Add legal policy pages and shared layout component

- Add Cookie Policy view documenting essential cookies (session, CSRF, remember_me, fa_location) and cookieless Umami analytics
- Add Privacy Policy view covering UK GDPR compliance, data categories, lawful bases, processors, retention, and user rights
- Add Refund & Cancellation Policy view explaining 14-day cooling-off period under Consumer Contracts Regulations 2013 and express-consent flow
- Add Terms of Service view defining account rules, subscription billing, and governing law
- Create shared legal layout component with FuelAlert header, footer with cross-links, and consistent typography
- Add feature tests covering all four legal pages and their cross-links
- All policies include placeholders for ICO registration number, email, and hosting/email providers pending production config

.claude/settings.json

@@ -18,7 +18,13 @@
             "Bash(rg * .env)",
             "Bash(rg * ./.env)",
             "Bash(awk * .env)",
-            "Bash(awk * ./.env)"
+            "Bash(awk * ./.env)",
+            "Bash(php artisan migrate:fresh)",
+            "Bash(php artisan migrate:fresh *)",
+            "Bash(php artisan migrate:reset)",
+            "Bash(php artisan migrate:reset *)",
+            "Bash(php artisan db:wipe)",
+            "Bash(php artisan db:wipe *)"
         ]
     }
 }

.env.example

@@ -1,8 +1,8 @@
-APP_NAME="Fuel Finder"
+APP_NAME="Fuel Alert"
 APP_ENV=local
 APP_KEY=
 APP_DEBUG=true
-APP_URL=http://fuel-price.test
+APP_URL=http://fuel-alert.test
 
 APP_LOCALE=en
 APP_FALLBACK_LOCALE=en
@@ -31,7 +31,7 @@ SESSION_DRIVER=database
 SESSION_LIFETIME=120
 SESSION_ENCRYPT=false
 SESSION_PATH=/
-SESSION_DOMAIN=.fuel-price.test
+SESSION_DOMAIN=.fuel-alert.test
 
 BROADCAST_CONNECTION=log
 FILESYSTEM_DISK=local
@@ -97,4 +97,4 @@ STRIPE_PRICE_PLUS_ANNUAL=price_1TM3pXJuhjW3IKHlfQenHsf1
 STRIPE_PRICE_PRO_MONTHLY=
 STRIPE_PRICE_PRO_ANNUAL=
 
-SANCTUM_STATEFUL_DOMAINS=fuel-price.test
+SANCTUM_STATEFUL_DOMAINS=fuel-alert.test

.gitignore

@@ -1,3 +1,4 @@
+.DS_Store
 /.phpunit.cache
 /node_modules
 /public/build

CLAUDE.md

@@ -3,6 +3,20 @@
 UK fuel price intelligence app. Subscribers receive fill-up timing recommendations
 based on local price trends. Built solo by a PHP/Laravel developer.
 
+## Destructive DB operations — HARD STOP
+
+**Never run** the following commands. If one of them is the right step, stop, tell the user the exact command, and ask them to run it themselves:
+
+- `php artisan migrate:fresh` (with any flags, including `--seed`)
+- `php artisan migrate:reset`
+- `php artisan db:wipe`
+- Raw `DROP TABLE`, `DROP DATABASE`, or `TRUNCATE` via tinker, `database-query`, or any MCP tool
+- Any sequence that effectively rebuilds the schema or drops tables
+
+These are also blocked at the harness level via `.claude/settings.json` deny rules, but the prose rule applies everywhere the block doesn't reach (compound shell commands, MCP tools, etc.).
+
+A user saying "trust me", "do the refactor", "clean up the mess", or "I want it in db" is **not** authorisation for these — the architectural decision is separate from the operational step. If a migration is awkward to apply in-place, propose the in-place version (read JSON → populate new columns → drop the old column) instead of suggesting a rebuild. Asking once at the start of a task does not authorise repeat wipes later in the session.
+
 ## Project overview
 
 - **Product**: "Fill up now or wait?" — local fuel price trend scoring for UK drivers

app/Console/Commands/BackfillOilPrices.php

@@ -0,0 +1,33 @@
+<?php
+
+namespace App\Console\Commands;
+
+use App\Services\BrentPriceFetcher;
+use App\Services\BrentPriceSources\BrentPriceFetchException;
+use Illuminate\Console\Attributes\Description;
+use Illuminate\Console\Attributes\Signature;
+use Illuminate\Console\Command;
+
+#[Signature('oil:backfill {--from=2018-01-01 : ISO start date (inclusive)} {--to= : ISO end date (defaults to today, inclusive)}')]
+#[Description('One-shot backfill of historical Brent crude prices from FRED into brent_prices.')]
+class BackfillOilPrices extends Command
+{
+    public function handle(BrentPriceFetcher $fetcher): int
+    {
+        $from = (string) $this->option('from');
+        $to = (string) ($this->option('to') ?: now()->toDateString());
+
+        $this->info("Backfilling Brent ({$from} → {$to}) from FRED...");
+
+        try {
+            $count = $fetcher->backfillFromFred($from, $to);
+            $this->info(sprintf('Upserted %d Brent rows.', $count));
+
+            return self::SUCCESS;
+        } catch (BrentPriceFetchException $e) {
+            $this->error('FRED backfill failed: '.$e->getMessage());
+
+            return self::FAILURE;
+        }
+    }
+}

app/Console/Commands/EvaluateVolatilityRegime.php

@@ -0,0 +1,30 @@
+<?php
+
+namespace App\Console\Commands;
+
+use App\Services\Forecasting\VolatilityRegimeService;
+use Illuminate\Console\Attributes\Description;
+use Illuminate\Console\Attributes\Signature;
+use Illuminate\Console\Command;
+
+#[Signature('forecast:evaluate-volatility')]
+#[Description('Evaluate the volatility regime triggers and update volatility_regimes accordingly. Hourly cron.')]
+class EvaluateVolatilityRegime extends Command
+{
+    public function handle(VolatilityRegimeService $service): int
+    {
+        $regime = $service->evaluate();
+
+        if ($regime === null) {
+            $this->info('Volatility regime: OFF');
+        } else {
+            $this->info(sprintf(
+                'Volatility regime: ON (trigger=%s, since %s)',
+                $regime->trigger,
+                $regime->flipped_on_at->toIso8601String(),
+            ));
+        }
+
+        return self::SUCCESS;
+    }
+}

app/Console/Commands/ImportBeisFuelPrices.php

@@ -0,0 +1,35 @@
+<?php
+
+namespace App\Console\Commands;
+
+use App\Services\Forecasting\BeisImporter;
+use Illuminate\Console\Attributes\Description;
+use Illuminate\Console\Attributes\Signature;
+use Illuminate\Console\Command;
+use Throwable;
+
+#[Signature('beis:import')]
+#[Description('Pull the latest gov.uk Weekly road fuel prices CSV and upsert into weekly_pump_prices.')]
+class ImportBeisFuelPrices extends Command
+{
+    public function handle(BeisImporter $importer): int
+    {
+        try {
+            $result = $importer->import();
+        } catch (Throwable $e) {
+            $this->error('BEIS import failed: '.$e->getMessage());
+
+            return self::FAILURE;
+        }
+
+        $this->info(sprintf(
+            'Imported %d rows from %s — latest date: %s.',
+            $result['parsed'],
+            $result['csv_url'],
+            $result['latest_date'],
+        ));
+        $this->info('Forecast cache flushed; next API hit will retrain on the new row.');
+
+        return self::SUCCESS;
+    }
+}

app/Console/Commands/PredictOilPrices.php

@@ -1,58 +0,0 @@
-<?php
-
-namespace App\Console\Commands;
-
-use App\Services\BrentPricePredictor;
-use Illuminate\Console\Command;
-use Throwable;
-
-class PredictOilPrices extends Command
-{
-    protected $signature = 'oil:predict {--force : Generate even if the latest price already has a prediction}';
-
-    protected $description = 'Generate a Brent crude oil price direction prediction';
-
-    public function handle(BrentPricePredictor $predictor): int
-    {
-        try {
-            $latest = $predictor->latestPrice();
-
-            if ($latest?->prediction_generated_at !== null && ! $this->option('force')) {
-                $message = sprintf(
-                    'Prediction already generated for %s at %s.',
-                    $latest->date->toDateString(),
-                    $latest->prediction_generated_at->toDateTimeString(),
-                );
-
-                if (! $this->confirm($message.' Run again anyway?', default: false)) {
-                    $this->info('Skipped.');
-
-                    return self::SUCCESS;
-                }
-            }
-
-            $this->info('Generating prediction...');
-            $prediction = $predictor->generatePrediction();
-
-            if ($prediction === null) {
-                $this->error('Could not generate a prediction — not enough price data.');
-
-                return self::FAILURE;
-            }
-
-            $this->info(sprintf(
-                'Done. [%s] direction=%s confidence=%d%% — %s',
-                strtoupper($prediction->source->value),
-                $prediction->direction->value,
-                $prediction->confidence,
-                $prediction->reasoning,
-            ));
-        } catch (Throwable $e) {
-            $this->error("Prediction failed: {$e->getMessage()}");
-
-            return self::FAILURE;
-        }
-
-        return self::SUCCESS;
-    }
-}

app/Console/Commands/ResolveForecastOutcomes.php

@@ -0,0 +1,21 @@
+<?php
+
+namespace App\Console\Commands;
+
+use App\Services\Forecasting\OutcomeResolver;
+use Illuminate\Console\Attributes\Description;
+use Illuminate\Console\Attributes\Signature;
+use Illuminate\Console\Command;
+
+#[Signature('forecast:resolve-outcomes')]
+#[Description('Pair past weekly forecasts with the actual ULSP from BEIS data and write rows to forecast_outcomes.')]
+class ResolveForecastOutcomes extends Command
+{
+    public function handle(OutcomeResolver $resolver): int
+    {
+        $count = $resolver->resolvePending();
+        $this->info(sprintf('Resolved %d outstanding forecast(s).', $count));
+
+        return self::SUCCESS;
+    }
+}

app/Console/Commands/RunLlmOverlay.php

@@ -0,0 +1,34 @@
+<?php
+
+namespace App\Console\Commands;
+
+use App\Services\Forecasting\LlmOverlayService;
+use Illuminate\Console\Attributes\Description;
+use Illuminate\Console\Attributes\Signature;
+use Illuminate\Console\Command;
+
+#[Signature('forecast:llm-overlay {--event-driven : Honor the 4h cooldown (default: false; daily 07:00 cron always runs)}')]
+#[Description('Run the daily Anthropic web-search overlay on the current weekly forecast.')]
+class RunLlmOverlay extends Command
+{
+    public function handle(LlmOverlayService $service): int
+    {
+        $row = $service->run(eventDriven: (bool) $this->option('event-driven'));
+
+        if ($row === null) {
+            $this->warn('LLM overlay skipped (no API key, on cooldown, or rejected for empty citations).');
+
+            return self::SUCCESS;
+        }
+
+        $this->info(sprintf(
+            'Stored llm_overlays #%d — direction=%s confidence=%d major_impact=%s.',
+            $row->id,
+            $row->direction,
+            $row->confidence,
+            $row->major_impact_event ? 'YES' : 'no',
+        ));
+
+        return self::SUCCESS;
+    }
+}

app/Filament/NavigationGroup.php

@@ -13,6 +13,8 @@ enum NavigationGroup implements HasIcon, HasLabel
 
     case Data;
 
+    case Forecasting;
+
     case System;
 
     public function getLabel(): string
@@ -20,6 +22,7 @@ enum NavigationGroup implements HasIcon, HasLabel
         return match ($this) {
             self::Users => 'Users',
             self::Data => 'Data',
+            self::Forecasting => 'Forecasting',
             self::System => 'System',
         };
     }
@@ -29,6 +32,7 @@ enum NavigationGroup implements HasIcon, HasLabel
         return match ($this) {
             self::Users => 'heroicon-o-users',
             self::Data => 'heroicon-o-circle-stack',
+            self::Forecasting => null,
             self::System => 'heroicon-o-cog-6-tooth',
         };
     }

app/Filament/Resources/Backtests/BacktestResource.php

@@ -0,0 +1,62 @@
+<?php
+
+namespace App\Filament\Resources\Backtests;
+
+use App\Filament\NavigationGroup;
+use App\Filament\Resources\Backtests\Pages\ListBacktests;
+use App\Filament\Resources\Backtests\Pages\ViewBacktest;
+use App\Filament\Resources\Backtests\Schemas\BacktestInfolist;
+use App\Filament\Resources\Backtests\Tables\BacktestsTable;
+use App\Models\Backtest;
+use BackedEnum;
+use Filament\Resources\Resource;
+use Filament\Schemas\Schema;
+use Filament\Support\Icons\Heroicon;
+use Filament\Tables\Table;
+use Illuminate\Database\Eloquent\Model;
+
+class BacktestResource extends Resource
+{
+    protected static ?string $model = Backtest::class;
+
+    protected static string|BackedEnum|null $navigationIcon = Heroicon::OutlinedBeaker;
+
+    protected static string|\UnitEnum|null $navigationGroup = NavigationGroup::Forecasting;
+
+    protected static ?string $navigationLabel = 'Backtests';
+
+    protected static ?int $navigationSort = 3;
+
+    public static function infolist(Schema $schema): Schema
+    {
+        return BacktestInfolist::configure($schema);
+    }
+
+    public static function table(Table $table): Table
+    {
+        return BacktestsTable::configure($table);
+    }
+
+    public static function canCreate(): bool
+    {
+        return false;
+    }
+
+    public static function canEdit(Model $record): bool
+    {
+        return false;
+    }
+
+    public static function canDelete(Model $record): bool
+    {
+        return false;
+    }
+
+    public static function getPages(): array
+    {
+        return [
+            'index' => ListBacktests::route('/'),
+            'view' => ViewBacktest::route('/{record}'),
+        ];
+    }
+}

app/Filament/Resources/Backtests/Pages/ListBacktests.php

@@ -0,0 +1,16 @@
+<?php
+
+namespace App\Filament\Resources\Backtests\Pages;
+
+use App\Filament\Resources\Backtests\BacktestResource;
+use Filament\Resources\Pages\ListRecords;
+
+class ListBacktests extends ListRecords
+{
+    protected static string $resource = BacktestResource::class;
+
+    protected function getHeaderActions(): array
+    {
+        return [];
+    }
+}

app/Filament/Resources/Backtests/Pages/ViewBacktest.php

@@ -0,0 +1,16 @@
+<?php
+
+namespace App\Filament\Resources\Backtests\Pages;
+
+use App\Filament\Resources\Backtests\BacktestResource;
+use Filament\Resources\Pages\ViewRecord;
+
+class ViewBacktest extends ViewRecord
+{
+    protected static string $resource = BacktestResource::class;
+
+    protected function getHeaderActions(): array
+    {
+        return [];
+    }
+}

app/Filament/Resources/Backtests/Schemas/BacktestInfolist.php

@@ -0,0 +1,89 @@
+<?php
+
+namespace App\Filament\Resources\Backtests\Schemas;
+
+use App\Models\Backtest;
+use Filament\Infolists\Components\IconEntry;
+use Filament\Infolists\Components\KeyValueEntry;
+use Filament\Infolists\Components\TextEntry;
+use Filament\Schemas\Components\Section;
+use Filament\Schemas\Schema;
+
+class BacktestInfolist
+{
+    public static function configure(Schema $schema): Schema
+    {
+        return $schema->components([
+            Section::make('Run')->columns(3)->schema([
+                TextEntry::make('model_version')->columnSpanFull(),
+                TextEntry::make('directional_accuracy')
+                    ->label('Accuracy')
+                    ->state(fn (Backtest $record): string => $record->directional_accuracy === null
+                        ? '—'
+                        : round((float) $record->directional_accuracy, 1).'%'),
+                TextEntry::make('mae_pence')
+                    ->label('MAE')
+                    ->state(fn (Backtest $record): string => $record->mae_pence === null
+                        ? '—'
+                        : number_format((float) $record->mae_pence, 2).'p'),
+                IconEntry::make('leak_suspected')
+                    ->label('Leak suspected')
+                    ->boolean()
+                    ->trueColor('danger'),
+                TextEntry::make('train_start')->date('d M Y'),
+                TextEntry::make('train_end')->date('d M Y'),
+                TextEntry::make('eval_start')->date('d M Y'),
+                TextEntry::make('eval_end')->date('d M Y'),
+                TextEntry::make('ran_at')->dateTime('d M Y H:i'),
+            ]),
+            Section::make('Calibration table')
+                ->description('Empirical hit rate per magnitude bin from the eval window.')
+                ->schema([
+                    KeyValueEntry::make('calibration_table')
+                        ->hiddenLabel()
+                        ->keyLabel('Magnitude bin')
+                        ->valueLabel('Empirical hit rate')
+                        ->state(fn (Backtest $record): array => collect($record->calibration_table ?? [])
+                            ->mapWithKeys(fn ($value, $key) => [$key => round((float) $value * 100, 1).'%'])
+                            ->all())
+                        ->columnSpanFull(),
+                ]),
+            Section::make('Feature spec')->schema([
+                KeyValueEntry::make('features_json')
+                    ->hiddenLabel()
+                    ->state(fn (Backtest $record): array => self::flattenForKeyValue($record->features_json))
+                    ->columnSpanFull(),
+            ]),
+            Section::make('Coefficients')
+                ->visible(fn (Backtest $record) => $record->coefficients_json !== null)
+                ->collapsed()
+                ->schema([
+                    TextEntry::make('coefficients_json')
+                        ->hiddenLabel()
+                        ->state(fn (Backtest $record): string => json_encode(
+                            $record->coefficients_json,
+                            JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES
+                        ) ?: '')
+                        ->columnSpanFull(),
+                ]),
+        ]);
+    }
+
+    /**
+     * KeyValueEntry expects a flat string-keyed map, so collapse nested arrays
+     * into JSON strings rather than dropping them.
+     *
+     * @param  array<string, mixed>|null  $features
+     * @return array<string, string>
+     */
+    protected static function flattenForKeyValue(?array $features): array
+    {
+        return collect($features ?? [])
+            ->mapWithKeys(fn ($value, $key) => [
+                (string) $key => is_scalar($value)
+                    ? (string) $value
+                    : (json_encode($value, JSON_UNESCAPED_SLASHES) ?: ''),
+            ])
+            ->all();
+    }
+}

app/Filament/Resources/Backtests/Tables/BacktestsTable.php

@@ -0,0 +1,94 @@
+<?php
+
+namespace App\Filament\Resources\Backtests\Tables;
+
+use App\Models\Backtest;
+use Filament\Actions\ViewAction;
+use Filament\Tables\Columns\IconColumn;
+use Filament\Tables\Columns\TextColumn;
+use Filament\Tables\Filters\Filter;
+use Filament\Tables\Table;
+use Illuminate\Database\Eloquent\Builder;
+
+class BacktestsTable
+{
+    public static function configure(Table $table): Table
+    {
+        return $table
+            ->columns([
+                TextColumn::make('model_version')
+                    ->searchable()
+                    ->limit(32)
+                    ->tooltip(fn (Backtest $record) => strlen($record->model_version) > 32 ? $record->model_version : null),
+                TextColumn::make('directional_accuracy')
+                    ->label('Accuracy')
+                    ->state(fn (Backtest $record): string => $record->directional_accuracy === null
+                        ? '—'
+                        : round((float) $record->directional_accuracy, 1).'%')
+                    ->color(fn (Backtest $record) => self::accuracyColor($record))
+                    ->sortable(),
+                TextColumn::make('mae_pence')
+                    ->label('MAE')
+                    ->state(fn (Backtest $record): string => $record->mae_pence === null
+                        ? '—'
+                        : number_format((float) $record->mae_pence, 2).'p')
+                    ->sortable(),
+                IconColumn::make('leak_suspected')
+                    ->label('Leak?')
+                    ->boolean()
+                    ->trueColor('danger'),
+                TextColumn::make('eval_start')
+                    ->date('d M Y')
+                    ->sortable()
+                    ->toggleable(isToggledHiddenByDefault: true),
+                TextColumn::make('eval_end')
+                    ->date('d M Y')
+                    ->sortable()
+                    ->toggleable(isToggledHiddenByDefault: true),
+                TextColumn::make('ran_at')
+                    ->dateTime('d M Y H:i')
+                    ->sortable(),
+            ])
+            ->defaultSort('ran_at', 'desc')
+            ->filters([
+                Filter::make('leak_suspected')
+                    ->label('Suspicious accuracy (leak suspected)')
+                    ->toggle()
+                    ->query(fn (Builder $query) => $query->where('leak_suspected', true)),
+                Filter::make('below_ship_gate')
+                    ->label('Below ship gate')
+                    ->toggle()
+                    ->query(fn (Builder $query) => $query->where('directional_accuracy', '<', 62)),
+            ])
+            ->recordActions([
+                ViewAction::make(),
+            ]);
+    }
+
+    protected static function accuracyColor(Backtest $record): ?string
+    {
+        if ($record->directional_accuracy === null) {
+            return null;
+        }
+
+        $accuracy = (float) $record->directional_accuracy;
+
+        if ($accuracy > 75 && $record->leak_suspected) {
+            return 'danger';
+        }
+
+        if ($accuracy < 60) {
+            return 'danger';
+        }
+
+        if ($accuracy < 62) {
+            return 'warning';
+        }
+
+        if ($accuracy <= 75) {
+            return 'success';
+        }
+
+        return null;
+    }
+}

app/Filament/Resources/OilPredictionResource.php

@@ -1,141 +0,0 @@
-<?php
-
-namespace App\Filament\Resources;
-
-use App\Enums\PredictionSource;
-use App\Enums\TrendDirection;
-use App\Filament\NavigationGroup;
-use App\Filament\Resources\OilPredictionResource\Pages\ListOilPredictions;
-use App\Filament\Resources\OilPredictionResource\Pages\ViewOilPrediction;
-use App\Models\PricePrediction;
-use Filament\Actions\ViewAction;
-use Filament\Forms\Components\DatePicker;
-use Filament\Infolists\Components\TextEntry;
-use Filament\Resources\Resource;
-use Filament\Schemas\Components\Section;
-use Filament\Schemas\Schema;
-use Filament\Tables\Columns\TextColumn;
-use Filament\Tables\Filters\Filter;
-use Filament\Tables\Filters\SelectFilter;
-use Filament\Tables\Table;
-use Illuminate\Database\Eloquent\Builder;
-
-class OilPredictionResource extends Resource
-{
-    protected static ?string $model = PricePrediction::class;
-
-    protected static string|\UnitEnum|null $navigationGroup = NavigationGroup::Data;
-
-    protected static ?string $navigationLabel = 'Oil Predictions';
-
-    protected static ?int $navigationSort = 3;
-
-    public static function table(Table $table): Table
-    {
-        return $table
-            ->columns([
-                TextColumn::make('predicted_for')
-                    ->date('d M Y')
-                    ->sortable(),
-                TextColumn::make('source')
-                    ->badge()
-                    ->formatStateUsing(fn (PredictionSource $state) => match ($state) {
-                        PredictionSource::Llm => 'LLM',
-                        PredictionSource::LlmWithContext => 'LLM + Context',
-                        PredictionSource::Ewma => 'EWMA',
-                    })
-                    ->color(fn (PredictionSource $state) => match ($state) {
-                        PredictionSource::Llm => 'success',
-                        PredictionSource::LlmWithContext => 'warning',
-                        PredictionSource::Ewma => 'info',
-                    }),
-                TextColumn::make('direction')
-                    ->badge()
-                    ->color(fn (TrendDirection $state) => match ($state) {
-                        TrendDirection::Rising => 'danger',
-                        TrendDirection::Falling => 'success',
-                        TrendDirection::Flat => 'gray',
-                    }),
-                TextColumn::make('confidence')
-                    ->suffix('%')
-                    ->sortable(),
-                TextColumn::make('reasoning')
-                    ->limit(60)
-                    ->placeholder('—'),
-                TextColumn::make('generated_at')
-                    ->dateTime('d M Y H:i')
-                    ->sortable(),
-            ])
-            ->defaultSort('predicted_for', 'desc')
-            ->filters([
-                SelectFilter::make('source')
-                    ->options([
-                        PredictionSource::Llm->value => 'LLM',
-                        PredictionSource::LlmWithContext->value => 'LLM + Context',
-                        PredictionSource::Ewma->value => 'EWMA',
-                    ]),
-                SelectFilter::make('direction')
-                    ->options([
-                        TrendDirection::Rising->value => 'Rising',
-                        TrendDirection::Falling->value => 'Falling',
-                        TrendDirection::Flat->value => 'Flat',
-                    ]),
-                Filter::make('predicted_for')
-                    ->schema([
-                        DatePicker::make('from')->label('From'),
-                        DatePicker::make('until')->label('Until'),
-                    ])
-                    ->query(function (Builder $query, array $data) {
-                        $query
-                            ->when($data['from'], fn ($q, $d) => $q->whereDate('predicted_for', '>=', $d))
-                            ->when($data['until'], fn ($q, $d) => $q->whereDate('predicted_for', '<=', $d));
-                    }),
-            ])
-            ->recordActions([
-                ViewAction::make(),
-            ]);
-    }
-
-    public static function infolist(Schema $schema): Schema
-    {
-        return $schema->components([
-            Section::make('Prediction')->schema([
-                TextEntry::make('predicted_for')->date('d M Y'),
-                TextEntry::make('source')
-                    ->badge()
-                    ->formatStateUsing(fn (PredictionSource $state) => match ($state) {
-                        PredictionSource::Llm => 'LLM',
-                        PredictionSource::LlmWithContext => 'LLM + Context',
-                        PredictionSource::Ewma => 'EWMA',
-                    })
-                    ->color(fn (PredictionSource $state) => match ($state) {
-                        PredictionSource::Llm => 'success',
-                        PredictionSource::LlmWithContext => 'warning',
-                        PredictionSource::Ewma => 'info',
-                    }),
-                TextEntry::make('direction')
-                    ->badge()
-                    ->color(fn (TrendDirection $state) => match ($state) {
-                        TrendDirection::Rising => 'danger',
-                        TrendDirection::Falling => 'success',
-                        TrendDirection::Flat => 'gray',
-                    }),
-                TextEntry::make('confidence')->suffix('%'),
-                TextEntry::make('generated_at')->dateTime('d M Y H:i:s'),
-            ])->columns(3),
-            Section::make('Reasoning')->schema([
-                TextEntry::make('reasoning')
-                    ->columnSpanFull()
-                    ->placeholder('No reasoning recorded'),
-            ]),
-        ]);
-    }
-
-    public static function getPages(): array
-    {
-        return [
-            'index' => ListOilPredictions::route('/'),
-            'view' => ViewOilPrediction::route('/{record}'),
-        ];
-    }
-}

app/Filament/Resources/OilPredictionResource/Pages/ListOilPredictions.php

@@ -1,42 +0,0 @@
-<?php
-
-namespace App\Filament\Resources\OilPredictionResource\Pages;
-
-use App\Filament\Resources\OilPredictionResource;
-use Filament\Actions\Action;
-use Filament\Notifications\Notification;
-use Filament\Resources\Pages\ListRecords;
-use Illuminate\Support\Facades\Artisan;
-
-class ListOilPredictions extends ListRecords
-{
-    protected static string $resource = OilPredictionResource::class;
-
-    protected function getHeaderActions(): array
-    {
-        return [
-            Action::make('runPrediction')
-                ->label('Run Prediction Now')
-                ->icon('heroicon-o-cpu-chip')
-                ->requiresConfirmation()
-                ->modalHeading('Run oil price prediction?')
-                ->modalDescription('Generates a new prediction from the stored Brent prices. Runs even if a prediction already exists for the latest price.')
-                ->action(function () {
-                    $result = Artisan::call('oil:predict', ['--force' => true]);
-
-                    if ($result === 0) {
-                        Notification::make()
-                            ->title('Prediction generated successfully')
-                            ->success()
-                            ->send();
-                    } else {
-                        Notification::make()
-                            ->title('Prediction failed')
-                            ->body('Check API Logs for details.')
-                            ->danger()
-                            ->send();
-                    }
-                }),
-        ];
-    }
-}

app/Filament/Resources/OilPredictionResource/Pages/ViewOilPrediction.php

@@ -1,16 +0,0 @@
-<?php
-
-namespace App\Filament\Resources\OilPredictionResource\Pages;
-
-use App\Filament\Resources\OilPredictionResource;
-use Filament\Resources\Pages\ViewRecord;
-
-class ViewOilPrediction extends ViewRecord
-{
-    protected static string $resource = OilPredictionResource::class;
-
-    protected function getHeaderActions(): array
-    {
-        return [];
-    }
-}

app/Filament/Resources/WatchedEvents/Pages/CreateWatchedEvent.php

@@ -0,0 +1,11 @@
+<?php
+
+namespace App\Filament\Resources\WatchedEvents\Pages;
+
+use App\Filament\Resources\WatchedEvents\WatchedEventResource;
+use Filament\Resources\Pages\CreateRecord;
+
+class CreateWatchedEvent extends CreateRecord
+{
+    protected static string $resource = WatchedEventResource::class;
+}

app/Filament/Resources/WatchedEvents/Pages/EditWatchedEvent.php

@@ -0,0 +1,19 @@
+<?php
+
+namespace App\Filament\Resources\WatchedEvents\Pages;
+
+use App\Filament\Resources\WatchedEvents\WatchedEventResource;
+use Filament\Actions\DeleteAction;
+use Filament\Resources\Pages\EditRecord;
+
+class EditWatchedEvent extends EditRecord
+{
+    protected static string $resource = WatchedEventResource::class;
+
+    protected function getHeaderActions(): array
+    {
+        return [
+            DeleteAction::make(),
+        ];
+    }
+}

app/Filament/Resources/WatchedEvents/Pages/ListWatchedEvents.php

@@ -0,0 +1,19 @@
+<?php
+
+namespace App\Filament\Resources\WatchedEvents\Pages;
+
+use App\Filament\Resources\WatchedEvents\WatchedEventResource;
+use Filament\Actions\CreateAction;
+use Filament\Resources\Pages\ListRecords;
+
+class ListWatchedEvents extends ListRecords
+{
+    protected static string $resource = WatchedEventResource::class;
+
+    protected function getHeaderActions(): array
+    {
+        return [
+            CreateAction::make(),
+        ];
+    }
+}

app/Filament/Resources/WatchedEvents/Schemas/WatchedEventForm.php

@@ -0,0 +1,32 @@
+<?php
+
+namespace App\Filament\Resources\WatchedEvents\Schemas;
+
+use Filament\Forms\Components\DateTimePicker;
+use Filament\Forms\Components\Textarea;
+use Filament\Forms\Components\TextInput;
+use Filament\Schemas\Schema;
+
+class WatchedEventForm
+{
+    public static function configure(Schema $schema): Schema
+    {
+        return $schema->components([
+            TextInput::make('label')
+                ->required()
+                ->maxLength(128)
+                ->helperText('Short geopolitical event label, e.g. "Iran tensions Apr–May 2026".'),
+            DateTimePicker::make('starts_at')
+                ->label('Starts at')
+                ->required(),
+            DateTimePicker::make('ends_at')
+                ->label('Ends at')
+                ->required()
+                ->after('starts_at'),
+            Textarea::make('notes')
+                ->maxLength(2000)
+                ->rows(4)
+                ->columnSpanFull(),
+        ]);
+    }
+}

app/Filament/Resources/WatchedEvents/Tables/WatchedEventsTable.php

@@ -0,0 +1,71 @@
+<?php
+
+namespace App\Filament\Resources\WatchedEvents\Tables;
+
+use App\Models\WatchedEvent;
+use Filament\Actions\BulkActionGroup;
+use Filament\Actions\DeleteAction;
+use Filament\Actions\DeleteBulkAction;
+use Filament\Actions\EditAction;
+use Filament\Tables\Columns\TextColumn;
+use Filament\Tables\Filters\Filter;
+use Filament\Tables\Table;
+use Illuminate\Database\Eloquent\Builder;
+
+class WatchedEventsTable
+{
+    public static function configure(Table $table): Table
+    {
+        return $table
+            ->columns([
+                TextColumn::make('label')
+                    ->searchable()
+                    ->sortable()
+                    ->limit(60)
+                    ->tooltip(fn (WatchedEvent $record) => strlen($record->label) > 60 ? $record->label : null),
+                TextColumn::make('starts_at')
+                    ->dateTime('d M Y H:i')
+                    ->sortable(),
+                TextColumn::make('ends_at')
+                    ->dateTime('d M Y H:i')
+                    ->sortable(),
+                TextColumn::make('status')
+                    ->label('Status')
+                    ->badge()
+                    ->state(fn (WatchedEvent $record): string => self::isActive($record) ? 'Active' : 'Inactive')
+                    ->color(fn (string $state) => $state === 'Active' ? 'success' : 'gray'),
+                TextColumn::make('notes')
+                    ->limit(50)
+                    ->placeholder('—')
+                    ->toggleable(isToggledHiddenByDefault: true),
+            ])
+            ->defaultSort('starts_at', 'desc')
+            ->filters([
+                Filter::make('currently_active')
+                    ->label('Currently active')
+                    ->toggle()
+                    ->query(fn (Builder $query) => $query
+                        ->where('starts_at', '<=', now())
+                        ->where('ends_at', '>=', now())),
+            ])
+            ->recordActions([
+                EditAction::make(),
+                DeleteAction::make(),
+            ])
+            ->toolbarActions([
+                BulkActionGroup::make([
+                    DeleteBulkAction::make(),
+                ]),
+            ]);
+    }
+
+    protected static function isActive(WatchedEvent $record): bool
+    {
+        $now = now();
+
+        return $record->starts_at !== null
+            && $record->ends_at !== null
+            && $record->starts_at->lessThanOrEqualTo($now)
+            && $record->ends_at->greaterThanOrEqualTo($now);
+    }
+}

app/Filament/Resources/WatchedEvents/WatchedEventResource.php

@@ -0,0 +1,48 @@
+<?php
+
+namespace App\Filament\Resources\WatchedEvents;
+
+use App\Filament\NavigationGroup;
+use App\Filament\Resources\WatchedEvents\Pages\CreateWatchedEvent;
+use App\Filament\Resources\WatchedEvents\Pages\EditWatchedEvent;
+use App\Filament\Resources\WatchedEvents\Pages\ListWatchedEvents;
+use App\Filament\Resources\WatchedEvents\Schemas\WatchedEventForm;
+use App\Filament\Resources\WatchedEvents\Tables\WatchedEventsTable;
+use App\Models\WatchedEvent;
+use BackedEnum;
+use Filament\Resources\Resource;
+use Filament\Schemas\Schema;
+use Filament\Support\Icons\Heroicon;
+use Filament\Tables\Table;
+
+class WatchedEventResource extends Resource
+{
+    protected static ?string $model = WatchedEvent::class;
+
+    protected static string|BackedEnum|null $navigationIcon = Heroicon::OutlinedFlag;
+
+    protected static string|\UnitEnum|null $navigationGroup = NavigationGroup::Forecasting;
+
+    protected static ?string $navigationLabel = 'Watched Events';
+
+    protected static ?int $navigationSort = 1;
+
+    public static function form(Schema $schema): Schema
+    {
+        return WatchedEventForm::configure($schema);
+    }
+
+    public static function table(Table $table): Table
+    {
+        return WatchedEventsTable::configure($table);
+    }
+
+    public static function getPages(): array
+    {
+        return [
+            'index' => ListWatchedEvents::route('/'),
+            'create' => CreateWatchedEvent::route('/create'),
+            'edit' => EditWatchedEvent::route('/{record}/edit'),
+        ];
+    }
+}

app/Filament/Resources/WeeklyForecasts/Pages/ListWeeklyForecasts.php

@@ -0,0 +1,16 @@
+<?php
+
+namespace App\Filament\Resources\WeeklyForecasts\Pages;
+
+use App\Filament\Resources\WeeklyForecasts\WeeklyForecastResource;
+use Filament\Resources\Pages\ListRecords;
+
+class ListWeeklyForecasts extends ListRecords
+{
+    protected static string $resource = WeeklyForecastResource::class;
+
+    protected function getHeaderActions(): array
+    {
+        return [];
+    }
+}

app/Filament/Resources/WeeklyForecasts/Pages/ViewWeeklyForecast.php

@@ -0,0 +1,16 @@
+<?php
+
+namespace App\Filament\Resources\WeeklyForecasts\Pages;
+
+use App\Filament\Resources\WeeklyForecasts\WeeklyForecastResource;
+use Filament\Resources\Pages\ViewRecord;
+
+class ViewWeeklyForecast extends ViewRecord
+{
+    protected static string $resource = WeeklyForecastResource::class;
+
+    protected function getHeaderActions(): array
+    {
+        return [];
+    }
+}

app/Filament/Resources/WeeklyForecasts/Schemas/WeeklyForecastInfolist.php

@@ -0,0 +1,62 @@
+<?php
+
+namespace App\Filament\Resources\WeeklyForecasts\Schemas;
+
+use App\Models\WeeklyForecast;
+use Filament\Infolists\Components\IconEntry;
+use Filament\Infolists\Components\TextEntry;
+use Filament\Schemas\Components\Section;
+use Filament\Schemas\Schema;
+
+class WeeklyForecastInfolist
+{
+    public static function configure(Schema $schema): Schema
+    {
+        return $schema->components([
+            Section::make('Forecast')->columns(3)->schema([
+                TextEntry::make('forecast_for')->date('d M Y'),
+                TextEntry::make('direction')
+                    ->badge()
+                    ->color(fn (string $state) => match ($state) {
+                        'rising' => 'warning',
+                        'falling' => 'success',
+                        default => 'gray',
+                    }),
+                TextEntry::make('magnitude_pence')
+                    ->label('Magnitude')
+                    ->state(fn (WeeklyForecast $record): string => self::formatMagnitude($record->magnitude_pence)),
+                TextEntry::make('ridge_confidence')
+                    ->label('Confidence')
+                    ->state(fn (WeeklyForecast $record): string => $record->ridge_confidence.'%')
+                    ->color(fn (WeeklyForecast $record) => $record->ridge_confidence < 40 ? 'warning' : null),
+                IconEntry::make('flagged_duty_change')
+                    ->label('Duty change adjacent')
+                    ->boolean()
+                    ->trueColor('warning'),
+                TextEntry::make('generated_at')->dateTime('d M Y H:i'),
+            ]),
+            Section::make('Reasoning')->schema([
+                TextEntry::make('reasoning')
+                    ->columnSpanFull()
+                    ->placeholder('No reasoning recorded.'),
+            ]),
+            Section::make('Model')
+                ->description('Calibration table from the matching backtest determines the displayed confidence.')
+                ->schema([
+                    TextEntry::make('model_version')->columnSpanFull(),
+                ]),
+        ]);
+    }
+
+    protected static function formatMagnitude(?int $magnitudePence): string
+    {
+        if ($magnitudePence === null) {
+            return '—';
+        }
+
+        $pence = round($magnitudePence / 100, 1);
+        $sign = $pence > 0 ? '+' : '';
+
+        return $sign.$pence.'p';
+    }
+}

app/Filament/Resources/WeeklyForecasts/Tables/WeeklyForecastsTable.php

@@ -0,0 +1,87 @@
+<?php
+
+namespace App\Filament\Resources\WeeklyForecasts\Tables;
+
+use App\Models\WeeklyForecast;
+use Filament\Actions\ViewAction;
+use Filament\Tables\Columns\IconColumn;
+use Filament\Tables\Columns\TextColumn;
+use Filament\Tables\Filters\Filter;
+use Filament\Tables\Filters\SelectFilter;
+use Filament\Tables\Table;
+use Illuminate\Database\Eloquent\Builder;
+
+class WeeklyForecastsTable
+{
+    public static function configure(Table $table): Table
+    {
+        return $table
+            ->columns([
+                TextColumn::make('forecast_for')
+                    ->label('Forecast for')
+                    ->date('d M Y')
+                    ->sortable(),
+                TextColumn::make('direction')
+                    ->badge()
+                    ->color(fn (string $state) => match ($state) {
+                        'rising' => 'warning',
+                        'falling' => 'success',
+                        default => 'gray',
+                    }),
+                TextColumn::make('magnitude_pence')
+                    ->label('Magnitude')
+                    ->state(fn (WeeklyForecast $record): string => self::formatMagnitude($record->magnitude_pence))
+                    ->sortable(),
+                TextColumn::make('ridge_confidence')
+                    ->label('Confidence')
+                    ->state(fn (WeeklyForecast $record): string => $record->ridge_confidence.'%')
+                    ->color(fn (WeeklyForecast $record) => $record->ridge_confidence < 40 ? 'warning' : null)
+                    ->sortable(),
+                IconColumn::make('flagged_duty_change')
+                    ->label('Duty change')
+                    ->boolean()
+                    ->trueColor('warning'),
+                TextColumn::make('model_version')
+                    ->searchable()
+                    ->limit(32)
+                    ->toggleable(isToggledHiddenByDefault: true),
+                TextColumn::make('generated_at')
+                    ->dateTime('d M Y H:i')
+                    ->sortable()
+                    ->toggleable(isToggledHiddenByDefault: true),
+            ])
+            ->defaultSort('forecast_for', 'desc')
+            ->filters([
+                SelectFilter::make('direction')
+                    ->multiple()
+                    ->options([
+                        'rising' => 'Rising',
+                        'falling' => 'Falling',
+                        'flat' => 'Flat',
+                    ]),
+                Filter::make('high_confidence')
+                    ->label('High confidence')
+                    ->toggle()
+                    ->query(fn (Builder $query) => $query->where('ridge_confidence', '>=', 70)),
+                Filter::make('flagged_duty_change')
+                    ->label('Duty-change-adjacent')
+                    ->toggle()
+                    ->query(fn (Builder $query) => $query->where('flagged_duty_change', true)),
+            ])
+            ->recordActions([
+                ViewAction::make(),
+            ]);
+    }
+
+    protected static function formatMagnitude(?int $magnitudePence): string
+    {
+        if ($magnitudePence === null) {
+            return '—';
+        }
+
+        $pence = round($magnitudePence / 100, 1);
+        $sign = $pence > 0 ? '+' : '';
+
+        return $sign.$pence.'p';
+    }
+}

app/Filament/Resources/WeeklyForecasts/WeeklyForecastResource.php

@@ -0,0 +1,62 @@
+<?php
+
+namespace App\Filament\Resources\WeeklyForecasts;
+
+use App\Filament\NavigationGroup;
+use App\Filament\Resources\WeeklyForecasts\Pages\ListWeeklyForecasts;
+use App\Filament\Resources\WeeklyForecasts\Pages\ViewWeeklyForecast;
+use App\Filament\Resources\WeeklyForecasts\Schemas\WeeklyForecastInfolist;
+use App\Filament\Resources\WeeklyForecasts\Tables\WeeklyForecastsTable;
+use App\Models\WeeklyForecast;
+use BackedEnum;
+use Filament\Resources\Resource;
+use Filament\Schemas\Schema;
+use Filament\Support\Icons\Heroicon;
+use Filament\Tables\Table;
+use Illuminate\Database\Eloquent\Model;
+
+class WeeklyForecastResource extends Resource
+{
+    protected static ?string $model = WeeklyForecast::class;
+
+    protected static string|BackedEnum|null $navigationIcon = Heroicon::OutlinedChartBar;
+
+    protected static string|\UnitEnum|null $navigationGroup = NavigationGroup::Forecasting;
+
+    protected static ?string $navigationLabel = 'Weekly Forecasts';
+
+    protected static ?int $navigationSort = 2;
+
+    public static function infolist(Schema $schema): Schema
+    {
+        return WeeklyForecastInfolist::configure($schema);
+    }
+
+    public static function table(Table $table): Table
+    {
+        return WeeklyForecastsTable::configure($table);
+    }
+
+    public static function canCreate(): bool
+    {
+        return false;
+    }
+
+    public static function canEdit(Model $record): bool
+    {
+        return false;
+    }
+
+    public static function canDelete(Model $record): bool
+    {
+        return false;
+    }
+
+    public static function getPages(): array
+    {
+        return [
+            'index' => ListWeeklyForecasts::route('/'),
+            'view' => ViewWeeklyForecast::route('/{record}'),
+        ];
+    }
+}

app/Filament/Widgets/StatsOverviewWidget.php

@@ -3,10 +3,10 @@
 namespace App\Filament\Widgets;
 
 use App\Models\ApiLog;
-use App\Models\PricePrediction;
 use App\Models\Search;
 use App\Models\Station;
 use App\Models\User;
+use App\Models\WeeklyForecast;
 use Carbon\Carbon;
 use Filament\Widgets\StatsOverviewWidget as BaseWidget;
 use Filament\Widgets\StatsOverviewWidget\Stat;
@@ -21,7 +21,7 @@ class StatsOverviewWidget extends BaseWidget
             $this->usersStat(),
             $this->searchesStat(),
             $this->stationsStat(),
-            $this->oilPredictionStat(),
+            $this->weeklyForecastStat(),
             $this->apiErrorsStat(),
         ];
     }
@@ -56,23 +56,23 @@ class StatsOverviewWidget extends BaseWidget
             ->color('success');
     }
 
-    private function oilPredictionStat(): Stat
+    private function weeklyForecastStat(): Stat
     {
-        $prediction = PricePrediction::bestFirst()->latest('generated_at')->first();
+        $forecast = WeeklyForecast::query()->latest('generated_at')->first();
 
-        if ($prediction === null) {
+        if ($forecast === null) {
-            return Stat::make('Latest oil prediction', 'None')
+            return Stat::make('Latest weekly forecast', 'None')
                 ->icon('heroicon-o-beaker')
                 ->color('gray');
         }
 
-        $ageHours = $prediction->generated_at->diffInHours(now());
+        $ageHours = $forecast->generated_at->diffInHours(now());
-        $color = $ageHours > 24 ? 'warning' : 'success';
+        $color = $ageHours > 168 ? 'warning' : 'success'; // weekly forecast → stale after a week
-        $value = $prediction->direction->label().' · '.$prediction->confidence.'%';
+        $directionLabel = ucfirst($forecast->direction);
+        $value = $directionLabel.' · '.$forecast->ridge_confidence.'%';
 
-        return Stat::make('Latest oil prediction', $value)
+        return Stat::make('Latest weekly forecast', $value)
-            ->description('Generated '.$prediction->generated_at->diffForHumans())
+            ->description('For week of '.$forecast->forecast_for->toDateString())
-            ->url(route('filament.admin.resources.oil-predictions.index'))
             ->icon('heroicon-o-beaker')
             ->color($color);
     }

app/Http/Controllers/Api/AuthController.php

@@ -64,19 +64,24 @@ class AuthController extends Controller
     public function me(Request $request): JsonResponse
     {
         $user = $request->user();
+
+        if ($user === null) {
+            return new JsonResponse('null', json: true);
+        }
+
         $subscription = $user->subscription();
 
         $expiresAt = $subscription?->ends_at ?? $subscription?->current_period_end;
 
-        return response()->json(array_merge(
+        return response()->json([
-            $user->toArray(),
+            'name' => $user->name,
-            [
+            'email' => $user->email,
+            'two_factor_confirmed_at' => $user->two_factor_confirmed_at?->toIso8601String(),
             'tier' => PlanFeatures::for($user)->tier(),
             'subscription_cancelled' => $subscription?->canceled() ?? false,
             'subscription_cadence' => Plan::resolveCadenceForUser($user),
             'subscribed_at' => $subscription?->created_at?->toIso8601String(),
             'subscription_expires_at' => $expiresAt?->toIso8601String(),
-            ],
+        ]);
-        ));
     }
 }

app/Models/ApiLog.php

@@ -7,7 +7,21 @@ use Illuminate\Database\Eloquent\Attributes\Fillable;
 use Illuminate\Database\Eloquent\Factories\HasFactory;
 use Illuminate\Database\Eloquent\Model;
 
-#[Fillable(['service', 'method', 'url', 'status_code', 'duration_ms', 'error'])]
+#[Fillable([
+    'service',
+    'method',
+    'url',
+    'status_code',
+    'duration_ms',
+    'error',
+    'response_body',
+    'input_tokens',
+    'output_tokens',
+    'cache_read_tokens',
+    'cache_write_tokens',
+    'ratelimit_remaining',
+    'ratelimit_reset_at',
+])]
 class ApiLog extends Model
 {
     /** @use HasFactory<ApiLogFactory> */
@@ -19,6 +33,7 @@ class ApiLog extends Model
     {
         return [
             'created_at' => 'datetime',
+            'ratelimit_reset_at' => 'datetime',
         ];
     }
 }

app/Models/Backtest.php

@@ -0,0 +1,45 @@
+<?php
+
+namespace App\Models;
+
+use Database\Factories\BacktestFactory;
+use Illuminate\Database\Eloquent\Attributes\Fillable;
+use Illuminate\Database\Eloquent\Factories\HasFactory;
+use Illuminate\Database\Eloquent\Model;
+
+#[Fillable([
+    'model_version',
+    'features_json',
+    'coefficients_json',
+    'train_start',
+    'train_end',
+    'eval_start',
+    'eval_end',
+    'directional_accuracy',
+    'mae_pence',
+    'calibration_table',
+    'leak_suspected',
+    'ran_at',
+])]
+class Backtest extends Model
+{
+    /** @use HasFactory<BacktestFactory> */
+    use HasFactory;
+
+    protected function casts(): array
+    {
+        return [
+            'features_json' => 'array',
+            'coefficients_json' => 'array',
+            'calibration_table' => 'array',
+            'train_start' => 'date',
+            'train_end' => 'date',
+            'eval_start' => 'date',
+            'eval_end' => 'date',
+            'directional_accuracy' => 'decimal:2',
+            'mae_pence' => 'decimal:2',
+            'leak_suspected' => 'boolean',
+            'ran_at' => 'datetime',
+        ];
+    }
+}

app/Models/ForecastOutcome.php

@@ -0,0 +1,36 @@
+<?php
+
+namespace App\Models;
+
+use Illuminate\Database\Eloquent\Attributes\Fillable;
+use Illuminate\Database\Eloquent\Model;
+
+#[Fillable([
+    'forecast_for',
+    'model_version',
+    'predicted_class',
+    'actual_class',
+    'correct',
+    'abs_error_pence',
+    'resolved_at',
+])]
+class ForecastOutcome extends Model
+{
+    public $timestamps = false;
+
+    public $incrementing = false;
+
+    protected $primaryKey = 'forecast_for';
+
+    protected $keyType = 'string';
+
+    protected function casts(): array
+    {
+        return [
+            'forecast_for' => 'date',
+            'correct' => 'boolean',
+            'abs_error_pence' => 'integer',
+            'resolved_at' => 'datetime',
+        ];
+    }
+}

app/Models/LlmOverlay.php

@@ -0,0 +1,35 @@
+<?php
+
+namespace App\Models;
+
+use Illuminate\Database\Eloquent\Attributes\Fillable;
+use Illuminate\Database\Eloquent\Model;
+
+#[Fillable([
+    'ran_at',
+    'forecast_for_week',
+    'direction',
+    'confidence',
+    'reasoning',
+    'events_json',
+    'agrees_with_ridge',
+    'major_impact_event',
+    'volatility_flag_on',
+    'search_used',
+])]
+class LlmOverlay extends Model
+{
+    protected function casts(): array
+    {
+        return [
+            'ran_at' => 'datetime',
+            'forecast_for_week' => 'date',
+            'confidence' => 'integer',
+            'events_json' => 'array',
+            'agrees_with_ridge' => 'boolean',
+            'major_impact_event' => 'boolean',
+            'volatility_flag_on' => 'boolean',
+            'search_used' => 'boolean',
+        ];
+    }
+}

app/Models/PricePrediction.php

@@ -1,54 +0,0 @@
-<?php
-
-namespace App\Models;
-
-use App\Enums\PredictionSource;
-use App\Enums\TrendDirection;
-use Database\Factories\PricePredictionFactory;
-use Illuminate\Database\Eloquent\Attributes\Fillable;
-use Illuminate\Database\Eloquent\Builder;
-use Illuminate\Database\Eloquent\Factories\HasFactory;
-use Illuminate\Database\Eloquent\Model;
-
-#[Fillable(['predicted_for', 'source', 'direction', 'confidence', 'reasoning', 'generated_at'])]
-class PricePrediction extends Model
-{
-    /** @use HasFactory<PricePredictionFactory> */
-    use HasFactory;
-
-    public $timestamps = false;
-
-    protected function casts(): array
-    {
-        return [
-            'predicted_for' => 'date',
-            'source' => PredictionSource::class,
-            'direction' => TrendDirection::class,
-            'confidence' => 'integer',
-            'generated_at' => 'datetime',
-        ];
-    }
-
-    /**
-     * Order by source quality: llm_with_context → llm → ewma.
-     * Use this whenever reading the "best" prediction for a given date.
-     *
-     * @param  Builder<PricePrediction>  $query
-     * @return Builder<PricePrediction>
-     */
-    public function scopeBestFirst(Builder $query): Builder
-    {
-        $priority = [
-            PredictionSource::LlmWithContext->value,
-            PredictionSource::Llm->value,
-            PredictionSource::Ewma->value,
-        ];
-
-        $cases = '';
-        foreach ($priority as $rank => $source) {
-            $cases .= " WHEN '$source' THEN $rank";
-        }
-
-        return $query->orderByRaw("CASE source$cases ELSE ".count($priority).' END');
-    }
-}

app/Models/VolatilityRegime.php

@@ -0,0 +1,30 @@
+<?php
+
+namespace App\Models;
+
+use Illuminate\Database\Eloquent\Attributes\Fillable;
+use Illuminate\Database\Eloquent\Model;
+
+#[Fillable([
+    'flipped_on_at',
+    'flipped_off_at',
+    'trigger',
+    'trigger_detail',
+    'active',
+])]
+class VolatilityRegime extends Model
+{
+    protected function casts(): array
+    {
+        return [
+            'flipped_on_at' => 'datetime',
+            'flipped_off_at' => 'datetime',
+            'active' => 'boolean',
+        ];
+    }
+
+    public static function currentlyActive(): ?self
+    {
+        return static::query()->where('active', true)->orderByDesc('flipped_on_at')->first();
+    }
+}

app/Models/WatchedEvent.php

@@ -0,0 +1,28 @@
+<?php
+
+namespace App\Models;
+
+use Database\Factories\WatchedEventFactory;
+use Illuminate\Database\Eloquent\Attributes\Fillable;
+use Illuminate\Database\Eloquent\Factories\HasFactory;
+use Illuminate\Database\Eloquent\Model;
+
+#[Fillable([
+    'label',
+    'starts_at',
+    'ends_at',
+    'notes',
+])]
+class WatchedEvent extends Model
+{
+    /** @use HasFactory<WatchedEventFactory> */
+    use HasFactory;
+
+    protected function casts(): array
+    {
+        return [
+            'starts_at' => 'datetime',
+            'ends_at' => 'datetime',
+        ];
+    }
+}

app/Models/WeeklyForecast.php

@@ -0,0 +1,35 @@
+<?php
+
+namespace App\Models;
+
+use Database\Factories\WeeklyForecastFactory;
+use Illuminate\Database\Eloquent\Attributes\Fillable;
+use Illuminate\Database\Eloquent\Factories\HasFactory;
+use Illuminate\Database\Eloquent\Model;
+
+#[Fillable([
+    'forecast_for',
+    'model_version',
+    'direction',
+    'magnitude_pence',
+    'ridge_confidence',
+    'flagged_duty_change',
+    'reasoning',
+    'generated_at',
+])]
+class WeeklyForecast extends Model
+{
+    /** @use HasFactory<WeeklyForecastFactory> */
+    use HasFactory;
+
+    protected function casts(): array
+    {
+        return [
+            'forecast_for' => 'date',
+            'magnitude_pence' => 'integer',
+            'ridge_confidence' => 'integer',
+            'flagged_duty_change' => 'boolean',
+            'generated_at' => 'datetime',
+        ];
+    }
+}

app/Providers/AppServiceProvider.php

@@ -4,11 +4,6 @@ namespace App\Providers;
 
 use App\Listeners\HandleStripeWebhook;
 use App\Models\Subscription;
-use App\Services\ApiLogger;
-use App\Services\LlmPrediction\AnthropicPredictionProvider;
-use App\Services\LlmPrediction\GeminiPredictionProvider;
-use App\Services\LlmPrediction\OilPredictionProvider;
-use App\Services\LlmPrediction\OpenAiPredictionProvider;
 use Carbon\CarbonImmutable;
 use Illuminate\Support\Facades\Date;
 use Illuminate\Support\Facades\DB;
@@ -25,15 +20,9 @@ class AppServiceProvider extends ServiceProvider
      */
     public function register(): void
     {
-        $this->app->bind(OilPredictionProvider::class, function ($app) {
+        // No bindings here. The legacy LLM prediction provider binding
-            $logger = $app->make(ApiLogger::class);
+        // was removed when the Phase 4 ridge model + Phase 8
-
+        // LlmOverlayService replaced the old daily oil prediction.
-            return match (config('services.llm.provider')) {
-                'openai' => new OpenAiPredictionProvider($logger),
-                'gemini' => new GeminiPredictionProvider($logger),
-                default => new AnthropicPredictionProvider($logger),
-            };
-        });
     }
 
     /**

app/Services/ApiLogger.php

@@ -3,18 +3,29 @@
 namespace App\Services;
 
 use App\Models\ApiLog;
+use Illuminate\Http\Client\RequestException;
 use Illuminate\Http\Client\Response;
 use Illuminate\Support\Str;
 use Throwable;
 
 class ApiLogger
 {
+    /**
+     * Cap the stored response body. MEDIUMTEXT can hold ~16MB, but
+     * persisting more than 64KB is rarely useful for debugging and
+     * blows up the row size on busy services.
+     */
+    private const int RESPONSE_BODY_CAP = 65_536;
+
     /**
      * Execute an HTTP request and log it to api_logs.
      *
      * The callable must return an Illuminate\Http\Client\Response.
      * Exceptions are logged and re-thrown so the caller handles them.
      *
+     * Persists the response body to `api_logs.response_body` ONLY when
+     * the call failed (non-2xx) or threw. Truncates to RESPONSE_BODY_CAP.
+     *
      * @param  callable(): Response  $request
      */
     public function send(string $service, string $method, string $url, callable $request): Response
@@ -22,19 +33,31 @@ class ApiLogger
         $start = microtime(true);
         $statusCode = null;
         $error = null;
+        $responseBody = null;
+        $usage = [];
 
         try {
             $response = $request();
             $statusCode = $response->status();
+            $usage = $this->extractUsage($response);
 
             if ($response->failed()) {
-                $error = Str::limit($response->body(), 1000);
+                $body = $response->body();
+                $error = Str::limit($body, 1000);
+                $responseBody = $this->truncate($body);
             }
 
             return $response;
         } catch (Throwable $e) {
             $error = $e->getMessage();
 
+            // RequestException carries the response, ConnectionException
+            // doesn't. Pull the body when it's available.
+            if ($e instanceof RequestException) {
+                $responseBody = $this->truncate($e->response->body());
+                $usage = $this->extractUsage($e->response);
+            }
+
             throw $e;
         } finally {
             ApiLog::create([
@@ -44,7 +67,51 @@ class ApiLogger
                 'status_code' => $statusCode,
                 'duration_ms' => (int) round((microtime(true) - $start) * 1000),
                 'error' => $error,
+                'response_body' => $responseBody,
+                ...$usage,
             ]);
         }
     }
+
+    private function truncate(string $body): string
+    {
+        return strlen($body) > self::RESPONSE_BODY_CAP
+            ? substr($body, 0, self::RESPONSE_BODY_CAP)
+            : $body;
+    }
+
+    /**
+     * Pull token-usage and rate-limit telemetry from a provider response.
+     *
+     * Today only Anthropic exposes both. Other providers return mostly
+     * NULLs — callers don't need to know which is which.
+     *
+     * @return array<string, int|string|null>
+     */
+    private function extractUsage(?Response $response): array
+    {
+        if ($response === null) {
+            return [];
+        }
+
+        $usage = $response->json('usage');
+        $tokens = is_array($usage) ? $usage : [];
+
+        $reset = $response->header('anthropic-ratelimit-input-tokens-reset');
+        $remaining = $response->header('anthropic-ratelimit-input-tokens-remaining');
+
+        return [
+            'input_tokens' => $this->intOrNull($tokens['input_tokens'] ?? null),
+            'output_tokens' => $this->intOrNull($tokens['output_tokens'] ?? null),
+            'cache_read_tokens' => $this->intOrNull($tokens['cache_read_input_tokens'] ?? null),
+            'cache_write_tokens' => $this->intOrNull($tokens['cache_creation_input_tokens'] ?? null),
+            'ratelimit_remaining' => $this->intOrNull($remaining !== '' ? $remaining : null),
+            'ratelimit_reset_at' => $reset !== '' ? $reset : null,
+        ];
+    }
+
+    private function intOrNull(mixed $value): ?int
+    {
+        return is_numeric($value) ? (int) $value : null;
+    }
 }

app/Services/BrentPriceFetcher.php

@@ -41,4 +41,24 @@ final readonly class BrentPriceFetcher
 
         BrentPrice::upsert($rows, ['date'], ['price_usd']);
     }
+
+    /**
+     * One-shot Brent backfill via FRED's observation_start/end. Used to
+     * seed `brent_prices` going back to 2018 so Phase 9's volatility
+     * detector and Phase 8's LLM overlay have proper context.
+     *
+     * @return int rows inserted/updated
+     */
+    public function backfillFromFred(string $from, string $to): int
+    {
+        $rows = $this->fred->fetchRange($from, $to);
+
+        if ($rows === null) {
+            throw new BrentPriceFetchException("FRED backfill ({$from} → {$to}) returned no data");
+        }
+
+        BrentPrice::upsert($rows, ['date'], ['price_usd']);
+
+        return count($rows);
+    }
 }

app/Services/BrentPricePredictor.php

@@ -1,119 +0,0 @@
-<?php
-
-namespace App\Services;
-
-use App\Enums\PredictionSource;
-use App\Enums\TrendDirection;
-use App\Models\BrentPrice;
-use App\Models\PricePrediction;
-use App\Services\LlmPrediction\OilPredictionProvider;
-use Illuminate\Support\Collection;
-use Illuminate\Support\Facades\Log;
-
-final class BrentPricePredictor
-{
-    private const float EWMA_THRESHOLD_PCT = 1.5;
-
-    private const int EWMA_MAX_CONFIDENCE = 65;
-
-    private const int EWMA_MIN_ROWS = 14;
-
-    public function __construct(
-        private readonly OilPredictionProvider $provider,
-    ) {}
-
-    /**
-     * Return the latest BrentPrice row, or null if none exists.
-     */
-    public function latestPrice(): ?BrentPrice
-    {
-        return BrentPrice::orderBy('date', 'desc')->first();
-    }
-
-    /**
-     * Try LLM first; persist EWMA only as a fallback when the LLM provider
-     * returns null. The downstream OilSignal already prefers LLM
-     * (llm_with_context > llm > ewma), so writing both rows on every run is
-     * dead weight 95% of the time. EWMA still acts as the safety net.
-     */
-    public function generatePrediction(): ?PricePrediction
-    {
-        $prices = BrentPrice::orderBy('date', 'desc')->limit(30)->get();
-
-        if ($prices->count() < self::EWMA_MIN_ROWS) {
-            Log::warning('BrentPricePredictor: not enough price data', [
-                'rows' => $prices->count(),
-            ]);
-
-            return null;
-        }
-
-        $llm = $this->provider->predict($prices);
-
-        if ($llm !== null) {
-            PricePrediction::create($llm->toArray());
-            $prices->first()->forceFill(['prediction_generated_at' => now()])->save();
-
-            return $llm;
-        }
-
-        $ewma = $this->generateEwmaPrediction($prices);
-
-        if ($ewma !== null) {
-            PricePrediction::create($ewma->toArray());
-            $prices->first()->forceFill(['prediction_generated_at' => now()])->save();
-        }
-
-        return $ewma;
-    }
-
-    public function generateEwmaPrediction(Collection $prices): ?PricePrediction
-    {
-        $chronological = $prices->sortBy('date')->pluck('price_usd')->values()->all();
-
-        if (count($chronological) < self::EWMA_MIN_ROWS) {
-            return null;
-        }
-
-        $ewma3 = Ewma::compute(array_slice($chronological, -3));
-        $ewma7 = Ewma::compute(array_slice($chronological, -7));
-
-        $changePct = (($ewma3 - $ewma7) / $ewma7) * 100;
-
-        [$direction, $confidence] = match (true) {
-            $changePct >= self::EWMA_THRESHOLD_PCT => [
-                TrendDirection::Rising,
-                $this->ewmaConfidence($changePct),
-            ],
-            $changePct <= -self::EWMA_THRESHOLD_PCT => [
-                TrendDirection::Falling,
-                $this->ewmaConfidence(abs($changePct)),
-            ],
-            default => [TrendDirection::Flat, 50],
-        };
-
-        $reasoning = sprintf(
-            '3-day EWMA ($%.2f) vs 7-day EWMA ($%.2f): %.2f%% %s.',
-            $ewma3,
-            $ewma7,
-            abs($changePct),
-            $direction === TrendDirection::Flat ? 'difference (flat)' : $direction->value,
-        );
-
-        return new PricePrediction([
-            'predicted_for' => now()->toDateString(),
-            'source' => PredictionSource::Ewma,
-            'direction' => $direction,
-            'confidence' => $confidence,
-            'reasoning' => $reasoning,
-            'generated_at' => now(),
-        ]);
-    }
-
-    private function ewmaConfidence(float $changePct): int
-    {
-        $scaled = min($changePct / 5.0, 1.0) * self::EWMA_MAX_CONFIDENCE;
-
-        return (int) round(max(30, $scaled));
-    }
-}

app/Services/BrentPriceSources/EiaBrentPriceSource.php

@@ -3,8 +3,9 @@
 namespace App\Services\BrentPriceSources;
 
 use App\Services\ApiLogger;
+use Illuminate\Http\Client\ConnectionException;
+use Illuminate\Http\Client\RequestException;
 use Illuminate\Support\Facades\Http;
-use Illuminate\Support\Facades\Log;
 use Throwable;
 
 final class EiaBrentPriceSource
@@ -14,12 +15,16 @@ final class EiaBrentPriceSource
     public function __construct(private readonly ApiLogger $apiLogger) {}
 
     /**
-     * @return array{date: string, price_usd: float}[]|null
+     * @return array{date: string, price_usd: float}[]|null null only when the response carried no usable rows
+     *
+     * @throws BrentPriceFetchException on network failure or non-2xx response after retries
      */
     public function fetch(): ?array
     {
         try {
-            $response = $this->apiLogger->send('eia', 'GET', self::URL, fn () => Http::timeout(10)
+            $response = $this->apiLogger->send('eia', 'GET', self::URL, fn () => Http::timeout(30)
+                ->retry(3, 200, fn (Throwable $e) => $this->shouldRetry($e))
+                ->throw()
                 ->get(self::URL, [
                     'api_key' => config('services.eia.api_key'),
                     'frequency' => 'daily',
@@ -29,11 +34,10 @@ final class EiaBrentPriceSource
                     'sort[0][direction]' => 'desc',
                     'length' => 30,
                 ]));
-
+        } catch (ConnectionException $e) {
-            if (! $response->successful()) {
+            throw new BrentPriceFetchException("EIA connection failed: {$e->getMessage()}", previous: $e);
-                Log::error('EiaBrentPriceSource: request failed', ['status' => $response->status()]);
+        } catch (RequestException $e) {
-
+            throw new BrentPriceFetchException("EIA returned HTTP {$e->response->status()}", previous: $e);
-                return null;
         }
 
         $rows = collect($response->json('response.data') ?? [])
@@ -44,17 +48,12 @@ final class EiaBrentPriceSource
             ])
             ->all();
 
-            if ($rows === []) {
+        return $rows === [] ? null : $rows;
-                Log::warning('EiaBrentPriceSource: no valid observations returned');
-
-                return null;
     }
 
-            return $rows;
+    private function shouldRetry(Throwable $e): bool
-        } catch (Throwable $e) {
+    {
-            Log::error('EiaBrentPriceSource: fetch failed', ['error' => $e->getMessage()]);
+        return $e instanceof ConnectionException
-
+            || ($e instanceof RequestException && $e->response->serverError());
-            return null;
-        }
     }
 }

app/Services/BrentPriceSources/FredBrentPriceSource.php

@@ -3,8 +3,9 @@
 namespace App\Services\BrentPriceSources;
 
 use App\Services\ApiLogger;
+use Illuminate\Http\Client\ConnectionException;
+use Illuminate\Http\Client\RequestException;
 use Illuminate\Support\Facades\Http;
-use Illuminate\Support\Facades\Log;
 use Throwable;
 
 final class FredBrentPriceSource
@@ -14,24 +15,60 @@ final class FredBrentPriceSource
     public function __construct(private readonly ApiLogger $apiLogger) {}
 
     /**
-     * @return array{date: string, price_usd: float}[]|null
+     * @return array{date: string, price_usd: float}[]|null null only when the response carried no usable rows
+     *
+     * @throws BrentPriceFetchException on network failure or non-2xx response after retries
      */
     public function fetch(): ?array
     {
-        try {
+        return $this->call([
-            $response = $this->apiLogger->send('fred', 'GET', self::URL, fn () => Http::timeout(10)
-                ->get(self::URL, [
-                    'series_id' => 'DCOILBRENTEU',
-                    'api_key' => config('services.fred.api_key'),
             'sort_order' => 'desc',
             'limit' => 30,
+        ]);
+    }
+
+    /**
+     * Backfill range (inclusive). FRED's `observation_start` /
+     * `observation_end` parameters expect ISO dates (YYYY-MM-DD).
+     * Returns null when the range is empty (e.g. all weekends/holidays).
+     *
+     * @return array{date: string, price_usd: float}[]|null
+     *
+     * @throws BrentPriceFetchException
+     */
+    public function fetchRange(string $from, string $to): ?array
+    {
+        return $this->call([
+            'observation_start' => $from,
+            'observation_end' => $to,
+            'sort_order' => 'asc',
+            'limit' => 100000,
+        ]);
+    }
+
+    /**
+     * @param  array<string, scalar>  $extraParams
+     * @return array{date: string, price_usd: float}[]|null
+     *
+     * @throws BrentPriceFetchException
+     */
+    private function call(array $extraParams): ?array
+    {
+        $params = array_merge([
+            'series_id' => 'DCOILBRENTEU',
+            'api_key' => config('services.fred.api_key'),
             'file_type' => 'json',
-                ]));
+        ], $extraParams);
 
-            if (! $response->successful()) {
+        try {
-                Log::error('FredBrentPriceSource: request failed', ['status' => $response->status()]);
+            $response = $this->apiLogger->send('fred', 'GET', self::URL, fn () => Http::timeout(60)
-
+                ->retry(3, 200, fn (Throwable $e) => $this->shouldRetry($e))
-                return null;
+                ->throw()
+                ->get(self::URL, $params));
+        } catch (ConnectionException $e) {
+            throw new BrentPriceFetchException("FRED connection failed: {$e->getMessage()}", previous: $e);
+        } catch (RequestException $e) {
+            throw new BrentPriceFetchException("FRED returned HTTP {$e->response->status()}", previous: $e);
         }
 
         $rows = collect($response->json('observations') ?? [])
@@ -42,17 +79,12 @@ final class FredBrentPriceSource
             ])
             ->all();
 
-            if ($rows === []) {
+        return $rows === [] ? null : $rows;
-                Log::warning('FredBrentPriceSource: no valid observations returned');
-
-                return null;
     }
 
-            return $rows;
+    private function shouldRetry(Throwable $e): bool
-        } catch (Throwable $e) {
+    {
-            Log::error('FredBrentPriceSource: fetch failed', ['error' => $e->getMessage()]);
+        return $e instanceof ConnectionException
-
+            || ($e instanceof RequestException && $e->response->serverError());
-            return null;
-        }
     }
 }

app/Services/Ewma.php

@@ -1,25 +0,0 @@
-<?php
-
-namespace App\Services;
-
-/**
- * Exponentially-weighted moving average. Pure function — used by
- * BrentPricePredictor for the EWMA fallback prediction and by
- * AnthropicPredictionProvider to enrich the basic-flow prompt.
- */
-final class Ewma
-{
-    public const float DEFAULT_ALPHA = 0.3;
-
-    /** @param  float[]  $prices  Chronological order (oldest first). */
-    public static function compute(array $prices, float $alpha = self::DEFAULT_ALPHA): float
-    {
-        $ema = $prices[0];
-
-        foreach (array_slice($prices, 1) as $price) {
-            $ema = $alpha * $price + (1 - $alpha) * $ema;
-        }
-
-        return round($ema, 4);
-    }
-}

app/Services/Forecasting/AccuracyHistory.php

@@ -0,0 +1,36 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use Carbon\Carbon;
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Trailing-13-week hit rate for a model_version. Read from
+ * `forecast_outcomes`. Returns null when fewer than 4 outcomes are
+ * available (a single bad week would otherwise dominate the ratio).
+ */
+final class AccuracyHistory
+{
+    private const int WEEKS = 13;
+
+    private const int MIN_OUTCOMES = 4;
+
+    public function trailingHitRate(string $modelVersion): ?float
+    {
+        $cutoff = Carbon::now()->subWeeks(self::WEEKS)->toDateString();
+
+        $row = DB::table('forecast_outcomes')
+            ->where('model_version', $modelVersion)
+            ->where('forecast_for', '>=', $cutoff)
+            ->selectRaw('COUNT(*) as total, SUM(CASE WHEN correct THEN 1 ELSE 0 END) as correct')
+            ->first();
+
+        $total = (int) ($row->total ?? 0);
+        if ($total < self::MIN_OUTCOMES) {
+            return null;
+        }
+
+        return (int) ($row->correct ?? 0) / $total;
+    }
+}

app/Services/Forecasting/BacktestRunner.php

@@ -0,0 +1,162 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Models\Backtest;
+use App\Services\Forecasting\Contracts\WeeklyForecastModel;
+use Carbon\CarbonInterface;
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Runs a WeeklyForecastModel through a train/eval split and persists
+ * the result to the `backtests` table.
+ *
+ * Pipeline:
+ *   1. Generate the training and eval Monday lists from the date ranges.
+ *   2. Run LeakDetector against every Monday × every feature. Refuse to
+ *      train if any source date is on or after a target Monday.
+ *   3. Train the model.
+ *   4. For each eval Monday: predict, look up actual ΔULSP from
+ *      `weekly_pump_prices`, score directional accuracy + abs error.
+ *   5. Persist a Backtest row, return it.
+ *
+ * The `leak_suspected` flag is a *secondary* smell test (true when
+ * directional_accuracy > 75). Primary leak defence is step 2.
+ */
+final class BacktestRunner
+{
+    private const float FLAT_THRESHOLD_PENCE_X100 = 20.0; // 0.2 p/L
+
+    public function __construct(
+        private readonly LeakDetector $leakDetector = new LeakDetector,
+    ) {}
+
+    public function run(
+        WeeklyForecastModel $model,
+        CarbonInterface $trainStart,
+        CarbonInterface $trainEnd,
+        CarbonInterface $evalStart,
+        CarbonInterface $evalEnd,
+    ): Backtest {
+        $trainingMondays = $this->mondaysBetween($trainStart, $trainEnd);
+        $evalMondays = $this->mondaysBetween($evalStart, $evalEnd);
+
+        $spec = $model->featureSpec();
+        $report = $this->leakDetector->validate($spec, [...$trainingMondays, ...$evalMondays]);
+        if ($report->hasLeaks()) {
+            throw new LeakDetectorException($report);
+        }
+
+        $model->train($trainingMondays);
+
+        $correct = 0;
+        $totalScored = 0;
+        $absErrors = [];
+        $bins = [];
+
+        foreach ($evalMondays as $monday) {
+            $actualDelta = $this->actualDeltaPence($monday);
+            if ($actualDelta === null) {
+                continue;
+            }
+
+            $prediction = $model->predict($monday);
+            $actualDirection = $this->classifyDirection($actualDelta);
+            $hit = $prediction->direction === $actualDirection;
+
+            $totalScored++;
+            $absErrors[] = abs($prediction->magnitudePence - $actualDelta);
+            if ($hit) {
+                $correct++;
+            }
+
+            $bin = $this->bucketForMagnitude($prediction->magnitudePence);
+            $bins[$bin] ??= ['correct' => 0, 'total' => 0];
+            $bins[$bin]['total']++;
+            if ($hit) {
+                $bins[$bin]['correct']++;
+            }
+        }
+
+        $directionalAccuracy = $totalScored === 0
+            ? null
+            : round(($correct / $totalScored) * 100, 2);
+
+        $maePence = $absErrors === []
+            ? null
+            : round((array_sum($absErrors) / count($absErrors)) / 100, 2);
+
+        $calibrationTable = [];
+        foreach ($bins as $key => $b) {
+            $calibrationTable[$key] = round($b['correct'] / $b['total'], 4);
+        }
+
+        return Backtest::create([
+            'model_version' => $spec->modelVersion(),
+            'features_json' => $spec->toArray(),
+            'coefficients_json' => $model->coefficients(),
+            'train_start' => $trainStart->toDateString(),
+            'train_end' => $trainEnd->toDateString(),
+            'eval_start' => $evalStart->toDateString(),
+            'eval_end' => $evalEnd->toDateString(),
+            'directional_accuracy' => $directionalAccuracy,
+            'mae_pence' => $maePence,
+            'calibration_table' => $calibrationTable,
+            'leak_suspected' => $directionalAccuracy !== null && $directionalAccuracy > 75.0,
+            'ran_at' => now(),
+        ]);
+    }
+
+    /** @return array<int, CarbonInterface> */
+    private function mondaysBetween(CarbonInterface $start, CarbonInterface $end): array
+    {
+        $mondays = [];
+        $cursor = $start->copy()->startOfDay();
+        $boundary = $end->copy()->startOfDay();
+
+        while ($cursor->lessThanOrEqualTo($boundary)) {
+            if ($cursor->dayOfWeek === CarbonInterface::MONDAY) {
+                $mondays[] = $cursor->copy();
+            }
+            $cursor = $cursor->addDay();
+        }
+
+        return $mondays;
+    }
+
+    private function actualDeltaPence(CarbonInterface $targetMonday): ?float
+    {
+        $current = DB::table('weekly_pump_prices')
+            ->where('date', $targetMonday->toDateString())
+            ->value('ulsp_pence');
+        $previous = DB::table('weekly_pump_prices')
+            ->where('date', $targetMonday->copy()->subDays(7)->toDateString())
+            ->value('ulsp_pence');
+
+        if ($current === null || $previous === null) {
+            return null;
+        }
+
+        return (float) ($current - $previous);
+    }
+
+    private function classifyDirection(float $deltaPence): string
+    {
+        return match (true) {
+            $deltaPence > self::FLAT_THRESHOLD_PENCE_X100 => 'rising',
+            $deltaPence < -self::FLAT_THRESHOLD_PENCE_X100 => 'falling',
+            default => 'flat',
+        };
+    }
+
+    private function bucketForMagnitude(float $magnitudePence): string
+    {
+        $abs = abs($magnitudePence);
+
+        return match (true) {
+            $abs < 50.0 => '0.0-0.5p',
+            $abs < 100.0 => '0.5-1.0p',
+            default => '1.0p+',
+        };
+    }
+}

app/Services/Forecasting/BeisImporter.php

@@ -0,0 +1,138 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use DateTime;
+use Illuminate\Support\Facades\Cache;
+use Illuminate\Support\Facades\DB;
+use Illuminate\Support\Facades\Http;
+use RuntimeException;
+
+/**
+ * Pulls the latest "Weekly road fuel prices (CSV) 2018 to 2026"
+ * attachment from gov.uk's content API and upserts into
+ * `weekly_pump_prices`.
+ *
+ * Idempotent: re-running on a day with no new publication is a no-op
+ * (rows match by primary key `date`, content is unchanged).
+ *
+ * The forecast cache is busted at the end so the next API hit retrains
+ * the ridge model on the fresh row.
+ */
+final class BeisImporter
+{
+    private const string API_URL = 'https://www.gov.uk/api/content/government/statistics/weekly-road-fuel-prices';
+
+    private const string ATTACHMENT_TITLE = 'Weekly road fuel prices (CSV) 2018 to 2026';
+
+    /**
+     * @return array{
+     *   csv_url: string,
+     *   parsed: int,
+     *   upserted: int,
+     *   latest_date: string,
+     * }
+     */
+    public function import(): array
+    {
+        $url = $this->resolveCsvUrl();
+        $csv = $this->downloadCsv($url);
+        $rows = $this->parse($csv);
+
+        if ($rows === []) {
+            throw new RuntimeException('BEIS CSV parsed empty — check delimiter / encoding');
+        }
+
+        DB::table('weekly_pump_prices')->upsert(
+            $rows,
+            ['date'],
+            ['ulsp_pence', 'ulsd_pence', 'ulsp_duty_pence', 'ulsd_duty_pence', 'ulsp_vat_pct', 'ulsd_vat_pct'],
+        );
+
+        Cache::flush();
+
+        $latest = (string) collect($rows)->pluck('date')->sortDesc()->first();
+
+        return [
+            'csv_url' => $url,
+            'parsed' => count($rows),
+            'upserted' => count($rows),
+            'latest_date' => $latest,
+        ];
+    }
+
+    private function resolveCsvUrl(): string
+    {
+        $response = Http::timeout(15)->acceptJson()->get(self::API_URL);
+        $response->throw();
+
+        $attachments = $response->json('details.attachments', []);
+        foreach ($attachments as $a) {
+            if (($a['title'] ?? null) === self::ATTACHMENT_TITLE) {
+                $url = $a['url'] ?? null;
+                if (! is_string($url) || $url === '') {
+                    throw new RuntimeException('BEIS attachment had empty URL');
+                }
+
+                return $url;
+            }
+        }
+
+        throw new RuntimeException(sprintf(
+            'gov.uk content API did not return an attachment titled %s',
+            self::ATTACHMENT_TITLE,
+        ));
+    }
+
+    private function downloadCsv(string $url): string
+    {
+        $response = Http::timeout(60)->get($url);
+        $response->throw();
+
+        return $response->body();
+    }
+
+    /**
+     * @return array<int, array<string, int|string>>
+     */
+    private function parse(string $csv): array
+    {
+        $rows = [];
+        $lines = preg_split('/\r\n|\r|\n/', $csv);
+        if ($lines === false || count($lines) < 2) {
+            return [];
+        }
+
+        // Skip header.
+        array_shift($lines);
+
+        foreach ($lines as $line) {
+            $line = trim($line);
+            if ($line === '') {
+                continue;
+            }
+
+            $cols = str_getcsv($line, escape: '\\');
+            if (count($cols) < 7) {
+                continue;
+            }
+
+            $date = DateTime::createFromFormat('d/m/Y', trim($cols[0]));
+            if ($date === false) {
+                continue;
+            }
+
+            $rows[] = [
+                'date' => $date->format('Y-m-d'),
+                'ulsp_pence' => (int) round(((float) $cols[1]) * 100),
+                'ulsd_pence' => (int) round(((float) $cols[2]) * 100),
+                'ulsp_duty_pence' => (int) round(((float) $cols[3]) * 100),
+                'ulsd_duty_pence' => (int) round(((float) $cols[4]) * 100),
+                'ulsp_vat_pct' => (int) $cols[5],
+                'ulsd_vat_pct' => (int) $cols[6],
+            ];
+        }
+
+        return $rows;
+    }
+}

app/Services/Forecasting/Contracts/ForecastFeature.php

@@ -0,0 +1,33 @@
+<?php
+
+namespace App\Services\Forecasting\Contracts;
+
+use Carbon\CarbonInterface;
+
+/**
+ * A single feature in a weekly forecast model.
+ *
+ * Implementations must be deterministic for a given target Monday and
+ * must declare every source date they read so the LeakDetector can
+ * verify no source date is on or after the target Monday.
+ */
+interface ForecastFeature
+{
+    public function name(): string;
+
+    /**
+     * Feature value at $targetMonday, or null when an upstream data
+     * row is missing. Caller is expected to drop the entire feature
+     * vector when any single feature is null.
+     */
+    public function valueFor(CarbonInterface $targetMonday): ?float;
+
+    /**
+     * Every date this feature reads from any data source for a given
+     * target Monday. The LeakDetector requires every returned date to
+     * be strictly before $targetMonday.
+     *
+     * @return array<int, CarbonInterface>
+     */
+    public function sourceDates(CarbonInterface $targetMonday): array;
+}

app/Services/Forecasting/Contracts/WeeklyForecastModel.php

@@ -0,0 +1,40 @@
+<?php
+
+namespace App\Services\Forecasting\Contracts;
+
+use App\Services\Forecasting\FeatureSpec;
+use App\Services\Forecasting\WeeklyPrediction;
+use Carbon\CarbonInterface;
+
+/**
+ * Contract every weekly forecaster must satisfy. The harness consumes
+ * this interface — naive baselines, ridge regression, and any future
+ * model all implement it.
+ */
+interface WeeklyForecastModel
+{
+    public function featureSpec(): FeatureSpec;
+
+    /**
+     * Train on the supplied weeks. Implementations may store coefficients
+     * internally for the subsequent predict() calls.
+     *
+     * @param  array<int, CarbonInterface>  $trainingMondays
+     */
+    public function train(array $trainingMondays): void;
+
+    /**
+     * Predict ΔULSP for the week starting $targetMonday. Returned value
+     * is in pence × 100 (integer-ish, but typed float for fractional
+     * predictions).
+     */
+    public function predict(CarbonInterface $targetMonday): WeeklyPrediction;
+
+    /**
+     * Coefficients in a JSON-serialisable form, or null for non-parametric
+     * models like the naive baseline.
+     *
+     * @return array<string, mixed>|null
+     */
+    public function coefficients(): ?array;
+}

app/Services/Forecasting/DutyChangeDetector.php

@@ -0,0 +1,45 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use Carbon\CarbonInterface;
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Flags forecast weeks that fall within ±4 weeks of a known UK fuel
+ * duty change. Per the spec calibration override (n=1), the displayed
+ * confidence on flagged weeks is halved and the reasoning text says so.
+ */
+final class DutyChangeDetector
+{
+    public const int FLAG_RADIUS_WEEKS = 4;
+
+    /**
+     * Returns true if the target Monday is within ±4 weeks of any
+     * change in `weekly_pump_prices.ulsp_duty_pence`.
+     */
+    public function isAdjacent(CarbonInterface $targetMonday): bool
+    {
+        $start = $targetMonday->copy()->subWeeks(self::FLAG_RADIUS_WEEKS)->toDateString();
+        $end = $targetMonday->copy()->addWeeks(self::FLAG_RADIUS_WEEKS)->toDateString();
+
+        $rows = DB::table('weekly_pump_prices')
+            ->whereBetween('date', [$start, $end])
+            ->orderBy('date')
+            ->get(['date', 'ulsp_duty_pence']);
+
+        if ($rows->count() < 2) {
+            return false;
+        }
+
+        $previous = null;
+        foreach ($rows as $r) {
+            if ($previous !== null && (int) $r->ulsp_duty_pence !== $previous) {
+                return true;
+            }
+            $previous = (int) $r->ulsp_duty_pence;
+        }
+
+        return false;
+    }
+}

app/Services/Forecasting/FeatureSpec.php

@@ -0,0 +1,54 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use InvalidArgumentException;
+
+/**
+ * Immutable list of features a model uses, plus a deterministic hash
+ * for audit linking on backtests.model_version.
+ *
+ * Two FeatureSpec instances with the same feature names + same model
+ * label produce the same hash, so retraining the same model
+ * configuration overwrites the same `backtests` row (via UNIQUE on
+ * model_version).
+ */
+final readonly class FeatureSpec
+{
+    /** @param array<int, ForecastFeature> $features */
+    public function __construct(
+        public string $modelLabel,
+        public array $features,
+    ) {
+        foreach ($features as $f) {
+            if (! $f instanceof ForecastFeature) {
+                throw new InvalidArgumentException('Every spec entry must implement ForecastFeature');
+            }
+        }
+    }
+
+    /** @return array<int, string> */
+    public function names(): array
+    {
+        return array_map(fn (ForecastFeature $f): string => $f->name(), $this->features);
+    }
+
+    public function modelVersion(): string
+    {
+        $names = $this->names();
+        sort($names);
+        $hash = substr(sha1(json_encode($names, JSON_THROW_ON_ERROR)), 0, 12);
+
+        return $this->modelLabel.'-'.$hash;
+    }
+
+    /** @return array{model_label: string, features: array<int, string>} */
+    public function toArray(): array
+    {
+        return [
+            'model_label' => $this->modelLabel,
+            'features' => $this->names(),
+        ];
+    }
+}

app/Services/Forecasting/Features/DeltaUlsdLag.php

@@ -0,0 +1,50 @@
+<?php
+
+namespace App\Services\Forecasting\Features;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use App\Services\Forecasting\WeeklyPumpPriceLoader;
+use Carbon\CarbonInterface;
+
+/**
+ * ΔULSD at lag L. Cross-fuel signal — diesel often leads/lags petrol
+ * during oil shocks. Same lag semantics as DeltaUlspLag.
+ */
+final class DeltaUlsdLag implements ForecastFeature
+{
+    public function __construct(
+        private readonly WeeklyPumpPriceLoader $loader,
+        public readonly int $lag,
+    ) {}
+
+    public function name(): string
+    {
+        return 'delta_ulsd_lag_'.$this->lag;
+    }
+
+    public function valueFor(CarbonInterface $targetMonday): ?float
+    {
+        [$newer, $older] = $this->dates($targetMonday);
+        $a = $this->loader->ulsdPence($newer->toDateString());
+        $b = $this->loader->ulsdPence($older->toDateString());
+        if ($a === null || $b === null) {
+            return null;
+        }
+
+        return (float) ($a - $b);
+    }
+
+    public function sourceDates(CarbonInterface $targetMonday): array
+    {
+        return $this->dates($targetMonday);
+    }
+
+    /** @return array{0: CarbonInterface, 1: CarbonInterface} */
+    private function dates(CarbonInterface $targetMonday): array
+    {
+        return [
+            $targetMonday->copy()->subDays(7 * ($this->lag + 1)),
+            $targetMonday->copy()->subDays(7 * ($this->lag + 2)),
+        ];
+    }
+}

app/Services/Forecasting/Features/DeltaUlspLag.php

@@ -0,0 +1,57 @@
+<?php
+
+namespace App\Services\Forecasting\Features;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use App\Services\Forecasting\WeeklyPumpPriceLoader;
+use Carbon\CarbonInterface;
+
+/**
+ * ΔULSP at lag L: the change in petrol price that ended L weeks before
+ * the most recent observation, in pence × 100.
+ *
+ * lag=0 → ULSP[t-7d] − ULSP[t-14d]   (1-week momentum)
+ * lag=1 → ULSP[t-14d] − ULSP[t-21d]  (2-week momentum)
+ * lag=3 → ULSP[t-28d] − ULSP[t-35d]  (4-week momentum)
+ *
+ * Source dates are always strictly before the target Monday — the
+ * earliest is target − 7×(lag+1), the older is target − 7×(lag+2).
+ */
+final class DeltaUlspLag implements ForecastFeature
+{
+    public function __construct(
+        private readonly WeeklyPumpPriceLoader $loader,
+        public readonly int $lag,
+    ) {}
+
+    public function name(): string
+    {
+        return 'delta_ulsp_lag_'.$this->lag;
+    }
+
+    public function valueFor(CarbonInterface $targetMonday): ?float
+    {
+        [$newer, $older] = $this->dates($targetMonday);
+        $a = $this->loader->ulspPence($newer->toDateString());
+        $b = $this->loader->ulspPence($older->toDateString());
+        if ($a === null || $b === null) {
+            return null;
+        }
+
+        return (float) ($a - $b);
+    }
+
+    public function sourceDates(CarbonInterface $targetMonday): array
+    {
+        return $this->dates($targetMonday);
+    }
+
+    /** @return array{0: CarbonInterface, 1: CarbonInterface} */
+    private function dates(CarbonInterface $targetMonday): array
+    {
+        return [
+            $targetMonday->copy()->subDays(7 * ($this->lag + 1)),
+            $targetMonday->copy()->subDays(7 * ($this->lag + 2)),
+        ];
+    }
+}

app/Services/Forecasting/Features/IsPreBankHoliday.php

@@ -0,0 +1,32 @@
+<?php
+
+namespace App\Services\Forecasting\Features;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use App\Services\Forecasting\UkBankHolidays;
+use Carbon\CarbonInterface;
+
+/**
+ * 1.0 if any UK bank holiday falls in the 7-day window starting at the
+ * target Monday; 0.0 otherwise.
+ *
+ * Captures pre-holiday demand spikes (Easter, summer, Christmas
+ * weekend). Pure calendar — no DB read, sourceDates is empty.
+ */
+final class IsPreBankHoliday implements ForecastFeature
+{
+    public function name(): string
+    {
+        return 'is_pre_bank_holiday';
+    }
+
+    public function valueFor(CarbonInterface $targetMonday): ?float
+    {
+        return UkBankHolidays::holidayWithin($targetMonday, 7) ? 1.0 : 0.0;
+    }
+
+    public function sourceDates(CarbonInterface $targetMonday): array
+    {
+        return [];
+    }
+}

app/Services/Forecasting/Features/UlspMinusMa8.php

@@ -0,0 +1,57 @@
+<?php
+
+namespace App\Services\Forecasting\Features;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use App\Services\Forecasting\WeeklyPumpPriceLoader;
+use Carbon\CarbonInterface;
+
+/**
+ * Mean-reversion term: gap between the most recent observable ULSP
+ * (target − 7d) and its 8-week trailing mean (target − 7d through
+ * target − 56d, inclusive).
+ *
+ * Empirically this is the single most useful 1-week-ahead feature for
+ * UK pump prices — pump retailers tend to revert to their recent
+ * trailing mean, especially after sudden moves.
+ */
+final class UlspMinusMa8 implements ForecastFeature
+{
+    private const int WINDOW_WEEKS = 8;
+
+    public function __construct(
+        private readonly WeeklyPumpPriceLoader $loader,
+    ) {}
+
+    public function name(): string
+    {
+        return 'ulsp_minus_ma8';
+    }
+
+    public function valueFor(CarbonInterface $targetMonday): ?float
+    {
+        $values = [];
+        foreach ($this->sourceDates($targetMonday) as $d) {
+            $v = $this->loader->ulspPence($d->toDateString());
+            if ($v === null) {
+                return null;
+            }
+            $values[] = (float) $v;
+        }
+
+        $latest = $values[0];
+        $mean = array_sum($values) / count($values);
+
+        return $latest - $mean;
+    }
+
+    public function sourceDates(CarbonInterface $targetMonday): array
+    {
+        $dates = [];
+        for ($w = 1; $w <= self::WINDOW_WEEKS; $w++) {
+            $dates[] = $targetMonday->copy()->subDays(7 * $w);
+        }
+
+        return $dates;
+    }
+}

app/Services/Forecasting/Features/WeekOfYearTrig.php

@@ -0,0 +1,43 @@
+<?php
+
+namespace App\Services\Forecasting\Features;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use Carbon\CarbonInterface;
+use InvalidArgumentException;
+
+/**
+ * Cyclic week-of-year encoding. Two instances expected, one for sin and
+ * one for cos. Together they let the linear model fit a smooth annual
+ * seasonal cycle without a 52-way one-hot expansion.
+ *
+ * This is a pure calendar feature — no DB read. sourceDates is empty,
+ * so the LeakDetector has nothing to validate against.
+ */
+final class WeekOfYearTrig implements ForecastFeature
+{
+    public function __construct(public readonly string $component)
+    {
+        if (! in_array($component, ['sin', 'cos'], true)) {
+            throw new InvalidArgumentException('component must be "sin" or "cos"');
+        }
+    }
+
+    public function name(): string
+    {
+        return 'week_of_year_'.$this->component;
+    }
+
+    public function valueFor(CarbonInterface $targetMonday): ?float
+    {
+        $week = (int) $targetMonday->format('W'); // ISO week number 1..53
+        $angle = 2.0 * M_PI * $week / 52.0;
+
+        return $this->component === 'sin' ? sin($angle) : cos($angle);
+    }
+
+    public function sourceDates(CarbonInterface $targetMonday): array
+    {
+        return [];
+    }
+}

app/Services/Forecasting/LeakDetector.php

@@ -0,0 +1,41 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use Carbon\CarbonInterface;
+
+/**
+ * Structural time-leak detector.
+ *
+ * For every (training week, feature) pair, verifies that every source
+ * date the feature reads is strictly before the target Monday. A
+ * source date on or after the target Monday is leakage and the
+ * backtest harness must refuse to run.
+ *
+ * This is the *primary* leak defence. The accuracy>75% smell test on
+ * the resulting backtest is a secondary check.
+ */
+final class LeakDetector
+{
+    /** @param array<int, CarbonInterface> $trainingMondays */
+    public function validate(FeatureSpec $spec, array $trainingMondays): LeakReport
+    {
+        $leaks = [];
+
+        foreach ($trainingMondays as $target) {
+            foreach ($spec->features as $feature) {
+                foreach ($feature->sourceDates($target) as $source) {
+                    if ($source->greaterThanOrEqualTo($target)) {
+                        $leaks[] = [
+                            'feature' => $feature->name(),
+                            'target_monday' => $target->toDateString(),
+                            'source_date' => $source->toDateString(),
+                        ];
+                    }
+                }
+            }
+        }
+
+        return new LeakReport($leaks);
+    }
+}

app/Services/Forecasting/LeakDetectorException.php

@@ -0,0 +1,19 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use RuntimeException;
+
+final class LeakDetectorException extends RuntimeException
+{
+    public function __construct(public readonly LeakReport $report)
+    {
+        $count = count($report->leaks);
+        $first = $report->leaks[0] ?? null;
+        $sample = $first === null
+            ? ''
+            : sprintf(' First: feature "%s" reads %s for target %s.', $first['feature'], $first['source_date'], $first['target_monday']);
+
+        parent::__construct(sprintf('Structural time leak detected in %d feature value(s).%s', $count, $sample));
+    }
+}

app/Services/Forecasting/LeakReport.php

@@ -0,0 +1,20 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+/**
+ * Result of a LeakDetector::validate() run.
+ *
+ * Each entry in $leaks is shape:
+ *   { feature: string, target_monday: 'Y-m-d', source_date: 'Y-m-d' }
+ */
+final readonly class LeakReport
+{
+    /** @param array<int, array{feature: string, target_monday: string, source_date: string}> $leaks */
+    public function __construct(public array $leaks) {}
+
+    public function hasLeaks(): bool
+    {
+        return $this->leaks !== [];
+    }
+}

app/Services/Forecasting/LinearAlgebra.php

@@ -0,0 +1,200 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use InvalidArgumentException;
+use RuntimeException;
+
+/**
+ * Pure-PHP linear algebra used by RidgeRegressionModel.
+ *
+ * Matrices are array<int, array<int, float>>. Vectors are array<int, float>.
+ * Sized for the v1 ridge model (435 × 8); Gauss–Jordan with partial
+ * pivoting is plenty for inverting the 8 × 8 normal-equation matrix.
+ */
+final class LinearAlgebra
+{
+    /**
+     * Transpose. m is rows × cols → result is cols × rows.
+     *
+     * @param  array<int, array<int, float>>  $m
+     * @return array<int, array<int, float>>
+     */
+    public static function transpose(array $m): array
+    {
+        $rows = count($m);
+        if ($rows === 0) {
+            return [];
+        }
+        $cols = count($m[0]);
+        $out = array_fill(0, $cols, array_fill(0, $rows, 0.0));
+        for ($i = 0; $i < $rows; $i++) {
+            for ($j = 0; $j < $cols; $j++) {
+                $out[$j][$i] = $m[$i][$j];
+            }
+        }
+
+        return $out;
+    }
+
+    /**
+     * Matrix multiply. a (r×k) * b (k×c) → r×c.
+     *
+     * @param  array<int, array<int, float>>  $a
+     * @param  array<int, array<int, float>>  $b
+     * @return array<int, array<int, float>>
+     */
+    public static function multiply(array $a, array $b): array
+    {
+        $r = count($a);
+        $k = count($a[0] ?? []);
+        $c = count($b[0] ?? []);
+        if (count($b) !== $k) {
+            throw new InvalidArgumentException('Matrix multiply dimension mismatch');
+        }
+        $out = array_fill(0, $r, array_fill(0, $c, 0.0));
+        for ($i = 0; $i < $r; $i++) {
+            for ($j = 0; $j < $c; $j++) {
+                $sum = 0.0;
+                for ($p = 0; $p < $k; $p++) {
+                    $sum += $a[$i][$p] * $b[$p][$j];
+                }
+                $out[$i][$j] = $sum;
+            }
+        }
+
+        return $out;
+    }
+
+    /**
+     * Matrix × vector. a (r×k) * v (k) → r-vector.
+     *
+     * @param  array<int, array<int, float>>  $a
+     * @param  array<int, float>  $v
+     * @return array<int, float>
+     */
+    public static function multiplyVector(array $a, array $v): array
+    {
+        $r = count($a);
+        $k = count($v);
+        if (count($a[0] ?? []) !== $k) {
+            throw new InvalidArgumentException('Matrix × vector dimension mismatch');
+        }
+        $out = array_fill(0, $r, 0.0);
+        for ($i = 0; $i < $r; $i++) {
+            $sum = 0.0;
+            for ($p = 0; $p < $k; $p++) {
+                $sum += $a[$i][$p] * $v[$p];
+            }
+            $out[$i] = $sum;
+        }
+
+        return $out;
+    }
+
+    /**
+     * Identity matrix of size n.
+     *
+     * @return array<int, array<int, float>>
+     */
+    public static function identity(int $n): array
+    {
+        $out = array_fill(0, $n, array_fill(0, $n, 0.0));
+        for ($i = 0; $i < $n; $i++) {
+            $out[$i][$i] = 1.0;
+        }
+
+        return $out;
+    }
+
+    /**
+     * Solve A x = b using Gauss–Jordan elimination with partial pivoting.
+     * A is square n×n. Returns x as an n-vector.
+     *
+     * @param  array<int, array<int, float>>  $A
+     * @param  array<int, float>  $b
+     * @return array<int, float>
+     */
+    public static function solve(array $A, array $b): array
+    {
+        $n = count($A);
+        if (count($b) !== $n) {
+            throw new InvalidArgumentException('solve: RHS dimension mismatch');
+        }
+        // Build augmented matrix.
+        $aug = [];
+        for ($i = 0; $i < $n; $i++) {
+            $aug[$i] = array_merge($A[$i], [$b[$i]]);
+        }
+
+        for ($col = 0; $col < $n; $col++) {
+            // Partial pivot: find row with largest |value| in this column.
+            $pivot = $col;
+            $best = abs($aug[$col][$col]);
+            for ($r = $col + 1; $r < $n; $r++) {
+                $v = abs($aug[$r][$col]);
+                if ($v > $best) {
+                    $best = $v;
+                    $pivot = $r;
+                }
+            }
+            if ($best < 1e-12) {
+                throw new RuntimeException('solve: matrix is singular or near-singular');
+            }
+            if ($pivot !== $col) {
+                [$aug[$col], $aug[$pivot]] = [$aug[$pivot], $aug[$col]];
+            }
+            // Normalise pivot row.
+            $div = $aug[$col][$col];
+            for ($j = 0; $j <= $n; $j++) {
+                $aug[$col][$j] /= $div;
+            }
+            // Eliminate this column from every other row.
+            for ($r = 0; $r < $n; $r++) {
+                if ($r === $col) {
+                    continue;
+                }
+                $factor = $aug[$r][$col];
+                if ($factor === 0.0) {
+                    continue;
+                }
+                for ($j = 0; $j <= $n; $j++) {
+                    $aug[$r][$j] -= $factor * $aug[$col][$j];
+                }
+            }
+        }
+
+        $x = array_fill(0, $n, 0.0);
+        for ($i = 0; $i < $n; $i++) {
+            $x[$i] = $aug[$i][$n];
+        }
+
+        return $x;
+    }
+
+    /**
+     * Ridge solve: β = (XᵀX + λI) ⁻¹ Xᵀy.
+     *
+     * λ is applied to all coefficients. Caller should standardise X and
+     * centre y before calling, then add intercept back externally — the
+     * intercept must NOT be regularised.
+     *
+     * @param  array<int, array<int, float>>  $X
+     * @param  array<int, float>  $y
+     * @return array<int, float>
+     */
+    public static function ridgeSolve(array $X, array $y, float $lambda): array
+    {
+        $Xt = self::transpose($X);
+        $XtX = self::multiply($Xt, $X);
+
+        $n = count($XtX);
+        for ($i = 0; $i < $n; $i++) {
+            $XtX[$i][$i] += $lambda;
+        }
+
+        $Xty = self::multiplyVector($Xt, $y);
+
+        return self::solve($XtX, $Xty);
+    }
+}

app/Services/Forecasting/LlmOverlayService.php

@@ -0,0 +1,658 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Models\BrentPrice;
+use App\Models\LlmOverlay;
+use App\Models\VolatilityRegime;
+use App\Services\ApiLogger;
+use Carbon\CarbonImmutable;
+use Carbon\CarbonInterface;
+use Illuminate\Http\Client\Response;
+use Illuminate\Support\Facades\DB;
+use Illuminate\Support\Facades\Http;
+use Illuminate\Support\Facades\Log;
+use Throwable;
+
+/**
+ * Layer 4 — daily news-aware overlay on the calibrated ridge forecast.
+ *
+ * Runs as two independent Anthropic API calls:
+ *   Phase 1 — web_search tool only; we capture the URLs/titles from
+ *             the returned web_search_tool_result blocks.
+ *   Phase 2 — fresh conversation containing those URLs+titles as plain
+ *             text plus a forced submit_overlay tool call.
+ *
+ * Phase 1's transcript is never sent back to Phase 2. Anthropic's
+ * web_search auto-caches the encrypted page text (~55k tokens per
+ * search) and requires it intact when web_search_tool_result blocks
+ * are resent. Threading it through to Phase 2 either blows the Tier-1
+ * 50k ITPM bucket or 400s if we try to strip it. Two clean calls keep
+ * Phase 2 around 3k input tokens.
+ *
+ * Citations are harvested directly from Phase 1's web_search_tool_result
+ * blocks — Haiku is unreliable about populating `events_cited` itself.
+ *
+ * Read-only with respect to the volatility flag — Layer 4 writes its
+ * `llm_overlays` row; Layer 5's hourly cron picks it up and decides
+ * whether to flip the regime.
+ */
+final class LlmOverlayService
+{
+    private const string URL = 'https://api.anthropic.com/v1/messages';
+
+    private const int CONFIDENCE_CAP = 75;
+
+    private const int COOLDOWN_HOURS = 4;
+
+    private const int MAX_SEARCH_TURNS = 2;
+
+    /**
+     * Approximate input-token cost of Phase 2 (system + tool schema +
+     * forecast context + harvested URL list). If Phase 1 leaves
+     * remaining ITPM below this, wait for the bucket to refill.
+     */
+    private const int SUBMIT_TOKEN_BUDGET = 4_000;
+
+    public function __construct(
+        private readonly ApiLogger $apiLogger,
+        private readonly WeeklyForecastService $weeklyForecast,
+    ) {}
+
+    /**
+     * Run an overlay generation. $eventDriven=true respects the 4-hour
+     * cooldown; the daily 07:00 cron passes false to always run.
+     */
+    public function run(bool $eventDriven = false): ?LlmOverlay
+    {
+        if ($this->apiKey() === null) {
+            Log::info('LlmOverlayService: no ANTHROPIC_API_KEY, skipping');
+
+            return null;
+        }
+
+        if ($eventDriven && $this->onCooldown()) {
+            return null;
+        }
+
+        $forecast = $this->weeklyForecast->currentForecast();
+        $context = $this->buildContext($forecast);
+
+        $callResult = $this->callAnthropic($context);
+        if ($callResult === null) {
+            return null;
+        }
+
+        $rawResult = $callResult['raw'];
+        $harvested = $callResult['harvested'];
+
+        $mergedEvents = $this->mergeEvents($rawResult['events_cited'] ?? [], $harvested);
+        $verifiedEvents = $this->verifyCitedUrls($mergedEvents);
+
+        if ($verifiedEvents === []) {
+            Log::warning('LlmOverlayService: no verified citations, rejecting overlay', [
+                'model_events' => $rawResult['events_cited'] ?? null,
+                'harvested_urls' => array_column($harvested, 'url'),
+                'direction' => $rawResult['direction'] ?? null,
+                'confidence' => $rawResult['confidence'] ?? null,
+                'reasoning_short' => $rawResult['reasoning_short'] ?? null,
+            ]);
+
+            return null;
+        }
+
+        $confidence = max(0, min(self::CONFIDENCE_CAP, (int) ($rawResult['confidence'] ?? 0)));
+        $direction = $rawResult['direction'] ?? 'flat';
+        $agreesWithRidge = $direction === $this->ridgeDirection($forecast['predicted_direction']);
+
+        return LlmOverlay::query()->create([
+            'ran_at' => now(),
+            'forecast_for_week' => $this->upcomingMondayDateString(),
+            'direction' => $direction,
+            'confidence' => $confidence,
+            'reasoning' => (string) ($rawResult['reasoning_short'] ?? ''),
+            'events_json' => $verifiedEvents,
+            'agrees_with_ridge' => $agreesWithRidge,
+            'major_impact_event' => (bool) ($rawResult['major_impact_event'] ?? false),
+            'volatility_flag_on' => VolatilityRegime::currentlyActive() !== null,
+            'search_used' => true,
+        ]);
+    }
+
+    private function onCooldown(): bool
+    {
+        $latest = LlmOverlay::query()->orderByDesc('ran_at')->first();
+
+        return $latest !== null
+            && $latest->ran_at->greaterThanOrEqualTo(now()->subHours(self::COOLDOWN_HOURS));
+    }
+
+    /** @return array<string, mixed> */
+    private function buildContext(array $forecast): array
+    {
+        $ulspWeekly = DB::table('weekly_pump_prices')
+            ->orderByDesc('date')
+            ->limit(8)
+            ->get(['date', 'ulsp_pence'])
+            ->reverse()
+            ->map(fn ($r): array => ['date' => (string) $r->date, 'ulsp_pence' => round((int) $r->ulsp_pence / 100, 1)])
+            ->values()
+            ->all();
+
+        $brentRecent = BrentPrice::query()
+            ->orderByDesc('date')
+            ->limit(14)
+            ->get(['date', 'price_usd'])
+            ->reverse()
+            ->map(fn (BrentPrice $r): array => ['date' => (string) $r->date->toDateString(), 'price_usd' => (float) $r->price_usd])
+            ->values()
+            ->all();
+
+        return [
+            'ulsp_recent_8_weeks' => $ulspWeekly,
+            'brent_recent_14_days' => $brentRecent,
+            'ridge_model_says' => [
+                'direction' => $forecast['predicted_direction'] ?? 'stable',
+                'confidence' => $forecast['confidence_score'] ?? 0,
+                'magnitude_pence' => $forecast['predicted_change_pence'] ?? 0,
+            ],
+        ];
+    }
+
+    /**
+     * Two independent API calls:
+     *
+     *   Phase 1 — runs the web_search tool, captures the assistant's
+     *             returned `web_search_tool_result` blocks, then
+     *             discards the transcript.
+     *
+     *   Phase 2 — issues a brand-new conversation with the harvested
+     *             URLs/titles flattened into a plain-text user message
+     *             and forces a `submit_overlay` tool call.
+     *
+     * Why not one stitched conversation: Anthropic auto-caches web_search
+     * results into ITPM (≈55k tokens for a 1-search call) and requires
+     * `encrypted_content` intact when those blocks are sent back.
+     * Resending the Phase 1 transcript to Phase 2 either rate-limits us
+     * (29k+ tokens twice → exceeds the Tier-1 50k ITPM bucket) or 400s
+     * if we strip the encrypted blob. A fresh Phase 2 sends ~3k tokens
+     * total — small enough to fit in the recovered bucket after a
+     * short adaptive sleep.
+     *
+     * @return array{raw: array<string, mixed>, harvested: array<int, array{url: string, title: string}>}|null
+     */
+    private function callAnthropic(array $context): ?array
+    {
+        try {
+            $phase1 = $this->runWebSearch($context);
+            if ($phase1 === null) {
+                return null;
+            }
+
+            $this->waitForRateLimitIfNeeded($phase1['response']);
+
+            $rawResult = $this->runSubmit($context, $phase1['harvested']);
+            if ($rawResult === null) {
+                return null;
+            }
+
+            return ['raw' => $rawResult, 'harvested' => $phase1['harvested']];
+        } catch (Throwable $e) {
+            Log::error('LlmOverlayService: callAnthropic failed', ['error' => $e->getMessage()]);
+
+            return null;
+        }
+    }
+
+    /**
+     * Phase 1: ask the model to search for news and capture the
+     * web_search_tool_result blocks. Returns the harvested citations
+     * and the final response (whose rate-limit headers tell us when
+     * the ITPM bucket will be replenished for Phase 2).
+     *
+     * @return array{harvested: array<int, array{url: string, title: string}>, response: Response}|null
+     */
+    private function runWebSearch(array $context): ?array
+    {
+        $messages = [['role' => 'user', 'content' => $this->searchUserMessage($context)]];
+        $response = null;
+
+        for ($i = 0; $i < self::MAX_SEARCH_TURNS; $i++) {
+            $response = $this->apiLogger->send('anthropic', 'POST', self::URL, fn () => Http::timeout(45)
+                ->withHeaders($this->headers())
+                ->post(self::URL, [
+                    'model' => $this->model(),
+                    'max_tokens' => 1024,
+                    'system' => $this->searchSystem(),
+                    'tools' => [['type' => 'web_search_20250305', 'name' => 'web_search']],
+                    'messages' => $messages,
+                ]));
+
+            if (! $response->successful()) {
+                Log::error('LlmOverlayService: search request failed', [
+                    'status' => $response->status(),
+                    'body' => substr($response->body(), 0, 500),
+                ]);
+
+                return null;
+            }
+
+            $messages[] = ['role' => 'assistant', 'content' => $response->json('content')];
+
+            if ($response->json('stop_reason') !== 'pause_turn') {
+                break;
+            }
+        }
+
+        if ($response === null) {
+            return null;
+        }
+
+        return [
+            'harvested' => $this->harvestSearchResults($messages),
+            'response' => $response,
+        ];
+    }
+
+    /**
+     * Phase 2: fresh API call — no Phase 1 transcript — with the
+     * harvested citations as plain text and a forced submit_overlay
+     * tool call.
+     *
+     * @param  array<int, array{url: string, title: string}>  $harvested
+     * @return array<string, mixed>|null
+     */
+    private function runSubmit(array $context, array $harvested): ?array
+    {
+        $response = $this->apiLogger->send('anthropic', 'POST', self::URL, fn () => Http::timeout(20)
+            ->withHeaders($this->headers())
+            ->post(self::URL, [
+                'model' => $this->model(),
+                'max_tokens' => 512,
+                'system' => $this->submitSystem(),
+                'tools' => [$this->submitOverlayTool()],
+                'tool_choice' => ['type' => 'tool', 'name' => 'submit_overlay'],
+                'messages' => [['role' => 'user', 'content' => $this->submitUserMessage($context, $harvested)]],
+            ]));
+
+        if (! $response->successful()) {
+            Log::error('LlmOverlayService: submit request failed', [
+                'status' => $response->status(),
+                'body' => substr($response->body(), 0, 500),
+            ]);
+
+            return null;
+        }
+
+        $rawResult = $this->extractToolInput($response->json('content') ?? []);
+        if ($rawResult === null) {
+            Log::warning('LlmOverlayService: submit response missing tool_use block');
+
+            return null;
+        }
+
+        return $rawResult;
+    }
+
+    /**
+     * Anthropic's web_search burns ≈55k input tokens (mostly auto-cached
+     * search results) on Phase 1. At Tier 1's 50k ITPM the bucket can
+     * be at zero immediately afterwards. Read the rate-limit headers
+     * and sleep until the bucket has refilled enough for Phase 2.
+     * Capped at 65s so the daily cron never hangs longer than a minute.
+     */
+    private function waitForRateLimitIfNeeded(Response $response): void
+    {
+        $remaining = (int) $response->header('anthropic-ratelimit-input-tokens-remaining');
+        if ($response->header('anthropic-ratelimit-input-tokens-remaining') === ''
+            || $remaining >= self::SUBMIT_TOKEN_BUDGET) {
+            return;
+        }
+
+        $resetAt = $response->header('anthropic-ratelimit-input-tokens-reset');
+        $bucketSize = (int) $response->header('anthropic-ratelimit-input-tokens-limit');
+        if ($resetAt === '' || $bucketSize <= 0) {
+            return;
+        }
+
+        try {
+            $secondsUntilFullReset = max(0, CarbonImmutable::parse($resetAt)->getTimestamp() - now()->getTimestamp());
+        } catch (Throwable) {
+            return;
+        }
+
+        // Anthropic's bucket refills linearly. We don't need to wait for
+        // the full reset — only enough for SUBMIT_TOKEN_BUDGET tokens to
+        // become available. Sleep proportionally + a small safety margin,
+        // hard-capped at 65s.
+        $tokensNeeded = self::SUBMIT_TOKEN_BUDGET - $remaining;
+        $proportional = (int) ceil(($tokensNeeded / $bucketSize) * $secondsUntilFullReset);
+        $waitSeconds = max(1, min(65, $proportional + 2));
+
+        Log::info('LlmOverlayService: waiting for ITPM bucket refill before submit', [
+            'remaining' => $remaining,
+            'wait_seconds' => $waitSeconds,
+            'full_reset_in' => $secondsUntilFullReset,
+        ]);
+
+        sleep($waitSeconds);
+    }
+
+    /**
+     * Walk every assistant turn and extract `{url, title}` from each
+     * `web_search_tool_result` block. Anthropic's web_search returns
+     * these blocks directly — they are the authoritative citation
+     * source, not anything the model transcribes back to us.
+     *
+     * @param  array<int, array<string, mixed>>  $messages
+     * @return array<int, array{url: string, title: string}>
+     */
+    private function harvestSearchResults(array $messages): array
+    {
+        $byUrl = [];
+        foreach ($messages as $message) {
+            if (($message['role'] ?? null) !== 'assistant') {
+                continue;
+            }
+            $content = $message['content'] ?? [];
+            if (! is_array($content)) {
+                continue;
+            }
+            foreach ($content as $block) {
+                if (! is_array($block) || ($block['type'] ?? null) !== 'web_search_tool_result') {
+                    continue;
+                }
+                $results = $block['content'] ?? [];
+                if (! is_array($results)) {
+                    continue;
+                }
+                foreach ($results as $result) {
+                    if (! is_array($result) || ($result['type'] ?? null) !== 'web_search_result') {
+                        continue;
+                    }
+                    $url = (string) ($result['url'] ?? '');
+                    if ($url === '' || isset($byUrl[$url])) {
+                        continue;
+                    }
+                    $byUrl[$url] = ['url' => $url, 'title' => (string) ($result['title'] ?? '')];
+                }
+            }
+        }
+
+        return array_values($byUrl);
+    }
+
+    /**
+     * Merge model-provided events_cited with citations harvested from
+     * `web_search_tool_result`. Model entries (which include `impact`
+     * tagging) take precedence on URL collision; harvested-only entries
+     * default to `impact: 'neutral'`.
+     *
+     * @param  array<int, mixed>  $modelEvents
+     * @param  array<int, array{url: string, title: string}>  $harvested
+     * @return array<int, array<string, mixed>>
+     */
+    private function mergeEvents(array $modelEvents, array $harvested): array
+    {
+        $byUrl = [];
+
+        foreach ($modelEvents as $event) {
+            if (! is_array($event)) {
+                continue;
+            }
+            $url = (string) ($event['url'] ?? '');
+            if ($url === '') {
+                continue;
+            }
+            $byUrl[$url] = [
+                'headline' => (string) ($event['headline'] ?? ''),
+                'source' => (string) ($event['source'] ?? ''),
+                'url' => $url,
+                'impact' => in_array($event['impact'] ?? null, ['rising', 'falling', 'neutral'], true)
+                    ? $event['impact']
+                    : 'neutral',
+            ];
+        }
+
+        foreach ($harvested as $result) {
+            $url = $result['url'];
+            if (isset($byUrl[$url])) {
+                continue;
+            }
+            $byUrl[$url] = [
+                'headline' => $result['title'],
+                'source' => $this->domainOf($url),
+                'url' => $url,
+                'impact' => 'neutral',
+            ];
+        }
+
+        return array_values($byUrl);
+    }
+
+    private function domainOf(string $url): string
+    {
+        $host = parse_url($url, PHP_URL_HOST);
+
+        return is_string($host) ? preg_replace('/^www\./', '', $host) : '';
+    }
+
+    private function verificationUserAgent(): string
+    {
+        $appUrl = rtrim((string) config('app.url'), '/');
+
+        return "Mozilla/5.0 (compatible; FuelPriceBot/1.0; +{$appUrl}/bot)";
+    }
+
+    /**
+     * Verify each cited URL is reachable. Major news sites (Reuters, FT,
+     * Bloomberg, BBC...) often reject HEAD with 403 / 405 even though
+     * GET works fine. So: try HEAD first, then fall back to a 1-byte
+     * GET (Range header) when HEAD fails. Both must include a
+     * browser-shaped User-Agent or Cloudflare etc. block us as a bot.
+     *
+     * Every URL — verified or rejected — is logged at INFO/WARNING so
+     * operators can debug rejections from `storage/logs/laravel.log`
+     * without needing to capture the Anthropic response body.
+     *
+     * @param  array<int, array<string, mixed>>  $events
+     * @return array<int, array<string, mixed>>
+     */
+    private function verifyCitedUrls(array $events): array
+    {
+        $verified = [];
+        foreach ($events as $event) {
+            $url = (string) ($event['url'] ?? '');
+            if ($url === '') {
+                Log::warning('LlmOverlayService: dropping cited event with empty URL', [
+                    'headline' => $event['headline'] ?? null,
+                    'source' => $event['source'] ?? null,
+                ]);
+
+                continue;
+            }
+            [$reachable, $diagnosis] = $this->urlReachable($url);
+            if ($reachable) {
+                Log::info('LlmOverlayService: URL verified', [
+                    'url' => $url,
+                    'via' => $diagnosis,
+                ]);
+                $verified[] = $event;
+            } else {
+                Log::warning('LlmOverlayService: URL rejected', [
+                    'url' => $url,
+                    'reason' => $diagnosis,
+                    'headline' => $event['headline'] ?? null,
+                    'source' => $event['source'] ?? null,
+                ]);
+            }
+        }
+
+        return $verified;
+    }
+
+    /** @return array{0: bool, 1: string} [reachable, diagnostic_string] */
+    private function urlReachable(string $url): array
+    {
+        $headers = ['User-Agent' => $this->verificationUserAgent()];
+        $headStatus = 'no-attempt';
+
+        try {
+            $head = Http::timeout(5)
+                ->withHeaders($headers)
+                ->head($url);
+            $headStatus = 'HEAD='.$head->status();
+            if ($head->successful() || $head->redirect()) {
+                return [true, $headStatus];
+            }
+        } catch (Throwable $e) {
+            $headStatus = 'HEAD=exception('.class_basename($e).')';
+        }
+
+        try {
+            $get = Http::timeout(8)
+                ->withHeaders($headers + ['Range' => 'bytes=0-0'])
+                ->get($url);
+            $getStatus = 'GET='.$get->status();
+            if ($get->successful() || $get->redirect()) {
+                return [true, $headStatus.' → '.$getStatus.' (fallback)'];
+            }
+
+            return [false, $headStatus.' → '.$getStatus];
+        } catch (Throwable $e) {
+            return [false, $headStatus.' → GET=exception('.class_basename($e).')'];
+        }
+    }
+
+    private function ridgeDirection(string $publicDirection): string
+    {
+        return match ($publicDirection) {
+            'up' => 'rising',
+            'down' => 'falling',
+            default => 'flat',
+        };
+    }
+
+    private function upcomingMondayDateString(): string
+    {
+        $today = now()->startOfDay();
+        $monday = $today->isMonday() ? $today : $today->copy()->next(CarbonInterface::MONDAY);
+
+        return $monday->toDateString();
+    }
+
+    /** @return array<string, string> */
+    private function headers(): array
+    {
+        return [
+            'x-api-key' => $this->apiKey(),
+            'anthropic-version' => '2023-06-01',
+        ];
+    }
+
+    private function apiKey(): ?string
+    {
+        return config('services.anthropic.api_key');
+    }
+
+    private function model(): string
+    {
+        return config('services.anthropic.model', 'claude-haiku-4-5-20251001');
+    }
+
+    private function searchSystem(): string
+    {
+        return <<<'PROMPT'
+            You are researching news that may affect this week's UK pump-price forecast.
+            Search recent news (last 48 hours) for:
+            - OPEC+ production decisions or unexpected announcements
+            - Geopolitical events affecting oil supply (sanctions, conflict, shipping disruption)
+            - Major refinery outages or pipeline incidents
+            - US/EU inventory reports that materially moved Brent
+            Return only the search results — you will be asked to summarise separately.
+            PROMPT;
+    }
+
+    private function searchUserMessage(array $context): string
+    {
+        $json = json_encode($context, JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES);
+
+        return "Use web_search to find oil/fuel news from the last 48 hours that could move UK pump prices this week.\n\nContext for this week:\n\n".$json;
+    }
+
+    private function submitSystem(): string
+    {
+        $cap = self::CONFIDENCE_CAP;
+
+        return <<<PROMPT
+            You are providing a news-aware directional overlay for a UK weekly pump-price forecast.
+            Decide whether to AGREE or DISAGREE with the ridge model based on the news headlines
+            provided in the user message. Cap confidence at $cap.
+            Include events_cited (with impact tags) for any specific headline that drove your
+            reasoning; you may leave events_cited empty if the news is unremarkable.
+            PROMPT;
+    }
+
+    /**
+     * @param  array<int, array{url: string, title: string}>  $harvested
+     */
+    private function submitUserMessage(array $context, array $harvested): string
+    {
+        $contextJson = json_encode($context, JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES);
+
+        if ($harvested === []) {
+            $headlines = '(none — no relevant news found)';
+        } else {
+            $headlines = collect($harvested)
+                ->map(fn (array $r): string => '- '.$r['title'].' — '.$r['url'])
+                ->implode("\n");
+        }
+
+        return "Context for this week:\n\n".$contextJson."\n\nNews headlines found:\n".$headlines."\n\nNow call submit_overlay with your decision.";
+    }
+
+    /** @return array<string, mixed> */
+    private function submitOverlayTool(): array
+    {
+        return [
+            'name' => 'submit_overlay',
+            'description' => 'Submit the news-aware overlay for the upcoming weekly forecast.',
+            'input_schema' => [
+                'type' => 'object',
+                'properties' => [
+                    'direction' => ['type' => 'string', 'enum' => ['rising', 'falling', 'flat']],
+                    'confidence' => ['type' => 'integer', 'minimum' => 0, 'maximum' => self::CONFIDENCE_CAP],
+                    'reasoning_short' => ['type' => 'string', 'description' => '1–2 sentences.'],
+                    'events_cited' => [
+                        'type' => 'array',
+                        'description' => 'Optional. Events that drove your reasoning, with directional impact. Citations are otherwise harvested from web_search_tool_result.',
+                        'items' => [
+                            'type' => 'object',
+                            'properties' => [
+                                'headline' => ['type' => 'string'],
+                                'source' => ['type' => 'string'],
+                                'url' => ['type' => 'string'],
+                                'impact' => ['type' => 'string', 'enum' => ['rising', 'falling', 'neutral']],
+                            ],
+                            'required' => ['headline', 'source', 'url', 'impact'],
+                        ],
+                    ],
+                    'agrees_with_ridge' => ['type' => 'boolean'],
+                    'major_impact_event' => ['type' => 'boolean'],
+                ],
+                'required' => ['direction', 'confidence', 'reasoning_short', 'agrees_with_ridge', 'major_impact_event'],
+            ],
+        ];
+    }
+
+    /**
+     * @param  array<int, mixed>  $content
+     * @return array<string, mixed>|null
+     */
+    private function extractToolInput(array $content): ?array
+    {
+        $block = collect($content)->firstWhere('type', 'tool_use');
+
+        return $block['input'] ?? null;
+    }
+}

app/Services/Forecasting/LocalSnapshotService.php

@@ -0,0 +1,147 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Services\HaversineQuery;
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Layer 2 — descriptive snapshot of the present.
+ *
+ * Pure SQL aggregates against `station_prices_current` + Haversine on
+ * `stations.lat / lng`. No ML, no history, no surprises. Layer 2 never
+ * speaks about the future.
+ *
+ * Used by Phase 4's WeeklyForecastService to enrich the public payload
+ * with descriptive "your area" cards alongside the headline forecast.
+ */
+final class LocalSnapshotService
+{
+    /**
+     * Snapshot for a coordinate (e.g. user's postcode-resolved lat/lng).
+     *
+     * @return array{
+     *   national_avg_pence: ?float,
+     *   local_avg_pence: ?float,
+     *   local_minus_national_pence: ?float,
+     *   cheapest_nearby: array<int, array{node_id: string, name: ?string, brand: ?string, price_pence: int, distance_km: float}>,
+     *   supermarket_avg_pence: ?float,
+     *   major_avg_pence: ?float,
+     *   supermarket_gap_pence: ?float,
+     *   stations_within_radius: int
+     * }
+     */
+    public function snapshot(string $fuelType, float $lat, float $lng, int $radiusKm = 25): array
+    {
+        $nationalAvg = $this->nationalAverage($fuelType);
+        $localAvg = $this->localAverage($fuelType, $lat, $lng, 50);
+        $cheapest = $this->cheapestNearby($fuelType, $lat, $lng, $radiusKm, 5);
+        [$superAvg, $majorAvg] = $this->brandSplit($fuelType, $lat, $lng, $radiusKm);
+        $stationCount = $this->stationCountWithin($fuelType, $lat, $lng, $radiusKm);
+
+        return [
+            'national_avg_pence' => $nationalAvg,
+            'local_avg_pence' => $localAvg,
+            'local_minus_national_pence' => $localAvg !== null && $nationalAvg !== null
+                ? round($localAvg - $nationalAvg, 1)
+                : null,
+            'cheapest_nearby' => $cheapest,
+            'supermarket_avg_pence' => $superAvg,
+            'major_avg_pence' => $majorAvg,
+            'supermarket_gap_pence' => $superAvg !== null && $majorAvg !== null
+                ? round($superAvg - $majorAvg, 1)
+                : null,
+            'stations_within_radius' => $stationCount,
+        ];
+    }
+
+    private function nationalAverage(string $fuelType): ?float
+    {
+        $avg = DB::table('station_prices_current')
+            ->where('fuel_type', $fuelType)
+            ->avg('price_pence');
+
+        return $avg === null ? null : round((float) $avg / 100, 1);
+    }
+
+    private function localAverage(string $fuelType, float $lat, float $lng, int $km): ?float
+    {
+        [$within, $bindings] = HaversineQuery::withinKm($lat, $lng, $km);
+
+        $avg = DB::table('station_prices_current')
+            ->join('stations', 'station_prices_current.station_id', '=', 'stations.node_id')
+            ->where('station_prices_current.fuel_type', $fuelType)
+            ->whereRaw($within, $bindings)
+            ->avg('station_prices_current.price_pence');
+
+        return $avg === null ? null : round((float) $avg / 100, 1);
+    }
+
+    /**
+     * @return array<int, array{node_id: string, name: ?string, brand: ?string, price_pence: int, distance_km: float}>
+     */
+    private function cheapestNearby(string $fuelType, float $lat, float $lng, int $km, int $limit): array
+    {
+        [$distance, $distanceBindings] = HaversineQuery::distanceKm($lat, $lng);
+        [$within, $withinBindings] = HaversineQuery::withinKm($lat, $lng, $km);
+
+        $rows = DB::table('station_prices_current')
+            ->join('stations', 'station_prices_current.station_id', '=', 'stations.node_id')
+            ->where('station_prices_current.fuel_type', $fuelType)
+            ->whereRaw($within, $withinBindings)
+            ->selectRaw(
+                'stations.node_id, stations.trading_name as name, stations.brand_name as brand, '
+                .'station_prices_current.price_pence, '.$distance.' as distance_km',
+                $distanceBindings,
+            )
+            ->orderBy('station_prices_current.price_pence')
+            ->limit($limit)
+            ->get();
+
+        return $rows->map(fn ($r): array => [
+            'node_id' => (string) $r->node_id,
+            'name' => $r->name === null ? null : (string) $r->name,
+            'brand' => $r->brand === null ? null : (string) $r->brand,
+            'price_pence' => (int) $r->price_pence,
+            'distance_km' => round((float) $r->distance_km, 2),
+        ])->all();
+    }
+
+    /** @return array{0: ?float, 1: ?float} [supermarket_avg, major_avg] */
+    private function brandSplit(string $fuelType, float $lat, float $lng, int $km): array
+    {
+        [$within, $bindings] = HaversineQuery::withinKm($lat, $lng, $km);
+
+        $rows = DB::table('station_prices_current')
+            ->join('stations', 'station_prices_current.station_id', '=', 'stations.node_id')
+            ->where('station_prices_current.fuel_type', $fuelType)
+            ->whereRaw($within, $bindings)
+            ->selectRaw('stations.is_supermarket, AVG(station_prices_current.price_pence) as avg_pence')
+            ->groupBy('stations.is_supermarket')
+            ->get();
+
+        $super = null;
+        $major = null;
+        foreach ($rows as $r) {
+            $avg = round((float) $r->avg_pence / 100, 1);
+            if ((int) $r->is_supermarket === 1) {
+                $super = $avg;
+            } else {
+                $major = $avg;
+            }
+        }
+
+        return [$super, $major];
+    }
+
+    private function stationCountWithin(string $fuelType, float $lat, float $lng, int $km): int
+    {
+        [$within, $bindings] = HaversineQuery::withinKm($lat, $lng, $km);
+
+        return DB::table('station_prices_current')
+            ->join('stations', 'station_prices_current.station_id', '=', 'stations.node_id')
+            ->where('station_prices_current.fuel_type', $fuelType)
+            ->whereRaw($within, $bindings)
+            ->count();
+    }
+}

app/Services/Forecasting/Models/NaiveZeroChangeModel.php

@@ -0,0 +1,39 @@
+<?php
+
+namespace App\Services\Forecasting\Models;
+
+use App\Services\Forecasting\Contracts\WeeklyForecastModel;
+use App\Services\Forecasting\FeatureSpec;
+use App\Services\Forecasting\WeeklyPrediction;
+use Carbon\CarbonInterface;
+
+/**
+ * Predicts ΔULSP[t+1] = 0 for every week. Direction = 'flat'.
+ *
+ * The floor any future model must beat. Per Alquist/Kilian, the
+ * no-change benchmark is hard to beat for short-horizon oil/fuel
+ * forecasts — if the ridge model can't beat this, the features are wrong.
+ */
+final class NaiveZeroChangeModel implements WeeklyForecastModel
+{
+    public function featureSpec(): FeatureSpec
+    {
+        return new FeatureSpec(modelLabel: 'naive-zero', features: []);
+    }
+
+    public function train(array $trainingMondays): void {}
+
+    public function predict(CarbonInterface $targetMonday): WeeklyPrediction
+    {
+        return new WeeklyPrediction(
+            targetMonday: $targetMonday,
+            magnitudePence: 0.0,
+            direction: 'flat',
+        );
+    }
+
+    public function coefficients(): ?array
+    {
+        return null;
+    }
+}

app/Services/Forecasting/Models/RidgeRegressionModel.php

@@ -0,0 +1,201 @@
+<?php
+
+namespace App\Services\Forecasting\Models;
+
+use App\Services\Forecasting\Contracts\WeeklyForecastModel;
+use App\Services\Forecasting\FeatureSpec;
+use App\Services\Forecasting\LinearAlgebra;
+use App\Services\Forecasting\WeeklyPrediction;
+use App\Services\Forecasting\WeeklyPumpPriceLoader;
+use Carbon\CarbonInterface;
+use RuntimeException;
+
+/**
+ * Ridge regression on weekly pump prices.
+ *
+ * Target: ΔULSP[t+1] = ULSP[t+1] − ULSP[t], in pence × 100.
+ *
+ * Pipeline:
+ *   - Build (X, y) from training Mondays. Skip any week where a feature
+ *     value is null OR the actual ΔULSP cannot be computed.
+ *   - Standardise X (z-score per column) and centre y. Keeps features
+ *     on comparable scales so the L2 penalty is fair.
+ *   - Solve β = (XᵀX + λI) ⁻¹ Xᵀy for the standardised problem.
+ *   - Reconstruct intercept = mean(y) (since X is centred).
+ *
+ * Prediction:
+ *   - Build feature vector at $targetMonday. If any feature returns
+ *     null, predict 0 (treated as 'flat' downstream).
+ *   - Standardise with the trained scaler, multiply by β, add intercept.
+ *
+ * Direction:
+ *   - rising  if magnitude >  FLAT_THRESHOLD_PENCE_X100
+ *   - falling if magnitude < −FLAT_THRESHOLD_PENCE_X100
+ *   - flat   otherwise
+ */
+final class RidgeRegressionModel implements WeeklyForecastModel
+{
+    private const float FLAT_THRESHOLD_PENCE_X100 = 20.0; // 0.2 p/L
+
+    /** @var array<int, float>|null Coefficients on standardised features (no intercept). */
+    private ?array $beta = null;
+
+    private ?float $intercept = null;
+
+    /** @var array<int, float>|null per-feature mean used for standardisation */
+    private ?array $featureMeans = null;
+
+    /** @var array<int, float>|null per-feature std-dev used for standardisation */
+    private ?array $featureStdDevs = null;
+
+    public function __construct(
+        private readonly FeatureSpec $spec,
+        private readonly WeeklyPumpPriceLoader $loader,
+        public readonly float $lambda = 1.0,
+    ) {}
+
+    public function featureSpec(): FeatureSpec
+    {
+        return $this->spec;
+    }
+
+    public function train(array $trainingMondays): void
+    {
+        $X = [];
+        $y = [];
+
+        foreach ($trainingMondays as $monday) {
+            $row = [];
+            $skip = false;
+            foreach ($this->spec->features as $feature) {
+                $v = $feature->valueFor($monday);
+                if ($v === null) {
+                    $skip = true;
+                    break;
+                }
+                $row[] = $v;
+            }
+            if ($skip) {
+                continue;
+            }
+
+            $actual = $this->actualDeltaPence($monday);
+            if ($actual === null) {
+                continue;
+            }
+
+            $X[] = $row;
+            $y[] = $actual;
+        }
+
+        if (count($X) < count($this->spec->features) + 2) {
+            throw new RuntimeException('RidgeRegressionModel: insufficient training rows after dropping incomplete weeks');
+        }
+
+        // Standardise X (z-score) and centre y.
+        $featureCount = count($X[0]);
+        $means = array_fill(0, $featureCount, 0.0);
+        $stds = array_fill(0, $featureCount, 0.0);
+        $n = count($X);
+
+        for ($j = 0; $j < $featureCount; $j++) {
+            $col = array_column($X, $j);
+            $means[$j] = array_sum($col) / $n;
+            $variance = 0.0;
+            foreach ($col as $v) {
+                $variance += ($v - $means[$j]) ** 2;
+            }
+            $variance /= $n;
+            $stds[$j] = sqrt($variance);
+            // Constant features get sd=1 so we don't divide by zero. Their
+            // contribution is then a constant absorbed by the intercept.
+            if ($stds[$j] < 1e-12) {
+                $stds[$j] = 1.0;
+            }
+        }
+
+        $Xstd = [];
+        foreach ($X as $row) {
+            $r = [];
+            for ($j = 0; $j < $featureCount; $j++) {
+                $r[] = ($row[$j] - $means[$j]) / $stds[$j];
+            }
+            $Xstd[] = $r;
+        }
+
+        $yMean = array_sum($y) / $n;
+        $yCentred = array_map(fn (float $v): float => $v - $yMean, $y);
+
+        $this->beta = LinearAlgebra::ridgeSolve($Xstd, $yCentred, $this->lambda);
+        $this->intercept = $yMean;
+        $this->featureMeans = $means;
+        $this->featureStdDevs = $stds;
+    }
+
+    public function predict(CarbonInterface $targetMonday): WeeklyPrediction
+    {
+        if ($this->beta === null) {
+            throw new RuntimeException('RidgeRegressionModel: predict() called before train()');
+        }
+
+        $row = [];
+        foreach ($this->spec->features as $feature) {
+            $v = $feature->valueFor($targetMonday);
+            if ($v === null) {
+                return new WeeklyPrediction($targetMonday, 0.0, 'flat');
+            }
+            $row[] = $v;
+        }
+
+        $magnitude = $this->intercept;
+        for ($j = 0, $jc = count($row); $j < $jc; $j++) {
+            $z = ($row[$j] - $this->featureMeans[$j]) / $this->featureStdDevs[$j];
+            $magnitude += $z * $this->beta[$j];
+        }
+
+        return new WeeklyPrediction($targetMonday, $magnitude, $this->classifyDirection($magnitude));
+    }
+
+    public function coefficients(): ?array
+    {
+        if ($this->beta === null) {
+            return null;
+        }
+
+        $named = [];
+        foreach ($this->spec->features as $i => $feature) {
+            $named[$feature->name()] = [
+                'beta_standardised' => $this->beta[$i],
+                'mean' => $this->featureMeans[$i],
+                'std_dev' => $this->featureStdDevs[$i],
+            ];
+        }
+
+        return [
+            'intercept' => $this->intercept,
+            'lambda' => $this->lambda,
+            'features' => $named,
+        ];
+    }
+
+    private function actualDeltaPence(CarbonInterface $targetMonday): ?float
+    {
+        $current = $this->loader->ulspPence($targetMonday->toDateString());
+        $previous = $this->loader->ulspPence($targetMonday->copy()->subDays(7)->toDateString());
+
+        if ($current === null || $previous === null) {
+            return null;
+        }
+
+        return (float) ($current - $previous);
+    }
+
+    private function classifyDirection(float $magnitude): string
+    {
+        return match (true) {
+            $magnitude > self::FLAT_THRESHOLD_PENCE_X100 => 'rising',
+            $magnitude < -self::FLAT_THRESHOLD_PENCE_X100 => 'falling',
+            default => 'flat',
+        };
+    }
+}

app/Services/Forecasting/OutcomeResolver.php

@@ -0,0 +1,87 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Models\WeeklyForecast;
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Pairs a `weekly_forecasts` row with the actual ULSP move once BEIS
+ * publishes the matching week. Writes idempotent rows to
+ * `forecast_outcomes` so trailing-13-week accuracy is honest, not
+ * inferred.
+ */
+final class OutcomeResolver
+{
+    private const float FLAT_THRESHOLD_PENCE_X100 = 20.0;
+
+    public function resolvePending(): int
+    {
+        $resolved = 0;
+
+        $existing = DB::table('forecast_outcomes')
+            ->select(['forecast_for', 'model_version'])
+            ->get()
+            ->mapWithKeys(fn ($r): array => [$r->forecast_for.'|'.$r->model_version => true])
+            ->all();
+
+        $candidates = WeeklyForecast::query()
+            ->where('forecast_for', '<=', now()->toDateString())
+            ->orderBy('forecast_for')
+            ->get();
+
+        foreach ($candidates as $forecast) {
+            $key = $forecast->forecast_for->toDateString().'|'.$forecast->model_version;
+            if (isset($existing[$key])) {
+                continue;
+            }
+
+            $actualDelta = $this->actualDeltaPence($forecast->forecast_for->toDateString());
+            if ($actualDelta === null) {
+                continue;
+            }
+
+            $actualClass = $this->classifyDirection($actualDelta);
+            $absError = (int) round(abs($forecast->magnitude_pence - $actualDelta));
+
+            DB::table('forecast_outcomes')->insert([
+                'forecast_for' => $forecast->forecast_for->toDateString(),
+                'model_version' => $forecast->model_version,
+                'predicted_class' => $forecast->direction,
+                'actual_class' => $actualClass,
+                'correct' => $forecast->direction === $actualClass,
+                'abs_error_pence' => $absError,
+                'resolved_at' => now(),
+            ]);
+
+            $resolved++;
+        }
+
+        return $resolved;
+    }
+
+    private function actualDeltaPence(string $targetDate): ?float
+    {
+        $current = DB::table('weekly_pump_prices')
+            ->where('date', $targetDate)
+            ->value('ulsp_pence');
+        $previous = DB::table('weekly_pump_prices')
+            ->where('date', date('Y-m-d', strtotime($targetDate.' -7 days')))
+            ->value('ulsp_pence');
+
+        if ($current === null || $previous === null) {
+            return null;
+        }
+
+        return (float) ($current - $previous);
+    }
+
+    private function classifyDirection(float $deltaPence): string
+    {
+        return match (true) {
+            $deltaPence > self::FLAT_THRESHOLD_PENCE_X100 => 'rising',
+            $deltaPence < -self::FLAT_THRESHOLD_PENCE_X100 => 'falling',
+            default => 'flat',
+        };
+    }
+}

app/Services/Forecasting/ReasoningGenerator.php

@@ -0,0 +1,103 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use App\Services\Forecasting\Models\RidgeRegressionModel;
+use Carbon\CarbonInterface;
+
+/**
+ * Phase 6 honesty rule: the reasoning text only references features
+ * the model actually used, ranked by how much each contributed to
+ * this week's prediction.
+ *
+ * Contribution is the standardised (z-score × β) for each feature —
+ * the same number the ridge model summed to produce the prediction.
+ * That makes the explanation literally what the model did, not a
+ * narrative invented post-hoc.
+ */
+final class ReasoningGenerator
+{
+    /** @var array<string, string> */
+    private const array PHRASES = [
+        'delta_ulsp_lag_0' => "last week's pump price move",
+        'delta_ulsp_lag_1' => 'the pump price move two weeks ago',
+        'delta_ulsp_lag_3' => 'the pump price move four weeks ago',
+        'delta_ulsd_lag_0' => "last week's diesel move",
+        'ulsp_minus_ma8' => "the gap between this week's pump price and its 8-week average",
+        'week_of_year_sin' => 'the seasonal pattern',
+        'week_of_year_cos' => 'the seasonal pattern',
+        'is_pre_bank_holiday' => 'an upcoming bank holiday',
+    ];
+
+    /**
+     * @param  array<int, ForecastFeature>  $features
+     */
+    public function generate(
+        RidgeRegressionModel $model,
+        WeeklyPrediction $prediction,
+        array $features,
+        CarbonInterface $targetMonday,
+        int $confidence,
+        bool $flaggedDutyChange,
+        ?float $trailingHitRate,
+    ): string {
+        if ($confidence < 40) {
+            return 'Not enough signal in the historical pattern to call this week — staying silent.';
+        }
+
+        $coeffs = $model->coefficients() ?? [];
+        $features_meta = $coeffs['features'] ?? [];
+
+        $contributions = [];
+        foreach ($features as $f) {
+            $name = $f->name();
+            $meta = $features_meta[$name] ?? null;
+            if ($meta === null) {
+                continue;
+            }
+            $value = $f->valueFor($targetMonday);
+            if ($value === null) {
+                continue;
+            }
+            $z = ($value - $meta['mean']) / ($meta['std_dev'] ?: 1.0);
+            $contributions[$name] = $z * $meta['beta_standardised'];
+        }
+
+        $headline = $this->headline($prediction);
+        $driver = $this->dominantFeatureSentence($contributions);
+        $duty = $flaggedDutyChange
+            ? ' Recent fuel duty change may skew accuracy for the next several weeks.'
+            : '';
+        $accuracy = $trailingHitRate !== null
+            ? sprintf(' Last 13 weeks: %d%% hit rate.', (int) round($trailingHitRate * 100))
+            : '';
+
+        return $headline.' '.$driver.$duty.$accuracy;
+    }
+
+    private function headline(WeeklyPrediction $prediction): string
+    {
+        $absP = round(abs($prediction->magnitudePence) / 100, 1);
+
+        return match ($prediction->direction) {
+            'rising' => sprintf('Model expects pump prices to rise by ~%sp/L next week.', number_format($absP, 1)),
+            'falling' => sprintf('Model expects pump prices to fall by ~%sp/L next week.', number_format($absP, 1)),
+            default => 'Pump prices are likely flat next week.',
+        };
+    }
+
+    /** @param array<string, float> $contributions */
+    private function dominantFeatureSentence(array $contributions): string
+    {
+        if ($contributions === []) {
+            return 'Drawn from the full feature set with no single dominant signal.';
+        }
+
+        uasort($contributions, fn (float $a, float $b): int => abs($b) <=> abs($a));
+        $topName = array_key_first($contributions);
+        $phrase = self::PHRASES[$topName] ?? $topName;
+
+        return sprintf('Driver: %s.', $phrase);
+    }
+}

app/Services/Forecasting/UkBankHolidays.php

@@ -0,0 +1,146 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use Carbon\Carbon;
+use Carbon\CarbonInterface;
+
+/**
+ * UK England-and-Wales bank holiday calendar.
+ *
+ * Computed deterministically from year (no external dependency, no
+ * hardcoded list to maintain).
+ *
+ * Includes the eight statutory holidays:
+ *   New Year's Day, Good Friday, Easter Monday,
+ *   Early May Bank Holiday, Spring Bank Holiday, Summer Bank Holiday,
+ *   Christmas Day, Boxing Day
+ *
+ * Substitution rules: when a fixed-date holiday falls on a weekend,
+ * it's observed on the next non-holiday weekday (cascades for
+ * Christmas+Boxing landing on Sat+Sun).
+ */
+final class UkBankHolidays
+{
+    /**
+     * Sorted list of bank holiday dates for a year, after substitution.
+     *
+     * @return array<int, Carbon>
+     */
+    public static function forYear(int $year): array
+    {
+        $dates = [];
+
+        // Easter-anchored
+        [$em, $ed] = self::easter($year);
+        $easter = Carbon::create($year, $em, $ed);
+        $dates[] = $easter->copy()->subDays(2); // Good Friday
+        $dates[] = $easter->copy()->addDay();   // Easter Monday
+
+        // Floating Mondays
+        $dates[] = self::firstMondayOf($year, 5);
+        $dates[] = self::lastMondayOf($year, 5);
+        $dates[] = self::lastMondayOf($year, 8);
+
+        // Fixed dates with substitution
+        $dates[] = self::substituteForward(Carbon::create($year, 1, 1), $dates);
+        $christmas = self::substituteForward(Carbon::create($year, 12, 25), $dates);
+        $dates[] = $christmas;
+        $boxing = self::substituteForward(Carbon::create($year, 12, 26), $dates);
+        $dates[] = $boxing;
+
+        usort($dates, fn (CarbonInterface $a, CarbonInterface $b): int => $a->getTimestamp() <=> $b->getTimestamp());
+
+        return $dates;
+    }
+
+    /**
+     * Is there a UK bank holiday in [$from, $from + $daysAhead - 1]?
+     */
+    public static function holidayWithin(CarbonInterface $from, int $daysAhead): bool
+    {
+        $end = $from->copy()->addDays($daysAhead - 1);
+        $years = array_unique([(int) $from->format('Y'), (int) $end->format('Y')]);
+
+        foreach ($years as $year) {
+            foreach (self::forYear($year) as $holiday) {
+                if ($holiday->betweenIncluded($from, $end)) {
+                    return true;
+                }
+            }
+        }
+
+        return false;
+    }
+
+    /**
+     * Anonymous Gregorian algorithm for Easter Sunday.
+     *
+     * @return array{0: int, 1: int} [month, day]
+     */
+    private static function easter(int $year): array
+    {
+        $a = $year % 19;
+        $b = intdiv($year, 100);
+        $c = $year % 100;
+        $d = intdiv($b, 4);
+        $e = $b % 4;
+        $f = intdiv($b + 8, 25);
+        $g = intdiv($b - $f + 1, 3);
+        $h = (19 * $a + $b - $d - $g + 15) % 30;
+        $i = intdiv($c, 4);
+        $k = $c % 4;
+        $l = (32 + 2 * $e + 2 * $i - $h - $k) % 7;
+        $m = intdiv($a + 11 * $h + 22 * $l, 451);
+        $month = intdiv($h + $l - 7 * $m + 114, 31);
+        $day = (($h + $l - 7 * $m + 114) % 31) + 1;
+
+        return [$month, $day];
+    }
+
+    private static function firstMondayOf(int $year, int $month): Carbon
+    {
+        $d = Carbon::create($year, $month, 1);
+        while ($d->dayOfWeek !== Carbon::MONDAY) {
+            $d->addDay();
+        }
+
+        return $d;
+    }
+
+    private static function lastMondayOf(int $year, int $month): Carbon
+    {
+        $d = Carbon::create($year, $month, 1)->endOfMonth()->startOfDay();
+        while ($d->dayOfWeek !== Carbon::MONDAY) {
+            $d->subDay();
+        }
+
+        return $d;
+    }
+
+    /**
+     * If $candidate falls on a weekend or collides with an already-claimed
+     * date, return the next non-weekend non-claimed date. Christmas/Boxing
+     * cascade is handled because we pass in the running list.
+     *
+     * @param  array<int, CarbonInterface>  $taken
+     */
+    private static function substituteForward(Carbon $candidate, array $taken): Carbon
+    {
+        $d = $candidate->copy();
+        while (true) {
+            $isWeekend = in_array($d->dayOfWeek, [Carbon::SATURDAY, Carbon::SUNDAY], true);
+            $isTaken = false;
+            foreach ($taken as $t) {
+                if ($t->isSameDay($d)) {
+                    $isTaken = true;
+                    break;
+                }
+            }
+            if (! $isWeekend && ! $isTaken) {
+                return $d;
+            }
+            $d->addDay();
+        }
+    }
+}

app/Services/Forecasting/VolatilityRegimeService.php

@@ -0,0 +1,209 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Models\BrentPrice;
+use App\Models\LlmOverlay;
+use App\Models\VolatilityRegime;
+use App\Models\WatchedEvent;
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Layer 5 — sole owner of `volatility_regimes.active`. Hourly cron.
+ *
+ * OR-combines four triggers:
+ *   1. Brent close-to-close move > 3% (FRED `DCOILBRENTEU`).
+ *   2. Most recent `llm_overlays.major_impact_event = true` AND at
+ *      least one verified URL.
+ *   3. `station_prices` daily churn > 1.5× 30-day baseline. Gated
+ *      until ≥ 180 days of polling — toggleable via config.
+ *   4. `watched_events` row covering today.
+ *
+ * When the flag flips ON, an event-driven LLM refresh is queued
+ * (Layer 4 enforces its own 4h cooldown). When OFF, the row is
+ * closed with `flipped_off_at`.
+ */
+final class VolatilityRegimeService
+{
+    private const float BRENT_MOVE_PCT = 3.0;
+
+    private const float STATION_CHURN_RATIO = 1.5;
+
+    private const int STATION_CHURN_MIN_POLLING_DAYS = 180;
+
+    public function __construct(
+        private readonly LlmOverlayService $llmOverlay,
+    ) {}
+
+    public function evaluate(): ?VolatilityRegime
+    {
+        $trigger = $this->detectTrigger();
+        $current = VolatilityRegime::currentlyActive();
+
+        if ($trigger !== null && $current === null) {
+            $row = $this->flipOn($trigger);
+            $this->llmOverlay->run(eventDriven: true);
+
+            return $row;
+        }
+
+        if ($trigger === null && $current !== null) {
+            $this->flipOff($current);
+
+            return null;
+        }
+
+        return $current;
+    }
+
+    /** @return array{type: string, detail: string}|null */
+    private function detectTrigger(): ?array
+    {
+        return $this->brentMoveTrigger()
+            ?? $this->llmEventTrigger()
+            ?? $this->stationChurnTrigger()
+            ?? $this->watchedEventTrigger();
+    }
+
+    /** @return array{type: string, detail: string}|null */
+    private function brentMoveTrigger(): ?array
+    {
+        $rows = BrentPrice::query()
+            ->orderByDesc('date')
+            ->limit(2)
+            ->get(['date', 'price_usd']);
+
+        if ($rows->count() < 2) {
+            return null;
+        }
+
+        $latest = (float) $rows[0]->price_usd;
+        $prior = (float) $rows[1]->price_usd;
+        if ($prior === 0.0) {
+            return null;
+        }
+
+        $pctMove = abs(($latest - $prior) / $prior) * 100;
+        if ($pctMove <= self::BRENT_MOVE_PCT) {
+            return null;
+        }
+
+        $direction = $latest > $prior ? '+' : '-';
+
+        return [
+            'type' => 'brent_move',
+            'detail' => sprintf('Brent %s%.2f%% (%s → %s)', $direction, $pctMove, $rows[1]->date->toDateString(), $rows[0]->date->toDateString()),
+        ];
+    }
+
+    /** @return array{type: string, detail: string}|null */
+    private function llmEventTrigger(): ?array
+    {
+        $latest = LlmOverlay::query()->orderByDesc('ran_at')->first();
+
+        if ($latest === null || ! $latest->major_impact_event) {
+            return null;
+        }
+
+        $hasVerifiedUrl = collect((array) $latest->events_json)
+            ->contains(fn ($e): bool => is_array($e) && ! empty($e['url']));
+
+        if (! $hasVerifiedUrl) {
+            return null;
+        }
+
+        $headline = collect((array) $latest->events_json)->pluck('headline')->filter()->first();
+
+        return [
+            'type' => 'llm_event',
+            'detail' => sprintf('LLM major impact: %s', $headline ?? 'unspecified'),
+        ];
+    }
+
+    /** @return array{type: string, detail: string}|null */
+    private function stationChurnTrigger(): ?array
+    {
+        if (! $this->stationChurnEnabled()) {
+            return null;
+        }
+
+        $oldest = DB::table('station_prices')->min('price_effective_at');
+        if ($oldest === null) {
+            return null;
+        }
+
+        $pollingDays = (int) abs(now()->diffInDays($oldest));
+        if ($pollingDays < self::STATION_CHURN_MIN_POLLING_DAYS) {
+            return null;
+        }
+
+        $last24h = (int) DB::table('station_prices')
+            ->where('price_effective_at', '>=', now()->subDay())
+            ->distinct('station_id')
+            ->count('station_id');
+
+        $baseline = (int) DB::table('station_prices')
+            ->where('price_effective_at', '>=', now()->subDays(30))
+            ->where('price_effective_at', '<', now()->subDay())
+            ->distinct('station_id')
+            ->count('station_id');
+
+        if ($baseline === 0) {
+            return null;
+        }
+
+        $dailyBaseline = $baseline / 29; // 29 days of history before yesterday
+        if ($last24h <= $dailyBaseline * self::STATION_CHURN_RATIO) {
+            return null;
+        }
+
+        return [
+            'type' => 'station_churn',
+            'detail' => sprintf('Station churn %d/24h vs %.1f baseline (%.2fx)', $last24h, $dailyBaseline, $last24h / $dailyBaseline),
+        ];
+    }
+
+    /** @return array{type: string, detail: string}|null */
+    private function watchedEventTrigger(): ?array
+    {
+        $row = WatchedEvent::query()
+            ->where('starts_at', '<=', now())
+            ->where('ends_at', '>=', now())
+            ->orderBy('starts_at')
+            ->first();
+
+        if ($row === null) {
+            return null;
+        }
+
+        return [
+            'type' => 'manual',
+            'detail' => sprintf('Watched event: %s', $row->label),
+        ];
+    }
+
+    private function stationChurnEnabled(): bool
+    {
+        return (bool) config('services.forecasting.station_churn_enabled', false);
+    }
+
+    /** @param  array{type: string, detail: string}  $trigger */
+    private function flipOn(array $trigger): VolatilityRegime
+    {
+        return VolatilityRegime::query()->create([
+            'flipped_on_at' => now(),
+            'flipped_off_at' => null,
+            'trigger' => $trigger['type'],
+            'trigger_detail' => $trigger['detail'],
+            'active' => true,
+        ]);
+    }
+
+    private function flipOff(VolatilityRegime $row): void
+    {
+        $row->update([
+            'flipped_off_at' => now(),
+            'active' => false,
+        ]);
+    }
+}

app/Services/Forecasting/WeeklyForecastService.php

@@ -0,0 +1,307 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use App\Models\Backtest;
+use App\Services\Forecasting\Contracts\ForecastFeature;
+use App\Services\Forecasting\Features\DeltaUlsdLag;
+use App\Services\Forecasting\Features\DeltaUlspLag;
+use App\Services\Forecasting\Features\IsPreBankHoliday;
+use App\Services\Forecasting\Features\UlspMinusMa8;
+use App\Services\Forecasting\Features\WeekOfYearTrig;
+use App\Services\Forecasting\Models\RidgeRegressionModel;
+use Carbon\Carbon;
+use Carbon\CarbonInterface;
+use Illuminate\Support\Facades\Cache;
+use Illuminate\Support\Facades\DB;
+use RuntimeException;
+
+/**
+ * Layer 1 — orchestrates the ridge model end-to-end:
+ *
+ *   1. Builds the canonical v1 feature spec (8 features).
+ *   2. Trains the ridge model on every available BEIS Monday.
+ *   3. Predicts for the upcoming Monday.
+ *   4. Looks up the latest matching backtest for calibrated confidence.
+ *   5. Returns a flat array keyed for the existing public JSON contract.
+ *
+ * Trained-model state is cached for 1 hour (key includes model_version)
+ * so repeated request hits don't retrain. A new BEIS week or a feature
+ * spec change rolls model_version, busting the cache automatically.
+ */
+final class WeeklyForecastService
+{
+    private const float DEFAULT_LAMBDA = 1.0;
+
+    public function currentForecast(): array
+    {
+        $loader = new WeeklyPumpPriceLoader;
+        $features = $this->buildFeatures($loader);
+        $spec = new FeatureSpec('ridge-v1', $features);
+
+        $cacheKey = 'forecast:current:'.$spec->modelVersion();
+
+        return Cache::remember($cacheKey, 3600, function () use ($loader, $spec, $features): array {
+            $model = new RidgeRegressionModel($spec, $loader, self::DEFAULT_LAMBDA);
+
+            try {
+                $model->train($this->collectTrainingMondays($loader));
+            } catch (RuntimeException) {
+                return $this->insufficientDataPayload($spec);
+            }
+
+            $targetMonday = $this->upcomingMonday();
+            $prediction = $model->predict($targetMonday);
+
+            $rawConfidence = $this->confidenceFromCalibration($spec, $prediction);
+            $flaggedDutyChange = (new DutyChangeDetector)->isAdjacent($targetMonday);
+            $confidence = $flaggedDutyChange ? (int) round($rawConfidence / 2) : $rawConfidence;
+
+            $directionPublic = $this->mapDirection($prediction->direction);
+            $action = $this->mapAction($directionPublic, $confidence);
+
+            $trailingHitRate = (new AccuracyHistory)->trailingHitRate($spec->modelVersion());
+
+            $reasoning = (new ReasoningGenerator)->generate(
+                $model,
+                $prediction,
+                $features,
+                $targetMonday,
+                $confidence,
+                $flaggedDutyChange,
+                $trailingHitRate,
+            );
+
+            $this->persistForecast($spec, $targetMonday, $prediction, $confidence, $flaggedDutyChange, $reasoning);
+
+            return [
+                'fuel_type' => 'e10',
+                'current_avg' => $this->nationalCurrentAverage(),
+                'predicted_direction' => $directionPublic,
+                'predicted_change_pence' => round($prediction->magnitudePence / 100, 1),
+                'confidence_score' => $confidence,
+                'confidence_label' => $this->confidenceLabel($confidence),
+                'action' => $action,
+                'reasoning' => $reasoning,
+                'prediction_horizon_days' => 7,
+                'region_key' => 'national',
+                'methodology' => 'ridge_regression_v1',
+                'model_version' => $spec->modelVersion(),
+                'flagged_duty_change' => $flaggedDutyChange,
+                'trailing_hit_rate' => $trailingHitRate,
+                'weekly_summary' => $this->weeklySummary($loader),
+                'signals' => $this->describeSignals($model, $prediction),
+            ];
+        });
+    }
+
+    /**
+     * Build the canonical v1 feature list. Centralised here so
+     * WeeklyForecastService and any retraining command share the same
+     * spec.
+     *
+     * @return array<int, ForecastFeature>
+     */
+    private function buildFeatures(WeeklyPumpPriceLoader $loader): array
+    {
+        return [
+            new DeltaUlspLag($loader, lag: 0),
+            new DeltaUlspLag($loader, lag: 1),
+            new DeltaUlspLag($loader, lag: 3),
+            new DeltaUlsdLag($loader, lag: 0),
+            new UlspMinusMa8($loader),
+            new WeekOfYearTrig('sin'),
+            new WeekOfYearTrig('cos'),
+            new IsPreBankHoliday,
+        ];
+    }
+
+    /** @return array<int, CarbonInterface> */
+    private function collectTrainingMondays(WeeklyPumpPriceLoader $loader): array
+    {
+        return array_map(fn (string $d): CarbonInterface => Carbon::parse($d), $loader->allDates());
+    }
+
+    private function upcomingMonday(): CarbonInterface
+    {
+        $today = now()->startOfDay();
+
+        return $today->isMonday() ? $today : $today->copy()->next(Carbon::MONDAY);
+    }
+
+    private function confidenceFromCalibration(FeatureSpec $spec, WeeklyPrediction $prediction): int
+    {
+        $latest = Backtest::query()
+            ->where('model_version', $spec->modelVersion())
+            ->orderByDesc('ran_at')
+            ->first();
+
+        if ($latest === null) {
+            return 0; // no backtest yet → low (gate 2 will force no_signal)
+        }
+
+        $table = (array) ($latest->calibration_table ?? []);
+        $bin = $this->bucketForMagnitude($prediction->magnitudePence);
+        $hitRate = $table[$bin] ?? null;
+
+        if ($hitRate === null) {
+            return (int) round((float) ($latest->directional_accuracy ?? 0));
+        }
+
+        return (int) round(((float) $hitRate) * 100);
+    }
+
+    private function bucketForMagnitude(float $magnitudePence): string
+    {
+        $abs = abs($magnitudePence);
+
+        return match (true) {
+            $abs < 50.0 => '0.0-0.5p',
+            $abs < 100.0 => '0.5-1.0p',
+            default => '1.0p+',
+        };
+    }
+
+    private function mapDirection(string $modelDirection): string
+    {
+        return match ($modelDirection) {
+            'rising' => 'up',
+            'falling' => 'down',
+            default => 'stable',
+        };
+    }
+
+    private function mapAction(string $publicDirection, int $confidence): string
+    {
+        if ($publicDirection === 'stable' || $confidence < 40) {
+            return 'no_signal';
+        }
+
+        return $publicDirection === 'up' ? 'fill_now' : 'wait';
+    }
+
+    private function confidenceLabel(int $confidence): string
+    {
+        return match (true) {
+            $confidence >= 70 => 'high',
+            $confidence >= 40 => 'medium',
+            default => 'low',
+        };
+    }
+
+    /**
+     * Graceful payload when the model can't train (e.g. fresh install,
+     * not enough BEIS rows yet). Honest about not-knowing — verdict is
+     * no_signal, confidence 0, reasoning explains why.
+     *
+     * @return array<string, mixed>
+     */
+    private function insufficientDataPayload(FeatureSpec $spec): array
+    {
+        return [
+            'fuel_type' => 'e10',
+            'current_avg' => $this->nationalCurrentAverage(),
+            'predicted_direction' => 'stable',
+            'predicted_change_pence' => 0.0,
+            'confidence_score' => 0,
+            'confidence_label' => 'low',
+            'action' => 'no_signal',
+            'reasoning' => 'Not enough historical BEIS data yet to train the forecast model — staying silent until the series fills in.',
+            'prediction_horizon_days' => 7,
+            'region_key' => 'national',
+            'methodology' => 'ridge_regression_v1',
+            'model_version' => $spec->modelVersion(),
+            'weekly_summary' => [
+                'latest_publication_date' => null,
+                'latest_avg_pence' => null,
+                'prior_avg_pence' => null,
+                'latest_change_pence' => null,
+            ],
+            'signals' => [],
+        ];
+    }
+
+    private function nationalCurrentAverage(): float
+    {
+        $avg = DB::table('station_prices_current')
+            ->where('fuel_type', 'e10')
+            ->avg('price_pence');
+
+        return $avg === null ? 0.0 : round((float) $avg / 100, 1);
+    }
+
+    /** @return array<string, mixed> */
+    private function weeklySummary(WeeklyPumpPriceLoader $loader): array
+    {
+        $dates = $loader->allDates();
+        $latest = end($dates) ?: null;
+        $prior = $latest === null ? null : ($dates[count($dates) - 2] ?? null);
+
+        $todayPence = $latest === null ? null : $loader->ulspPence($latest);
+        $priorPence = $prior === null ? null : $loader->ulspPence($prior);
+
+        return [
+            'latest_publication_date' => $latest,
+            'latest_avg_pence' => $todayPence === null ? null : round($todayPence / 100, 1),
+            'prior_avg_pence' => $priorPence === null ? null : round($priorPence / 100, 1),
+            'latest_change_pence' => $todayPence !== null && $priorPence !== null
+                ? round(($todayPence - $priorPence) / 100, 1)
+                : null,
+        ];
+    }
+
+    /**
+     * Backward-compat 'signals' key. Now describes which features carried
+     * the most weight in this week's prediction (z-score × β contribution).
+     *
+     * @return array<string, array<string, mixed>>
+     */
+    private function describeSignals(RidgeRegressionModel $model, WeeklyPrediction $prediction): array
+    {
+        $coeffs = $model->coefficients();
+        if ($coeffs === null) {
+            return [];
+        }
+
+        return [
+            'ridge_v1' => [
+                'enabled' => true,
+                'direction' => $prediction->direction,
+                'magnitude_pence' => round($prediction->magnitudePence / 100, 2),
+                'feature_count' => count($coeffs['features'] ?? []),
+                'lambda' => $coeffs['lambda'] ?? null,
+            ],
+        ];
+    }
+
+    /**
+     * Persist the forecast row so Phase 6's outcome resolver can pair
+     * it with the actual ULSP when the next BEIS week lands.
+     * Idempotent on (forecast_for, model_version) via UPSERT.
+     */
+    private function persistForecast(
+        FeatureSpec $spec,
+        CarbonInterface $targetMonday,
+        WeeklyPrediction $prediction,
+        int $confidence,
+        bool $flaggedDutyChange,
+        string $reasoning,
+    ): void {
+        DB::table('weekly_forecasts')->upsert(
+            [[
+                'forecast_for' => $targetMonday->toDateString(),
+                'model_version' => $spec->modelVersion(),
+                'direction' => $prediction->direction,
+                'magnitude_pence' => (int) round($prediction->magnitudePence),
+                'ridge_confidence' => max(0, min(100, $confidence)),
+                'flagged_duty_change' => $flaggedDutyChange,
+                'reasoning' => $reasoning,
+                'generated_at' => now(),
+                'created_at' => now(),
+                'updated_at' => now(),
+            ]],
+            ['forecast_for', 'model_version'],
+            ['direction', 'magnitude_pence', 'ridge_confidence', 'flagged_duty_change', 'reasoning', 'generated_at', 'updated_at'],
+        );
+    }
+}

app/Services/Forecasting/WeeklyPrediction.php

@@ -0,0 +1,20 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use Carbon\CarbonInterface;
+
+/**
+ * The output of WeeklyForecastModel::predict().
+ *
+ * direction is derived from magnitudePence vs FLAT_THRESHOLD by the
+ * model itself, so the harness never re-derives it.
+ */
+final readonly class WeeklyPrediction
+{
+    public function __construct(
+        public CarbonInterface $targetMonday,
+        public float $magnitudePence,
+        public string $direction,
+    ) {}
+}

app/Services/Forecasting/WeeklyPumpPriceLoader.php

@@ -0,0 +1,58 @@
+<?php
+
+namespace App\Services\Forecasting;
+
+use Illuminate\Support\Facades\DB;
+
+/**
+ * Loads `weekly_pump_prices` once into an in-memory map keyed by date.
+ *
+ * Used by features and the ridge model — avoids one SELECT per
+ * (week × feature) lookup. Lazy: nothing loads until first query.
+ */
+final class WeeklyPumpPriceLoader
+{
+    /** @var array<string, object{date: string, ulsp_pence: int, ulsd_pence: int}>|null */
+    private ?array $byDate = null;
+
+    public function ulspPence(string $date): ?int
+    {
+        $row = $this->byDate()[$date] ?? null;
+
+        return $row === null ? null : (int) $row->ulsp_pence;
+    }
+
+    public function ulsdPence(string $date): ?int
+    {
+        $row = $this->byDate()[$date] ?? null;
+
+        return $row === null ? null : (int) $row->ulsd_pence;
+    }
+
+    /** @return array<int, string> Sorted ascending. */
+    public function allDates(): array
+    {
+        return array_keys($this->byDate());
+    }
+
+    /** @return array<string, object{date: string, ulsp_pence: int, ulsd_pence: int}> */
+    private function byDate(): array
+    {
+        if ($this->byDate !== null) {
+            return $this->byDate;
+        }
+
+        $rows = DB::table('weekly_pump_prices')
+            ->orderBy('date')
+            ->get(['date', 'ulsp_pence', 'ulsd_pence']);
+
+        $map = [];
+        foreach ($rows as $r) {
+            $map[(string) $r->date] = $r;
+        }
+
+        $this->byDate = $map;
+
+        return $map;
+    }
+}

app/Services/FuelPriceService.php

@@ -124,7 +124,8 @@ class FuelPriceService
                 }
 
                 $logUrl = $baseUrl.'?'.http_build_query($params);
-                $response = $this->apiLogger->send('fuel_finder', 'GET', $logUrl, fn () => Http::timeout(30)
+                $response = $this->apiLogger->send('fuel_finder', 'GET', $logUrl, fn () => Http::retry(3, 1000)
+                    ->timeout(60)
                     ->withToken($token)
                     ->get($baseUrl, $params));
 

app/Services/LlmPrediction/AbstractLlmPredictionProvider.php

@@ -1,99 +0,0 @@
-<?php
-
-namespace App\Services\LlmPrediction;
-
-use App\Enums\PredictionSource;
-use App\Enums\TrendDirection;
-use App\Models\BrentPrice;
-use App\Models\PricePrediction;
-use App\Services\ApiLogger;
-use Illuminate\Support\Collection;
-use Illuminate\Support\Facades\Log;
-use Throwable;
-
-abstract class AbstractLlmPredictionProvider implements OilPredictionProvider
-{
-    protected const int LLM_MAX_CONFIDENCE = 85;
-
-    public function __construct(
-        protected readonly ApiLogger $apiLogger,
-    ) {}
-
-    /**
-     * Default flow: gate on API key, call the provider, normalise the payload
-     * to a PricePrediction. Subclasses with multi-phase flows (e.g. Anthropic
-     * web-search) override `predict()` directly and reuse the helper methods.
-     */
-    public function predict(Collection $prices): ?PricePrediction
-    {
-        $apiKey = $this->apiKey();
-
-        if ($apiKey === null) {
-            return null;
-        }
-
-        try {
-            $payload = $this->callProvider($apiKey, $this->buildPriceList($prices));
-
-            return $payload === null ? null : $this->buildPrediction($payload);
-        } catch (Throwable $e) {
-            Log::error(static::class.': predict failed', ['error' => $e->getMessage()]);
-
-            return null;
-        }
-    }
-
-    /** Returns the configured API key or null if not set. */
-    abstract protected function apiKey(): ?string;
-
-    /**
-     * Make the provider HTTP call and return the normalised payload, or null
-     * on failure (already logged by the implementer).
-     *
-     * @return array{direction: string, confidence: int, reasoning: string}|null
-     */
-    abstract protected function callProvider(string $apiKey, string $priceList): ?array;
-
-    /** @param  Collection<int, BrentPrice>  $prices */
-    protected function buildPriceList(Collection $prices): string
-    {
-        return $prices->sortBy('date')
-            ->map(fn (BrentPrice $p) => $p->date->toDateString().': $'.$p->price_usd)
-            ->implode("\n");
-    }
-
-    /** @param  array{direction: string, confidence: int, reasoning: string}  $input */
-    protected function buildPrediction(array $input, PredictionSource $source = PredictionSource::Llm): ?PricePrediction
-    {
-        $direction = TrendDirection::tryFrom($input['direction'] ?? '');
-
-        if ($direction === null) {
-            Log::error(static::class.': invalid direction', ['input' => $input]);
-
-            return null;
-        }
-
-        return new PricePrediction([
-            'predicted_for' => now()->toDateString(),
-            'source' => $source,
-            'direction' => $direction,
-            'confidence' => min((int) ($input['confidence'] ?? 0), self::LLM_MAX_CONFIDENCE),
-            'reasoning' => $input['reasoning'] ?? '',
-            'generated_at' => now(),
-        ]);
-    }
-
-    protected function defaultPrompt(string $priceList): string
-    {
-        return <<<PROMPT
-            You are analyzing Brent crude oil price data for a UK fuel price alert service.
-            Predict the short-term direction over the next 3–5 days.
-
-            Recent Brent crude prices (USD/barrel):
-            {$priceList}
-
-            Respond with direction (rising, falling, or flat), a confidence score (0–85),
-            and a one-sentence reasoning.
-            PROMPT;
-    }
-}

app/Services/LlmPrediction/AnthropicPredictionProvider.php

@@ -1,231 +0,0 @@
-<?php
-
-namespace App\Services\LlmPrediction;
-
-use App\Enums\PredictionSource;
-use App\Models\PricePrediction;
-use App\Services\Ewma;
-use Illuminate\Support\Collection;
-use Illuminate\Support\Facades\Http;
-use Illuminate\Support\Facades\Log;
-use Throwable;
-
-class AnthropicPredictionProvider extends AbstractLlmPredictionProvider
-{
-    /**
-     * Tries web-search-enriched prediction first, falls back to basic tool use.
-     * Overrides the parent flow because Anthropic uses two phases (web search
-     * loop + forced tool call) and selects the source dynamically.
-     */
-    public function predict(Collection $prices): ?PricePrediction
-    {
-        if ($this->apiKey() === null) {
-            return null;
-        }
-
-        $prediction = $this->predictWithWebContext($prices);
-
-        return $prediction ?? $this->predictBasic($prices);
-    }
-
-    protected function apiKey(): ?string
-    {
-        return config('services.anthropic.api_key');
-    }
-
-    /** {@inheritDoc} */
-    protected function callProvider(string $apiKey, string $priceList): ?array
-    {
-        return null;
-    }
-
-    /**
-     * Multi-turn web search phase, then a forced submit_prediction call.
-     * Phase 1: let the model search for recent oil/geopolitical news.
-     * Phase 2: force submit_prediction with the full conversation context.
-     */
-    private function predictWithWebContext(Collection $prices): ?PricePrediction
-    {
-        $messages = [['role' => 'user', 'content' => $this->contextPrompt($this->buildPriceList($prices))]];
-        $url = 'https://api.anthropic.com/v1/messages';
-
-        try {
-            for ($i = 0, $response = null; $i < 5; $i++) {
-                $response = $this->apiLogger->send('anthropic', 'POST', $url, fn () => Http::timeout(30)
-                    ->withHeaders($this->headers())
-                    ->post($url, [
-                        'model' => config('services.anthropic.model', 'claude-sonnet-4-6'),
-                        'max_tokens' => 1024,
-                        'tools' => [['type' => 'web_search_20250305', 'name' => 'web_search']],
-                        'messages' => $messages,
-                    ]));
-
-                if (! $response->successful()) {
-                    Log::error(self::class.': context search request failed', ['status' => $response->status()]);
-
-                    return null;
-                }
-
-                if ($response->json('stop_reason') !== 'pause_turn') {
-                    break;
-                }
-
-                $messages[] = ['role' => 'assistant', 'content' => $response->json('content')];
-            }
-
-            $messages[] = ['role' => 'assistant', 'content' => $response->json('content')];
-            $messages[] = ['role' => 'user', 'content' => 'Now submit your prediction using the submit_prediction tool.'];
-
-            $submitResponse = $this->apiLogger->send('anthropic', 'POST', $url, fn () => Http::timeout(15)
-                ->withHeaders($this->headers())
-                ->post($url, [
-                    'model' => config('services.anthropic.model', 'claude-sonnet-4-6'),
-                    'max_tokens' => 256,
-                    'tools' => [$this->submitPredictionTool()],
-                    'tool_choice' => ['type' => 'tool', 'name' => 'submit_prediction'],
-                    'messages' => $messages,
-                ]));
-
-            if (! $submitResponse->successful()) {
-                Log::error(self::class.': context submit request failed', ['status' => $submitResponse->status()]);
-
-                return null;
-            }
-
-            $input = $this->extractToolInput($submitResponse->json('content') ?? []);
-
-            return $input === null
-                ? null
-                : $this->buildPrediction($input, PredictionSource::LlmWithContext);
-        } catch (Throwable $e) {
-            Log::error(self::class.': predictWithWebContext failed', ['error' => $e->getMessage()]);
-
-            return null;
-        }
-    }
-
-    /**
-     * Single-turn prediction using a forced submit_prediction tool call.
-     * Guarantees structured output — no JSON parsing needed.
-     */
-    private function predictBasic(Collection $prices): ?PricePrediction
-    {
-        $chronological = $prices->sortBy('date');
-        $ewma3 = Ewma::compute($chronological->take(-3)->pluck('price_usd')->values()->all());
-        $ewma7 = Ewma::compute($chronological->take(-7)->pluck('price_usd')->values()->all());
-        $ewma14 = Ewma::compute($chronological->pluck('price_usd')->values()->all());
-
-        $url = 'https://api.anthropic.com/v1/messages';
-
-        try {
-            $response = $this->apiLogger->send('anthropic', 'POST', $url, fn () => Http::timeout(15)
-                ->withHeaders($this->headers())
-                ->post($url, [
-                    'model' => config('services.anthropic.model', 'claude-haiku-4-5-20251001'),
-                    'max_tokens' => 256,
-                    'tools' => [$this->submitPredictionTool()],
-                    'tool_choice' => ['type' => 'tool', 'name' => 'submit_prediction'],
-                    'messages' => [[
-                        'role' => 'user',
-                        'content' => $this->basicPrompt($this->buildPriceList($prices), $ewma3, $ewma7, $ewma14),
-                    ]],
-                ]));
-
-            if (! $response->successful()) {
-                Log::error(self::class.': basic request failed', ['status' => $response->status()]);
-
-                return null;
-            }
-
-            $input = $this->extractToolInput($response->json('content') ?? []);
-
-            return $input === null ? null : $this->buildPrediction($input);
-        } catch (Throwable $e) {
-            Log::error(self::class.': predictBasic failed', ['error' => $e->getMessage()]);
-
-            return null;
-        }
-    }
-
-    private function contextPrompt(string $priceList): string
-    {
-        return <<<PROMPT
-            You are analyzing Brent crude oil price data for a UK fuel price alert service.
-            Predict the short-term direction over the next 3–5 days.
-
-            First, search for recent news (last 48 hours) about:
-            - Brent crude oil price movements
-            - OPEC+ production decisions or announcements
-            - Major geopolitical events affecting oil supply
-            - Global demand signals (China economic data, US inventory reports)
-
-            Recent Brent crude prices (USD/barrel):
-            {$priceList}
-
-            After searching, you will be asked to submit your prediction.
-            PROMPT;
-    }
-
-    private function basicPrompt(string $priceList, float $ewma3, float $ewma7, float $ewma14): string
-    {
-        return <<<PROMPT
-            You are analyzing Brent crude oil price data for a UK fuel price alert service.
-            Predict the short-term direction over the next 3–5 days.
-
-            Recent Brent crude prices (USD/barrel):
-            {$priceList}
-
-            Pre-computed indicators:
-            - 3-day EWMA:  \${$ewma3}
-            - 7-day EWMA:  \${$ewma7}
-            - 14-day EWMA: \${$ewma14}
-
-            Use the submit_prediction tool to submit your answer.
-            PROMPT;
-    }
-
-    /** @return array<string, string> */
-    private function headers(): array
-    {
-        return [
-            'x-api-key' => $this->apiKey(),
-            'anthropic-version' => '2023-06-01',
-        ];
-    }
-
-    /** @return array{name: string, description: string, input_schema: array<string, mixed>} */
-    private function submitPredictionTool(): array
-    {
-        return [
-            'name' => 'submit_prediction',
-            'description' => 'Submit the final oil price direction prediction.',
-            'input_schema' => [
-                'type' => 'object',
-                'properties' => [
-                    'direction' => [
-                        'type' => 'string',
-                        'enum' => ['rising', 'falling', 'flat'],
-                    ],
-                    'confidence' => [
-                        'type' => 'integer',
-                        'minimum' => 0,
-                        'maximum' => self::LLM_MAX_CONFIDENCE,
-                    ],
-                    'reasoning' => [
-                        'type' => 'string',
-                        'description' => 'One sentence explaining the prediction.',
-                    ],
-                ],
-                'required' => ['direction', 'confidence', 'reasoning'],
-            ],
-        ];
-    }
-
-    /** @param  array<int, mixed>  $content */
-    private function extractToolInput(array $content): ?array
-    {
-        $block = collect($content)->firstWhere('type', 'tool_use');
-
-        return $block['input'] ?? null;
-    }
-}

app/Services/LlmPrediction/GeminiPredictionProvider.php

@@ -1,60 +0,0 @@
-<?php
-
-namespace App\Services\LlmPrediction;
-
-use Illuminate\Support\Facades\Http;
-use Illuminate\Support\Facades\Log;
-
-class GeminiPredictionProvider extends AbstractLlmPredictionProvider
-{
-    protected function apiKey(): ?string
-    {
-        return config('services.gemini.api_key');
-    }
-
-    protected function callProvider(string $apiKey, string $priceList): ?array
-    {
-        $model = config('services.gemini.model', 'gemini-2.0-flash');
-        $url = "https://generativelanguage.googleapis.com/v1beta/models/{$model}:generateContent";
-
-        $response = $this->apiLogger->send('gemini', 'POST', $url, fn () => Http::timeout(15)
-            ->withQueryParameters(['key' => $apiKey])
-            ->post($url, [
-                'contents' => [[
-                    'parts' => [['text' => $this->defaultPrompt($priceList)]],
-                ]],
-                'generationConfig' => [
-                    'responseMimeType' => 'application/json',
-                    'responseSchema' => [
-                        'type' => 'OBJECT',
-                        'properties' => [
-                            'direction' => [
-                                'type' => 'STRING',
-                                'enum' => ['rising', 'falling', 'flat'],
-                            ],
-                            'confidence' => ['type' => 'INTEGER'],
-                            'reasoning' => ['type' => 'STRING'],
-                        ],
-                        'required' => ['direction', 'confidence', 'reasoning'],
-                    ],
-                ],
-            ]));
-
-        if (! $response->successful()) {
-            Log::error(self::class.': request failed', ['status' => $response->status()]);
-
-            return null;
-        }
-
-        $text = $response->json('candidates.0.content.parts.0.text') ?? '';
-        $data = json_decode($text, true);
-
-        if (! isset($data['direction'], $data['confidence'], $data['reasoning'])) {
-            Log::error(self::class.': unexpected response format', ['text' => $text]);
-
-            return null;
-        }
-
-        return $data;
-    }
-}

app/Services/LlmPrediction/OilPredictionProvider.php

@@ -1,18 +0,0 @@
-<?php
-
-namespace App\Services\LlmPrediction;
-
-use App\Models\BrentPrice;
-use App\Models\PricePrediction;
-use Illuminate\Support\Collection;
-
-interface OilPredictionProvider
-{
-    /**
-     * Generate an oil price direction prediction from recent Brent crude prices.
-     * Returns null on failure, API key not configured, or insufficient data.
-     *
-     * @param  Collection<int, BrentPrice>  $prices  Chronological Brent crude prices
-     */
-    public function predict(Collection $prices): ?PricePrediction;
-}

app/Services/LlmPrediction/OpenAiPredictionProvider.php

@@ -1,62 +0,0 @@
-<?php
-
-namespace App\Services\LlmPrediction;
-
-use Illuminate\Support\Facades\Http;
-use Illuminate\Support\Facades\Log;
-
-class OpenAiPredictionProvider extends AbstractLlmPredictionProvider
-{
-    protected function apiKey(): ?string
-    {
-        return config('services.openai.api_key');
-    }
-
-    protected function callProvider(string $apiKey, string $priceList): ?array
-    {
-        $url = 'https://api.openai.com/v1/chat/completions';
-
-        $response = $this->apiLogger->send('openai', 'POST', $url, fn () => Http::timeout(15)
-            ->withToken($apiKey)
-            ->post($url, [
-                'model' => config('services.openai.model', 'gpt-4o-mini'),
-                'response_format' => [
-                    'type' => 'json_schema',
-                    'json_schema' => [
-                        'name' => 'oil_prediction',
-                        'strict' => true,
-                        'schema' => [
-                            'type' => 'object',
-                            'properties' => [
-                                'direction' => ['type' => 'string', 'enum' => ['rising', 'falling', 'flat']],
-                                'confidence' => ['type' => 'integer'],
-                                'reasoning' => ['type' => 'string'],
-                            ],
-                            'required' => ['direction', 'confidence', 'reasoning'],
-                            'additionalProperties' => false,
-                        ],
-                    ],
-                ],
-                'messages' => [[
-                    'role' => 'user',
-                    'content' => $this->defaultPrompt($priceList),
-                ]],
-            ]));
-
-        if (! $response->successful()) {
-            Log::error(self::class.': request failed', ['status' => $response->status()]);
-
-            return null;
-        }
-
-        $data = json_decode($response->json('choices.0.message.content') ?? '{}', true);
-
-        if (! isset($data['direction'], $data['confidence'], $data['reasoning'])) {
-            Log::error(self::class.': unexpected response format', ['data' => $data]);
-
-            return null;
-        }
-
-        return $data;
-    }
-}

app/Services/NationalFuelPredictionService.php

@@ -1,414 +0,0 @@
-<?php
-
-namespace App\Services;
-
-use App\Enums\FuelType;
-use App\Models\StationPriceCurrent;
-use App\Services\Prediction\Signals\BrandBehaviourSignal;
-use App\Services\Prediction\Signals\DayOfWeekSignal;
-use App\Services\Prediction\Signals\OilSignal;
-use App\Services\Prediction\Signals\RegionalMomentumSignal;
-use App\Services\Prediction\Signals\SignalContext;
-use App\Services\Prediction\Signals\StickinessSignal;
-use App\Services\Prediction\Signals\TrendSignal;
-use Carbon\CarbonInterface;
-use Illuminate\Support\Facades\DB;
-
-class NationalFuelPredictionService
-{
-    private const float SLOPE_THRESHOLD_PENCE = 0.3;
-
-    private const int PREDICTION_HORIZON_DAYS = 7;
-
-    public function __construct(
-        private readonly TrendSignal $trendSignal,
-        private readonly DayOfWeekSignal $dayOfWeekSignal,
-        private readonly BrandBehaviourSignal $brandBehaviourSignal,
-        private readonly StickinessSignal $stickinessSignal,
-        private readonly RegionalMomentumSignal $regionalMomentumSignal,
-        private readonly OilSignal $oilSignal,
-    ) {}
-
-    /**
-     * @return array{
-     *     fuel_type: string,
-     *     current_avg: float,
-     *     predicted_direction: string,
-     *     predicted_change_pence: float,
-     *     confidence_score: float,
-     *     confidence_label: string,
-     *     action: string,
-     *     reasoning: string,
-     *     prediction_horizon_days: int,
-     *     region_key: string,
-     *     methodology: string,
-     *     signals: array
-     * }
-     */
-    public function predict(?float $lat = null, ?float $lng = null): array
-    {
-        $fuelType = FuelType::E10;
-        $hasCoordinates = $lat !== null && $lng !== null;
-        $context = new SignalContext($fuelType, $lat, $lng);
-
-        $currentAvg = $this->getCurrentAverage($fuelType, $lat, $lng);
-        $trend = $this->trendSignal->compute($context);
-        $dayOfWeek = $this->dayOfWeekSignal->compute($context);
-        $brandBehaviour = $this->brandBehaviourSignal->compute($context);
-        $stickiness = $this->stickinessSignal->compute($context);
-        $oil = $this->oilSignal->compute($context);
-
-        $nationalMomentum = $this->disabledSignal('National momentum disabled for national predictions');
-        $regionalMomentum = $this->regionalMomentumSignal->compute($context);
-
-        $signals = compact('trend', 'dayOfWeek', 'brandBehaviour', 'nationalMomentum', 'regionalMomentum', 'stickiness', 'oil');
-
-        [$direction, $confidenceScore] = $this->aggregateSignals($signals, $hasCoordinates);
-
-        $slope = $trend['slope'] ?? 0.0;
-        $predictedChangePence = round($slope * self::PREDICTION_HORIZON_DAYS, 1);
-
-        $confidenceLabel = match (true) {
-            $confidenceScore >= 70 => 'high',
-            $confidenceScore >= 40 => 'medium',
-            default => 'low',
-        };
-
-        $action = match ($direction) {
-            'up' => 'fill_now',
-            'down' => 'wait',
-            default => 'no_signal',
-        };
-
-        $weeklySummary = $this->computeWeeklySummary($fuelType, $lat, $lng, $currentAvg, $slope);
-
-        return [
-            'fuel_type' => $fuelType->value,
-            'current_avg' => $currentAvg,
-            'predicted_direction' => $direction,
-            'predicted_change_pence' => $predictedChangePence,
-            'confidence_score' => $confidenceScore,
-            'confidence_label' => $confidenceLabel,
-            'action' => $action,
-            'reasoning' => $this->buildReasoning($direction, $slope, $trend, $brandBehaviour, $dayOfWeek),
-            'prediction_horizon_days' => self::PREDICTION_HORIZON_DAYS,
-            'region_key' => $hasCoordinates ? 'regional' : 'national',
-            'methodology' => 'multi_signal_live_fallback',
-            'weekly_summary' => $weeklySummary,
-            'signals' => [
-                'trend' => $trend,
-                'day_of_week' => $dayOfWeek,
-                'brand_behaviour' => $brandBehaviour,
-                'national_momentum' => $nationalMomentum,
-                'regional_momentum' => $regionalMomentum,
-                'price_stickiness' => $stickiness,
-                'oil' => $oil,
-            ],
-        ];
-    }
-
-    private function getCurrentAverage(FuelType $fuelType, ?float $lat, ?float $lng): float
-    {
-        if ($lat !== null && $lng !== null) {
-            [$radiusSql, $radiusBindings] = HaversineQuery::withinKm($lat, $lng, 50);
-
-            $avg = DB::table('station_prices_current')
-                ->join('stations', 'station_prices_current.station_id', '=', 'stations.node_id')
-                ->where('station_prices_current.fuel_type', $fuelType->value)
-                ->whereRaw($radiusSql, $radiusBindings)
-                ->avg('station_prices_current.price_pence');
-
-            if ($avg !== null) {
-                return round((float) $avg / 100, 1);
-            }
-        }
-
-        $avg = StationPriceCurrent::where('fuel_type', $fuelType->value)->avg('price_pence');
-
-        return $avg !== null ? round((float) $avg / 100, 1) : 0.0;
-    }
-
-    /** @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool} */
-    private function disabledSignal(string $detail): array
-    {
-        return [
-            'score' => 0.0,
-            'confidence' => 0.0,
-            'direction' => 'stable',
-            'detail' => $detail,
-            'data_points' => 0,
-            'enabled' => false,
-        ];
-    }
-
-    /**
-     * Aggregate enabled signals into a final direction + confidence score.
-     *
-     * Direction: weighted vote across signals that have a non-stable direction.
-     *   stable signals do NOT dilute the directional vote.
-     *
-     * Confidence: weighted average of enabled signals' own confidence values,
-     *   multiplied by an agreement coefficient (0..1) measuring how the signals
-     *   line up with the chosen direction.
-     *
-     * @param  array<string, array{score: float, confidence: float, direction: string, enabled: bool}>  $signals
-     * @return array{0: string, 1: float}
-     */
-    private function aggregateSignals(array $signals, bool $hasCoordinates = false): array
-    {
-        $weights = $hasCoordinates
-            ? [
-                'regionalMomentum' => 0.35,
-                'oil' => 0.20,
-                'trend' => 0.15,
-                'dayOfWeek' => 0.15,
-                'brandBehaviour' => 0.10,
-                'stickiness' => 0.05,
-            ]
-            : [
-                'trend' => 0.30,
-                'oil' => 0.25,
-                'dayOfWeek' => 0.20,
-                'brandBehaviour' => 0.15,
-                'stickiness' => 0.10,
-            ];
-
-        $directionalScoreSum = 0.0;
-        $directionalWeightSum = 0.0;
-        $confidenceWeightedSum = 0.0;
-        $totalEnabledWeight = 0.0;
-
-        foreach ($weights as $key => $weight) {
-            $signal = $signals[$key] ?? null;
-            if (! $signal || ! $signal['enabled']) {
-                continue;
-            }
-
-            $totalEnabledWeight += $weight;
-            $confidenceWeightedSum += $signal['confidence'] * $weight;
-
-            if ($signal['direction'] !== 'stable') {
-                $directionalScoreSum += $signal['score'] * $signal['confidence'] * $weight;
-                $directionalWeightSum += $weight;
-            }
-        }
-
-        if ($totalEnabledWeight < 0.01) {
-            return ['stable', 0.0];
-        }
-
-        $normalised = $directionalWeightSum > 0.01
-            ? $directionalScoreSum / $directionalWeightSum
-            : 0.0;
-
-        $direction = match (true) {
-            $normalised >= 0.1 => 'up',
-            $normalised <= -0.1 => 'down',
-            default => 'stable',
-        };
-
-        $avgConfidence = $confidenceWeightedSum / $totalEnabledWeight;
-        $agreement = $this->computeAgreement($signals, $weights, $direction);
-
-        $confidenceScore = round(min(100.0, $avgConfidence * $agreement * 100), 1);
-
-        return [$direction, $confidenceScore];
-    }
-
-    /**
-     * How well the enabled signals line up with the chosen direction.
-     *   - aligned signal: full credit (signal_confidence × weight)
-     *   - one side stable, other directional: half credit
-     *   - opposing signals: no credit
-     *
-     * Range: 0 (full disagreement) → 1 (unanimous).
-     *
-     * @param  array<string, array{confidence: float, direction: string, enabled: bool}>  $signals
-     * @param  array<string, float>  $weights
-     */
-    private function computeAgreement(array $signals, array $weights, string $finalDirection): float
-    {
-        $finalDir = match ($finalDirection) {
-            'up' => 1,
-            'down' => -1,
-            default => 0,
-        };
-
-        $credit = 0.0;
-        $maxCredit = 0.0;
-
-        foreach ($weights as $key => $weight) {
-            $signal = $signals[$key] ?? null;
-            if (! $signal || ! $signal['enabled']) {
-                continue;
-            }
-
-            $maxCredit += $signal['confidence'] * $weight;
-
-            $signalDir = match ($signal['direction']) {
-                'up' => 1,
-                'down' => -1,
-                default => 0,
-            };
-
-            if ($signalDir === $finalDir) {
-                $credit += $signal['confidence'] * $weight;
-            } elseif ($signalDir === 0 || $finalDir === 0) {
-                $credit += 0.5 * $signal['confidence'] * $weight;
-            }
-        }
-
-        return $maxCredit > 0.0 ? $credit / $maxCredit : 0.0;
-    }
-
-    /**
-     * Yesterday / today / tomorrow snapshot + last-7-days series.
-     * Regional (50km) when coordinates are given, with national fallback when
-     * regional data is empty.
-     *
-     * @return array{
-     *   yesterday_avg: ?float,
-     *   today_avg: float,
-     *   tomorrow_estimated_avg: ?float,
-     *   yesterday_today_delta_pence: ?float,
-     *   last_7_days_series: array<int, array{date: string, avg: float}>,
-     *   last_7_days_change_pence: ?float,
-     *   cheapest_day: ?array{date: string, avg: float},
-     *   priciest_day: ?array{date: string, avg: float},
-     *   is_regional: bool
-     * }
-     */
-    private function computeWeeklySummary(FuelType $fuelType, ?float $lat, ?float $lng, float $todayAvg, float $slope): array
-    {
-        $yesterdayAvg = $this->getDailyAverage($fuelType, now()->subDay(), $lat, $lng);
-        [$series, $usedRegional] = $this->getDailySeries($fuelType, 7, $lat, $lng);
-
-        $tomorrowEstimated = $todayAvg > 0.0 ? round($todayAvg + $slope, 1) : null;
-        $yesterdayTodayDelta = $yesterdayAvg !== null ? round($todayAvg - $yesterdayAvg, 1) : null;
-
-        $cheapestDay = null;
-        $priciestDay = null;
-        $weekChange = null;
-
-        if (count($series) >= 2) {
-            $byPrice = $series;
-            usort($byPrice, fn ($a, $b) => $a['avg'] <=> $b['avg']);
-            $cheapestDay = $byPrice[0];
-            $priciestDay = $byPrice[count($byPrice) - 1];
-            $weekChange = round(end($series)['avg'] - $series[0]['avg'], 1);
-        }
-
-        return [
-            'yesterday_avg' => $yesterdayAvg,
-            'today_avg' => $todayAvg,
-            'tomorrow_estimated_avg' => $tomorrowEstimated,
-            'yesterday_today_delta_pence' => $yesterdayTodayDelta,
-            'last_7_days_series' => $series,
-            'last_7_days_change_pence' => $weekChange,
-            'cheapest_day' => $cheapestDay,
-            'priciest_day' => $priciestDay,
-            'is_regional' => $usedRegional,
-        ];
-    }
-
-    private function getDailyAverage(FuelType $fuelType, CarbonInterface $date, ?float $lat, ?float $lng): ?float
-    {
-        $dateString = $date->toDateString();
-
-        if ($lat !== null && $lng !== null) {
-            [$radiusSql, $radiusBindings] = HaversineQuery::withinKm($lat, $lng, 50);
-
-            $regional = DB::table('station_prices')
-                ->join('stations', 'station_prices.station_id', '=', 'stations.node_id')
-                ->where('station_prices.fuel_type', $fuelType->value)
-                ->whereDate('station_prices.price_effective_at', $dateString)
-                ->whereRaw($radiusSql, $radiusBindings)
-                ->avg('station_prices.price_pence');
-
-            if ($regional !== null) {
-                return round((float) $regional / 100, 1);
-            }
-        }
-
-        $national = DB::table('station_prices')
-            ->where('fuel_type', $fuelType->value)
-            ->whereDate('price_effective_at', $dateString)
-            ->avg('price_pence');
-
-        return $national !== null ? round((float) $national / 100, 1) : null;
-    }
-
-    /**
-     * @return array{0: array<int, array{date: string, avg: float}>, 1: bool}
-     */
-    private function getDailySeries(FuelType $fuelType, int $days, ?float $lat, ?float $lng): array
-    {
-        $rows = collect();
-        $usedRegional = false;
-
-        if ($lat !== null && $lng !== null) {
-            [$radiusSql, $radiusBindings] = HaversineQuery::withinKm($lat, $lng, 50);
-
-            $rows = DB::table('station_prices')
-                ->join('stations', 'station_prices.station_id', '=', 'stations.node_id')
-                ->where('station_prices.fuel_type', $fuelType->value)
-                ->where('station_prices.price_effective_at', '>=', now()->subDays($days)->startOfDay())
-                ->whereRaw($radiusSql, $radiusBindings)
-                ->selectRaw('DATE(station_prices.price_effective_at) as day, AVG(station_prices.price_pence) as avg_price')
-                ->groupBy('day')
-                ->orderBy('day')
-                ->get();
-
-            $usedRegional = $rows->isNotEmpty();
-        }
-
-        if ($rows->isEmpty()) {
-            $rows = DB::table('station_prices')
-                ->where('fuel_type', $fuelType->value)
-                ->where('price_effective_at', '>=', now()->subDays($days)->startOfDay())
-                ->selectRaw('DATE(price_effective_at) as day, AVG(price_pence) as avg_price')
-                ->groupBy('day')
-                ->orderBy('day')
-                ->get();
-        }
-
-        $series = $rows->map(fn ($r): array => [
-            'date' => (string) $r->day,
-            'avg' => round((float) $r->avg_price / 100, 1),
-        ])->values()->all();
-
-        return [$series, $usedRegional];
-    }
-
-    /**
-     * @param  array{enabled: bool, detail: string, direction: string}  $trend
-     * @param  array{enabled: bool, detail: string, direction: string}  $brandBehaviour
-     * @param  array{enabled: bool, detail: string, direction: string}  $dayOfWeek
-     */
-    private function buildReasoning(string $direction, float $slope, array $trend, array $brandBehaviour, array $dayOfWeek): string
-    {
-        $parts = [];
-
-        if ($trend['enabled'] && abs($slope) >= self::SLOPE_THRESHOLD_PENCE) {
-            $parts[] = $trend['detail'];
-        }
-
-        if ($brandBehaviour['enabled'] && $brandBehaviour['direction'] !== 'stable') {
-            $parts[] = $brandBehaviour['detail'];
-        }
-
-        if ($dayOfWeek['enabled']) {
-            $parts[] = $dayOfWeek['detail'];
-        }
-
-        if (empty($parts)) {
-            return match ($direction) {
-                'up' => 'Mild upward signals — top up soon if you\'re nearby.',
-                'down' => 'Mild downward signals — wait a day or two if your tank can hold.',
-                default => 'No clear pattern — fill up at the cheapest station near you now.',
-            };
-        }
-
-        return implode(' ', $parts);
-    }
-}

app/Services/Prediction/Signals/AbstractSignal.php

@@ -1,61 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-abstract class AbstractSignal implements Signal
-{
-    /** @return array{score: 0.0, confidence: 0.0, direction: 'stable', detail: string, data_points: 0, enabled: false} */
-    protected function disabledSignal(string $detail): array
-    {
-        return [
-            'score' => 0.0,
-            'confidence' => 0.0,
-            'direction' => 'stable',
-            'detail' => $detail,
-            'data_points' => 0,
-            'enabled' => false,
-        ];
-    }
-
-    /**
-     * Least-squares linear regression. x = array index, y = value.
-     *
-     * @param  float[]  $values
-     * @return array{slope: float, r_squared: float}
-     */
-    protected function linearRegression(array $values): array
-    {
-        $n = count($values);
-
-        if ($n < 2) {
-            return ['slope' => 0.0, 'r_squared' => 0.0];
-        }
-
-        $xMean = ($n - 1) / 2.0;
-        $yMean = array_sum($values) / $n;
-
-        $numerator = 0.0;
-        $denominator = 0.0;
-
-        foreach ($values as $i => $y) {
-            $x = $i - $xMean;
-            $numerator += $x * ($y - $yMean);
-            $denominator += $x * $x;
-        }
-
-        $slope = $denominator > 0.0 ? $numerator / $denominator : 0.0;
-
-        $ssRes = 0.0;
-        $ssTot = 0.0;
-
-        foreach ($values as $i => $y) {
-            $predicted = $yMean + $slope * ($i - $xMean);
-            $ssRes += ($y - $predicted) ** 2;
-            $ssTot += ($y - $yMean) ** 2;
-        }
-
-        $rSquared = $ssTot > 0.0 ? max(0.0, 1.0 - ($ssRes / $ssTot)) : 0.0;
-
-        return ['slope' => $slope, 'r_squared' => $rSquared];
-    }
-}

app/Services/Prediction/Signals/BrandBehaviourSignal.php

@@ -1,61 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use Illuminate\Support\Facades\DB;
-
-final class BrandBehaviourSignal extends AbstractSignal
-{
-    public function compute(SignalContext $context): array
-    {
-        $rows = DB::table('station_prices')
-            ->join('stations', 'station_prices.station_id', '=', 'stations.node_id')
-            ->where('station_prices.fuel_type', $context->fuelType->value)
-            ->where('station_prices.price_effective_at', '>=', now()->subDays(7))
-            ->selectRaw('stations.is_supermarket, DATE(station_prices.price_effective_at) as day, AVG(station_prices.price_pence) as avg_price')
-            ->groupBy('stations.is_supermarket', 'day')
-            ->orderBy('day')
-            ->get();
-
-        $supermarket = $rows->where('is_supermarket', 1)->values();
-        $major = $rows->where('is_supermarket', 0)->values();
-
-        if ($supermarket->count() < 2 || $major->count() < 2) {
-            return $this->disabledSignal('Insufficient brand data for comparison');
-        }
-
-        $supermarketSlope = $this->linearRegression($supermarket->pluck('avg_price')->map(fn ($v) => (float) $v / 100)->values()->all())['slope'];
-        $majorSlope = $this->linearRegression($major->pluck('avg_price')->map(fn ($v) => (float) $v / 100)->values()->all())['slope'];
-
-        $divergence = round(abs($supermarketSlope - $majorSlope) * 7, 1);
-        $supermarketChange = round($supermarketSlope * 7, 1);
-        $majorChange = round($majorSlope * 7, 1);
-
-        if ($divergence < 1.0) {
-            return [
-                'score' => 0.0,
-                'confidence' => 0.5,
-                'direction' => 'stable',
-                'detail' => 'Supermarkets and majors moving in sync.',
-                'data_points' => $rows->count(),
-                'enabled' => true,
-            ];
-        }
-
-        $leaderChange = abs($supermarketChange) > abs($majorChange) ? $supermarketChange : $majorChange;
-        $direction = $leaderChange > 0 ? 'up' : 'down';
-        $leader = abs($supermarketChange) > abs($majorChange) ? 'Supermarkets' : 'Majors';
-        $follower = $leader === 'Supermarkets' ? 'majors' : 'supermarkets';
-        $leaderAbs = abs($leaderChange);
-        $followerChange = $leader === 'Supermarkets' ? abs($majorChange) : abs($supermarketChange);
-
-        return [
-            'score' => $direction === 'up' ? 1.0 : -1.0,
-            'confidence' => min(1.0, $divergence / 5.0),
-            'direction' => $direction,
-            'detail' => "{$leader} ".($leaderChange > 0 ? 'rose' : 'fell')." {$leaderAbs}p vs {$follower} {$followerChange}p (divergence: {$divergence}p). Expect {$follower} to follow.",
-            'data_points' => $rows->count(),
-            'enabled' => true,
-        ];
-    }
-}

app/Services/Prediction/Signals/DayOfWeekSignal.php

@@ -1,80 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use Illuminate\Support\Facades\DB;
-
-final class DayOfWeekSignal extends AbstractSignal
-{
-    private const int MIN_DAYS = 21;
-
-    public function compute(SignalContext $context): array
-    {
-        $dowExpr = DbDialect::dayOfWeekExpr('price_effective_at');
-
-        $rows = DB::table('station_prices')
-            ->where('fuel_type', $context->fuelType->value)
-            ->where('price_effective_at', '>=', now()->subDays(90))
-            ->selectRaw("{$dowExpr} as dow, DATE(price_effective_at) as day, AVG(price_pence) as avg_price")
-            ->groupBy('dow', 'day')
-            ->get();
-
-        $uniqueDays = $rows->pluck('day')->unique()->count();
-
-        if ($uniqueDays < self::MIN_DAYS) {
-            return $this->disabledSignal("Insufficient history for day-of-week pattern ({$uniqueDays} days, need ".self::MIN_DAYS.')');
-        }
-
-        $dowAverages = $rows->groupBy('dow')->map(fn ($g) => $g->avg('avg_price'));
-        $weekAvg = $dowAverages->avg();
-        $todayDow = (int) now()->format('w') + 1; // PHP 0=Sun → MySQL 1=Sun
-        $todayAvg = $dowAverages->get($todayDow, $weekAvg);
-        $cheapestDow = $dowAverages->keys()->sortBy(fn ($k) => $dowAverages[$k])->first();
-        $dayNames = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'];
-        $todayName = $dayNames[($todayDow - 1) % 7] ?? 'Today';
-        $tomorrowName = $dayNames[$todayDow % 7] ?? 'Tomorrow';
-
-        $todayDeltaPence = round(($todayAvg - $weekAvg) / 100, 1);
-        $tomorrowDeltaPence = round(($dowAverages->get(($todayDow % 7) + 1, $weekAvg) - $todayAvg) / 100, 1);
-
-        $direction = match (true) {
-            ($todayAvg - $weekAvg) / 100 >= 1.5 => 'up',
-            ($weekAvg - $todayAvg) / 100 >= 1.5 => 'down',
-            default => 'stable',
-        };
-
-        $score = $direction === 'stable' ? 0.0 : ($direction === 'up' ? 1.0 : -1.0);
-
-        $parts = [];
-        $parts[] = abs($todayDeltaPence) < 0.1
-            ? "Today ({$todayName}) is typically in line with the weekly average."
-            : sprintf(
-                'Today (%s) is typically %sp %s the weekly average.',
-                $todayName,
-                number_format(abs($todayDeltaPence), 1),
-                $todayDeltaPence > 0 ? 'above' : 'below',
-            );
-
-        $parts[] = abs($tomorrowDeltaPence) < 0.1
-            ? "Tomorrow ({$tomorrowName}) is typically the same."
-            : sprintf(
-                'Tomorrow (%s) is typically %sp %s.',
-                $tomorrowName,
-                number_format(abs($tomorrowDeltaPence), 1),
-                $tomorrowDeltaPence < 0 ? 'cheaper' : 'pricier',
-            );
-
-        if ($cheapestDow === $todayDow) {
-            $parts[] = 'Today is historically the cheapest day of the week.';
-        }
-
-        return [
-            'score' => $score,
-            'confidence' => min(1.0, $uniqueDays / 90),
-            'direction' => $direction,
-            'detail' => implode(' ', $parts),
-            'data_points' => $uniqueDays,
-            'enabled' => true,
-        ];
-    }
-}

app/Services/Prediction/Signals/DbDialect.php

@@ -1,40 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use Illuminate\Support\Facades\DB;
-
-/**
- * SQL dialect helpers for the small set of MySQL/SQLite differences the
- * signal classes care about. Centralises the isSqlite ternaries that were
- * duplicated across DayOfWeekSignal and StickinessSignal.
- */
-final class DbDialect
-{
-    private static function isSqlite(): bool
-    {
-        return DB::connection()->getDriverName() === 'sqlite';
-    }
-
-    /**
-     * Day-of-week expression returning 1=Sun..7=Sat (MySQL DAYOFWEEK convention).
-     * Targets a column on the queried table.
-     */
-    public static function dayOfWeekExpr(string $column): string
-    {
-        return self::isSqlite()
-            ? "(CAST(strftime('%w', {$column}) AS INTEGER) + 1)"
-            : "DAYOFWEEK({$column})";
-    }
-
-    /**
-     * Whole-day difference between MAX and MIN of a datetime column, suitable
-     * for use in an aggregate selectRaw.
-     */
-    public static function maxMinDayDiffExpr(string $column): string
-    {
-        return self::isSqlite()
-            ? "CAST((julianday(MAX({$column})) - julianday(MIN({$column}))) AS INTEGER)"
-            : "DATEDIFF(MAX({$column}), MIN({$column}))";
-    }
-}

app/Services/Prediction/Signals/OilSignal.php

@@ -1,63 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use Illuminate\Support\Facades\DB;
-
-final class OilSignal extends AbstractSignal
-{
-    /**
-     * Reads the most recent Brent crude prediction (LLM preferred, EWMA
-     * fallback) covering today or later. Sourced from price_predictions,
-     * which OilPriceService populates daily.
-     */
-    public function compute(SignalContext $context): array
-    {
-        $prediction = null;
-
-        foreach (['llm_with_context', 'llm', 'ewma'] as $source) {
-            $prediction = DB::table('price_predictions')
-                ->where('source', $source)
-                ->where('predicted_for', '>=', now()->toDateString())
-                ->orderByDesc('predicted_for')
-                ->orderByDesc('generated_at')
-                ->first();
-
-            if ($prediction !== null) {
-                break;
-            }
-        }
-
-        if ($prediction === null) {
-            return $this->disabledSignal('No oil price prediction available');
-        }
-
-        $direction = match ($prediction->direction) {
-            'rising' => 'up',
-            'falling' => 'down',
-            default => 'stable',
-        };
-
-        $score = match ($direction) {
-            'up' => 1.0,
-            'down' => -1.0,
-            default => 0.0,
-        };
-
-        $confidence = round(((float) $prediction->confidence) / 100, 2);
-
-        return [
-            'score' => $score,
-            'confidence' => $confidence,
-            'direction' => $direction,
-            'detail' => sprintf(
-                'Brent crude %s (%s, %d%% confidence)',
-                $prediction->direction,
-                $prediction->source,
-                (int) $prediction->confidence,
-            ),
-            'data_points' => 1,
-            'enabled' => true,
-        ];
-    }
-}

app/Services/Prediction/Signals/RegionalMomentumSignal.php

@@ -1,52 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use App\Services\HaversineQuery;
-use Illuminate\Support\Facades\DB;
-
-final class RegionalMomentumSignal extends AbstractSignal
-{
-    private const float SLOPE_THRESHOLD_PENCE = 0.3;
-
-    private const float REGIONAL_RADIUS_KM = 50.0;
-
-    public function compute(SignalContext $context): array
-    {
-        if (! $context->hasCoordinates()) {
-            return $this->disabledSignal('No coordinates provided for regional momentum analysis');
-        }
-
-        [$radiusSql, $radiusBindings] = HaversineQuery::withinKm($context->lat, $context->lng, self::REGIONAL_RADIUS_KM);
-
-        $rows = DB::table('station_prices')
-            ->join('stations', 'station_prices.station_id', '=', 'stations.node_id')
-            ->where('station_prices.fuel_type', $context->fuelType->value)
-            ->where('station_prices.price_effective_at', '>=', now()->subDays(14))
-            ->whereRaw($radiusSql, $radiusBindings)
-            ->selectRaw('DATE(station_prices.price_effective_at) as day, AVG(station_prices.price_pence) as avg_price')
-            ->groupBy('day')
-            ->orderBy('day')
-            ->get();
-
-        if ($rows->count() < 3) {
-            return $this->disabledSignal('Insufficient regional data');
-        }
-
-        $regression = $this->linearRegression($rows->pluck('avg_price')->map(fn ($v) => (float) $v / 100)->values()->all());
-        $direction = match (true) {
-            $regression['slope'] >= self::SLOPE_THRESHOLD_PENCE => 'up',
-            $regression['slope'] <= -self::SLOPE_THRESHOLD_PENCE => 'down',
-            default => 'stable',
-        };
-
-        return [
-            'score' => $direction === 'stable' ? 0.0 : ($direction === 'up' ? 0.7 : -0.7),
-            'confidence' => min(1.0, $regression['r_squared']),
-            'direction' => $direction,
-            'detail' => 'Regional trend: '.round($regression['slope'], 2).'p/day (R²='.round($regression['r_squared'], 2).')',
-            'data_points' => $rows->count(),
-            'enabled' => true,
-        ];
-    }
-}

app/Services/Prediction/Signals/Signal.php

@@ -1,24 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-interface Signal
-{
-    /**
-     * Evaluate the signal against the given context.
-     *
-     * Returns the canonical signal payload. Implementations may add extra
-     * keys beyond the base shape (e.g. trend adds slope + r_squared).
-     *
-     * @return array{
-     *     score: float,
-     *     confidence: float,
-     *     direction: string,
-     *     detail: string,
-     *     data_points: int,
-     *     enabled: bool,
-     *     ...
-     * }
-     */
-    public function compute(SignalContext $context): array;
-}

app/Services/Prediction/Signals/SignalContext.php

@@ -1,24 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use App\Enums\FuelType;
-
-/**
- * Inputs required to evaluate a prediction signal. Individual signals may
- * ignore fields they don't need — for example OilSignal doesn't use fuelType,
- * RegionalMomentumSignal requires lat/lng to be non-null.
- */
-final readonly class SignalContext
-{
-    public function __construct(
-        public FuelType $fuelType,
-        public ?float $lat = null,
-        public ?float $lng = null,
-    ) {}
-
-    public function hasCoordinates(): bool
-    {
-        return $this->lat !== null && $this->lng !== null;
-    }
-}

app/Services/Prediction/Signals/StickinessSignal.php

@@ -1,50 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use Illuminate\Support\Facades\DB;
-
-final class StickinessSignal extends AbstractSignal
-{
-    public function compute(SignalContext $context): array
-    {
-        $diffExpr = DbDialect::maxMinDayDiffExpr('price_effective_at');
-
-        $rows = DB::table('station_prices')
-            ->where('fuel_type', $context->fuelType->value)
-            ->where('price_effective_at', '>=', now()->subDays(30))
-            ->selectRaw("station_id, COUNT(*) as changes, {$diffExpr} as span_days")
-            ->groupBy('station_id')
-            ->having('changes', '>', 1)
-            ->having('span_days', '>', 0)
-            ->get();
-
-        if ($rows->count() < 10) {
-            return $this->disabledSignal('Insufficient stickiness data (need 10+ stations with price history)');
-        }
-
-        $avgHoldDays = $rows->avg(fn ($r) => $r->span_days / ($r->changes - 1));
-        $avgHoldDays = round((float) $avgHoldDays, 1);
-
-        $score = match (true) {
-            $avgHoldDays < 2 => -0.1,
-            $avgHoldDays > 5 => 0.1,
-            default => 0.0,
-        };
-
-        $detail = match (true) {
-            $avgHoldDays < 2 => "Volatile prices (avg hold: {$avgHoldDays} days) — harder to predict.",
-            $avgHoldDays > 5 => "Sticky prices (avg hold: {$avgHoldDays} days) — more predictable.",
-            default => "Normal hold period (avg: {$avgHoldDays} days).",
-        };
-
-        return [
-            'score' => $score,
-            'confidence' => min(1.0, $rows->count() / 200),
-            'direction' => 'stable',
-            'detail' => $detail,
-            'data_points' => $rows->count(),
-            'enabled' => true,
-        ];
-    }
-}

app/Services/Prediction/Signals/TrendSignal.php

@@ -1,86 +0,0 @@
-<?php
-
-namespace App\Services\Prediction\Signals;
-
-use Illuminate\Support\Facades\DB;
-
-final class TrendSignal extends AbstractSignal
-{
-    private const float R_SQUARED_THRESHOLD = 0.5;
-
-    private const float SLOPE_THRESHOLD_PENCE = 0.3;
-
-    private const float SLOPE_SATURATION_PENCE = 0.5;
-
-    private const int PREDICTION_HORIZON_DAYS = 7;
-
-    /** @return array{score: float, confidence: float, direction: string, detail: string, data_points: int, enabled: bool, slope: float, r_squared: float} */
-    public function compute(SignalContext $context): array
-    {
-        foreach ([5, 14] as $lookbackDays) {
-            $rows = DB::table('station_prices')
-                ->where('fuel_type', $context->fuelType->value)
-                ->where('price_effective_at', '>=', now()->subDays($lookbackDays))
-                ->selectRaw('DATE(price_effective_at) as day, AVG(price_pence) as avg_price')
-                ->groupBy('day')
-                ->orderBy('day')
-                ->get();
-
-            if ($rows->count() < 2) {
-                continue;
-            }
-
-            $regression = $this->linearRegression($rows->pluck('avg_price')->map(fn ($v) => (float) $v / 100)->values()->all());
-
-            if ($regression['r_squared'] >= self::R_SQUARED_THRESHOLD) {
-                $slope = $regression['slope'];
-                $direction = match (true) {
-                    $slope >= self::SLOPE_THRESHOLD_PENCE => 'up',
-                    $slope <= -self::SLOPE_THRESHOLD_PENCE => 'down',
-                    default => 'stable',
-                };
-                $absSlope = abs($slope);
-                $score = $direction === 'stable' ? 0.0 : min(1.0, $absSlope / self::SLOPE_SATURATION_PENCE) * ($slope > 0 ? 1 : -1);
-                $projected = round($slope * $lookbackDays, 1);
-                $detail = $direction === 'stable'
-                    ? "Prices flat over {$lookbackDays} days (slope: {$slope}p/day, R²={$regression['r_squared']})"
-                    : sprintf(
-                        '%s at %sp/day over %d days (R²=%s, ~%s%sp in %dd)',
-                        $slope > 0 ? 'Rising' : 'Falling',
-                        abs(round($slope, 2)),
-                        $lookbackDays,
-                        round($regression['r_squared'], 2),
-                        $projected > 0 ? '+' : '',
-                        $projected,
-                        self::PREDICTION_HORIZON_DAYS,
-                    );
-
-                if ($lookbackDays === 5) {
-                    $detail .= ' [Adaptive lookback active]';
-                }
-
-                return [
-                    'score' => $score,
-                    'confidence' => min(1.0, $regression['r_squared']),
-                    'direction' => $direction,
-                    'detail' => $detail,
-                    'data_points' => $rows->count(),
-                    'enabled' => true,
-                    'slope' => round($slope, 3),
-                    'r_squared' => round($regression['r_squared'], 3),
-                ];
-            }
-        }
-
-        return [
-            'score' => 0.0,
-            'confidence' => 0.0,
-            'direction' => 'stable',
-            'detail' => 'Insufficient price history or noisy data (R² below threshold)',
-            'data_points' => 0,
-            'enabled' => false,
-            'slope' => 0.0,
-            'r_squared' => 0.0,
-        ];
-    }
-}

app/Services/StationSearch/StationSearchService.php

@@ -7,8 +7,9 @@ use App\Enums\PriceReliability;
 use App\Models\Search;
 use App\Models\Station;
 use App\Models\User;
+use App\Services\Forecasting\LocalSnapshotService;
+use App\Services\Forecasting\WeeklyForecastService;
 use App\Services\HaversineQuery;
-use App\Services\NationalFuelPredictionService;
 use App\Services\PlanFeatures;
 use Illuminate\Database\Query\JoinClause;
 use Illuminate\Support\Carbon;
@@ -17,7 +18,8 @@ use Illuminate\Support\Collection;
 final class StationSearchService
 {
     public function __construct(
-        private readonly NationalFuelPredictionService $predictionService,
+        private readonly WeeklyForecastService $weeklyForecast,
+        private readonly LocalSnapshotService $localSnapshot,
     ) {}
 
     public function search(SearchCriteria $criteria, ?User $user, ?string $ipHash): SearchResult
@@ -134,7 +136,10 @@ final class StationSearchService
      */
     private function buildPrediction(?User $user, SearchCriteria $criteria): array
     {
-        $result = $this->predictionService->predict($criteria->lat, $criteria->lng);
+        $result = $this->weeklyForecast->currentForecast();
+        // Layer 1 is national; the region_key only reflects whether the
+        // caller passed coordinates so the JSON contract stays stable.
+        $result['region_key'] = 'regional';
 
         $canSeeFull = $user !== null && PlanFeatures::for($user)->can('ai_predictions');
 
@@ -146,6 +151,13 @@ final class StationSearchService
             ];
         }
 
+        $result['local_snapshot'] = $this->localSnapshot->snapshot(
+            fuelType: $criteria->fuelType->value,
+            lat: $criteria->lat,
+            lng: $criteria->lng,
+            radiusKm: max(10, (int) $criteria->radiusKm),
+        );
+
         return $result;
     }
 }

composer.json

@@ -1,9 +1,9 @@
 {
     "$schema": "https://getcomposer.org/schema.json",
-    "name": "laravel/livewire-starter-kit",
+    "name": "fuel-alert/fuel-alert",
     "type": "project",
-    "description": "The official Laravel starter kit for Livewire.",
+    "description": "Fuel Alert — UK fuel price intelligence app.",
-    "keywords": ["laravel", "framework"],
+    "keywords": ["laravel", "fuel", "alerts"],
     "license": "MIT",
     "require": {
         "php": "^8.4",

config/services.php

@@ -68,6 +68,13 @@ return [
         'provider' => env('LLM_PREDICTION_PROVIDER', 'anthropic'),
     ],
 
+    'forecasting' => [
+        // Phase 9 station-churn trigger is gated until ≥180 days of stable
+        // polling. Flip on once `station_prices` has continuous coverage —
+        // see `.claude/rules/forecasting.md`.
+        'station_churn_enabled' => env('FORECASTING_STATION_CHURN_ENABLED', false),
+    ],
+
     'fuelalert' => [
         'api_key' => env('FUELALERT_API_KEY'),
     ],

database/factories/BacktestFactory.php

@@ -0,0 +1,28 @@
+<?php
+
+namespace Database\Factories;
+
+use App\Models\Backtest;
+use Illuminate\Database\Eloquent\Factories\Factory;
+
+/** @extends Factory<Backtest> */
+class BacktestFactory extends Factory
+{
+    public function definition(): array
+    {
+        return [
+            'model_version' => 'test-'.fake()->unique()->bothify('????????'),
+            'features_json' => ['features' => ['delta_ulsp_lag_0']],
+            'coefficients_json' => null,
+            'train_start' => '2018-01-01',
+            'train_end' => '2024-01-01',
+            'eval_start' => '2024-01-08',
+            'eval_end' => '2026-04-27',
+            'directional_accuracy' => fake()->randomFloat(2, 50, 75),
+            'mae_pence' => fake()->randomFloat(2, 0.4, 1.0),
+            'calibration_table' => ['0.0-0.5' => 0.55, '0.5-1.0' => 0.65, '1.0+' => 0.72],
+            'leak_suspected' => false,
+            'ran_at' => now(),
+        ];
+    }
+}

database/factories/PricePredictionFactory.php

@@ -1,34 +0,0 @@
-<?php
-
-namespace Database\Factories;
-
-use App\Enums\PredictionSource;
-use App\Enums\TrendDirection;
-use App\Models\PricePrediction;
-use Illuminate\Database\Eloquent\Factories\Factory;
-
-/** @extends Factory<PricePrediction> */
-class PricePredictionFactory extends Factory
-{
-    public function definition(): array
-    {
-        return [
-            'predicted_for' => fake()->dateTimeBetween('-30 days')->format('Y-m-d'),
-            'source' => fake()->randomElement(PredictionSource::cases()),
-            'direction' => fake()->randomElement(TrendDirection::cases()),
-            'confidence' => fake()->numberBetween(40, 85),
-            'reasoning' => fake()->sentence(12),
-            'generated_at' => now(),
-        ];
-    }
-
-    public function llm(): static
-    {
-        return $this->state(['source' => PredictionSource::Llm]);
-    }
-
-    public function ewma(): static
-    {
-        return $this->state(['source' => PredictionSource::Ewma]);
-    }
-}

database/factories/WatchedEventFactory.php

@@ -0,0 +1,39 @@
+<?php
+
+namespace Database\Factories;
+
+use App\Models\WatchedEvent;
+use Illuminate\Database\Eloquent\Factories\Factory;
+
+/** @extends Factory<WatchedEvent> */
+class WatchedEventFactory extends Factory
+{
+    public function definition(): array
+    {
+        $startsAt = fake()->dateTimeBetween('-30 days', '+30 days');
+        $endsAt = (clone $startsAt)->modify('+'.fake()->numberBetween(1, 14).' days');
+
+        return [
+            'label' => fake()->sentence(3),
+            'starts_at' => $startsAt,
+            'ends_at' => $endsAt,
+            'notes' => fake()->boolean() ? fake()->paragraph() : null,
+        ];
+    }
+
+    public function active(): static
+    {
+        return $this->state([
+            'starts_at' => now()->subDays(2),
+            'ends_at' => now()->addDays(2),
+        ]);
+    }
+
+    public function inactive(): static
+    {
+        return $this->state([
+            'starts_at' => now()->subDays(30),
+            'ends_at' => now()->subDays(15),
+        ]);
+    }
+}

database/factories/WeeklyForecastFactory.php

@@ -0,0 +1,24 @@
+<?php
+
+namespace Database\Factories;
+
+use App\Models\WeeklyForecast;
+use Illuminate\Database\Eloquent\Factories\Factory;
+
+/** @extends Factory<WeeklyForecast> */
+class WeeklyForecastFactory extends Factory
+{
+    public function definition(): array
+    {
+        return [
+            'forecast_for' => now()->startOfWeek()->toDateString(),
+            'model_version' => 'ridge-'.fake()->unique()->bothify('????????'),
+            'direction' => fake()->randomElement(['rising', 'falling', 'flat']),
+            'magnitude_pence' => fake()->numberBetween(-300, 300),
+            'ridge_confidence' => fake()->numberBetween(20, 90),
+            'flagged_duty_change' => false,
+            'reasoning' => fake()->paragraph(),
+            'generated_at' => now(),
+        ];
+    }
+}