- Change BacktestRequest from strategy_weights dict to strategies list to match frontend
- Add tickers field so users can select which stocks to backtest
- Fetch historical bars from Alpaca StockHistoricalDataClient instead of empty data loader
- Register all 9 strategies (momentum, mean_reversion, news_driven, value, macd_crossover,
bollinger_breakout, vwap, liquidity, ma_stack) filtered by user selection
- Fix response format: use frontend field names (max_drawdown, total_trades, win_rate as
0-1 decimal), include equity_curve and run_id in response
- Add ticker selector with checkboxes and custom ticker input to dashboard
- Add alpaca-py to api dependency group in pyproject.toml
Add Layout with sidebar navigation and top bar (portfolio value, trading
status indicator). Implement Portfolio page with equity curve (TradingView
lightweight-charts), positions table, and metrics row. Add TradeLog with
filters, pagination, and expandable row details. Add Strategies page with
weight allocation pie chart and weight history line chart (Recharts). Add
NewsFeed with sentiment badges and ticker filtering. Add Backtest page
with config form, run submission, and results panel. Include WebSocket
hook for real-time cache invalidation and portfolio query hooks.
Scaffold Vite + React + TypeScript project with Tailwind CSS dark theme.
Add Axios API client with JWT interceptor and auto-refresh, WebAuthn
passkey auth flow (register/login), protected route wrapper, and React
Router with public and protected routes.
