- 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
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