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- Slippage modeling (configurable per-trade, buy higher/sell lower)
- Trading fee deduction (maker/taker configurable)
- Stop-loss and take-profit auto-execution per position
- Short selling support (allow_short flag)
- Walk-forward analysis engine (in-sample/out-of-sample, efficiency ratio)
- Daily equity curve Sharpe/Sortino with risk-free rate adjustment
- Recovery factor, consecutive win/loss streaks, fee-aware PnL
- 312 tests passing
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consecutive stats
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- Fix ambiguous variable name in binance_rest.py
- Remove unused volumes variable in volume_profile_strategy.py
- Fix import ordering in backtester main.py and test_metrics.py
- Auto-format all files with ruff
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- Add timestamp field to SimulatedTrade, pass candle.open_time from engine
- Engine now builds TradeRecord list and computes DetailedMetrics
- Reporter uses rich tables for summary and monthly returns display
- Add export_csv() and export_json() functions
- Update reporter tests for rich output and export functions
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Add metrics.py with TradeRecord/DetailedMetrics dataclasses and
compute_detailed_metrics() that pairs BUY/SELL trades FIFO, computes
win/loss stats, profit factor, equity curve, max drawdown, Sharpe,
Sortino, Calmar ratios, and monthly returns.
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Binance spot crypto trading platform with microservices architecture:
- shared: Pydantic models, Redis Streams broker, asyncpg DB layer
- data-collector: Binance WebSocket/REST market data collection
- strategy-engine: Plugin-based strategy execution (RSI, Grid)
- order-executor: Order execution with risk management
- portfolio-manager: Position tracking and PnL calculation
- backtester: Historical strategy testing with simulator
- cli: Click-based CLI for all operations
- Docker Compose orchestration with Redis and PostgreSQL
- 24 test files covering all modules
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