trading.git - Unnamed repository; edit this file 'description' to name the repository.

Age	Commit message (Collapse)	Author
19 hours	refactor: purge all remaining crypto/Binance references	TheSiahxyz
	- Replace BTCUSDT/SOLUSDT/ETHUSDT with AAPL/MSFT in all test files - Update backtester default symbol to AAPL - Update strategy-engine default symbols to US stocks - Update project description and CLI help text - Remove empty superpowers docs directory - Zero crypto references remaining in codebase
19 hours	refactor: remove all crypto/Binance code, update to US stock symbols	TheSiahxyz

35 hours	feat(shared): add conviction, stop_loss, take_profit to Signal model	TheSiahxyz

35 hours	feat(backtester): Phase 1 complete — realistic backtesting engine	TheSiahxyz
	- 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
35 hours	feat(backtester): add slippage, fees, stop-loss/take-profit, and short selling	TheSiahxyz

35 hours	feat(backtester): add walk-forward analysis engine	TheSiahxyz

35 hours	feat(backtester): improve metrics with daily Sharpe, recovery factor, ↵	TheSiahxyz
	consecutive stats
35 hours	fix: WS factory, backtester config, CI docker builds, health port docs	TheSiahxyz

36 hours	fix: lint fixes for integration tests and backtester noqa annotations	TheSiahxyz

36 hours	fix: clean up backtester strategy loading and update Dockerfiles	TheSiahxyz

37 hours	fix: resolve lint issues and final integration fixes	TheSiahxyz
	- 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
37 hours	feat(backtester): integrate detailed metrics and rich reporter	TheSiahxyz
	- 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
37 hours	feat(backtester): add detailed metrics (Sharpe, Sortino, drawdown)	TheSiahxyz
	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.
37 hours	feat: initial trading platform implementation	TheSiahxyz
	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