| name | crypto-backtest |
| description | Crypto futures backtesting engine with built-in EMA, RSI, MACD, and Bollinger Band strategies. Fetches OHLCV data from any ccxt-supported exchange (Bybit, Binance, OKX, etc.), runs multi-strategy sweeps, calculates win rate / PnL / drawdown, and exports results to JSON. Use when backtesting trading strategies, comparing parameter combinations, evaluating crypto trading signals, or building a quantitative trading pipeline. |
Cleanup Review
python scripts/_cleanup.py is an optional cleanup helper for the Crypto Backtest Engine skill. It may recursively remove ~/.cache/skill_tmp, ~/.skill_state. Show the exact paths first, explain whether they are skill-private temporary paths or user state, and run the cleanup only after the user confirms.
Crypto Backtest Engine
Fast, scriptable backtesting for crypto futures strategies. Fetches data via ccxt, runs strategies, reports metrics.
Quick Start
pip install ccxt numpy
python scripts/backtest_engine.py --symbol ETH/USDT:USDT --strategy ema --fast 12 --slow 26
Features
- Multi-exchange: Any ccxt-supported exchange (Bybit, Binance, OKX, Bitget...)
- Built-in strategies: EMA crossover, RSI, MACD, Bollinger Bands
- Parameter sweep: Test all combinations automatically
- Risk simulation: Configurable leverage, position size, SL/TP, fees
- JSON export: Machine-readable results for pipeline integration
- Custom strategies: Simple plug-in interface
Usage
Single Strategy
python scripts/backtest_engine.py \
--symbol SOL/USDT:USDT \
--strategy rsi \
--period 14 --oversold 30 --overbought 70 \
--capital 1000 --leverage 5
Parameter Sweep
python scripts/sweep.py \
--symbol ETH/USDT:USDT \
--strategies ema,rsi,macd,bbands \
--capital 1000 --leverage 5 \
--output results.json
Custom Strategy
See references/custom_strategy.md for the plug-in interface.
Output Metrics
Each backtest reports:
- Total trades, win rate, profit factor
- Total PnL (absolute + percentage)
- Max drawdown
- Best/worst trade
- Final balance
Files
scripts/backtest_engine.py — Core engine with EMA, RSI, MACD, Bollinger Bands
scripts/sweep.py — Multi-strategy parameter sweep runner
references/custom_strategy.md — Guide for adding custom strategies
references/strategy_notes.md — Notes on each built-in strategy's edge cases