backtesting-trading-strategies
Installation
SKILL.md
Backtesting Trading Strategies
Overview
Simulate trading strategies against historical data. Results describe a historical simulation, not expected future performance. The framework includes 8 built-in strategies, the metrics listed below, and parameter optimization.
Key Features:
- 8 pre-built trading strategies (SMA, EMA, RSI, MACD, Bollinger, Breakout, Mean Reversion, Momentum)
- Performance metrics (Sharpe, Sortino, Calmar, VaR, max drawdown)
- Parameter grid search optimization
- Equity curve visualization
- Trade-by-trade analysis
Prerequisites
Before invoking this skill, the user installs the required dependencies in the Python environment used for the simulation: