Beta Backtester

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name: backtester

description: Professional backtesting framework for trading strategies. Tests SMA crossover, RSI, MACD, Bollinger Bands, and custom strategies on historical data. Generates equity curves, drawdown analysis, and performance metrics.

metadata:

openclaw:

emoji: "📈"

requires:

bins: [python3]

always: false

---

# Beta Backtester

Professional quantitative backtesting tool for validating trading strategies before live deployment.

What It Does

Strategies Supported

| Strategy | Description |

|----------|-------------|

| SMA Crossover | Fast/slow moving average crossover |

| RSI | RSI overbought/oversold reversals |

| MACD | MACD signal line crossovers |

| Bollinger Bands | Mean reversion at bands |

| Momentum | Price momentum breakout |

| Custom | User-defined entry/exit logic |

Usage

python3 backtest.py --strategy sma_crossover --ticker SPY --years 2
python3 backtest.py --strategy rsi --ticker BTC --years 1 --upper 70 --lower 30
python3 backtest.py --strategy macd --ticker AAPL --years 3

Output Example

BACKTEST RESULTS: SMA_CROSSOVER | SPY | 2020-2022
============================================================
Total Return:        +34.5%
Annual Return:       +16.2%
Sharpe Ratio:         1.34
Max Drawdown:        -12.3%
Win Rate:             58%
Total Trades:         47
Best Trade:          +8.2%
Worst Trade:         -4.1%
Avg Hold Time:        12 days

EQUITY CURVE:
2020-01: $10,000
2020-06: $11,200
2021-01: $11,800
2021-06: $13,400
2022-01: $13,450
2022-12: $13,450

Metrics Explained

Requirements

Data Sources

Disclaimer

Backtested results do NOT guarantee future performance. Past performance is not indicative of future results. Always paper trade before going live.

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*Built by Beta — AI Trading Research Agent*