Does it generate visual charts?

Yes, every backtest generates a visualization chart that highlights exactly where buy and sell signals occurred on the price graph.

What performance metrics does the backtester provide?

It provides a full summary including Total Return, Annualized Return, Win Rate, Max Drawdown, and the Sharpe Ratio.

What trading strategies are supported by this skill?

The skill currently supports the SMA Crossover (moving average) and RSI Reversal (relative strength index) strategies out of the box.

Can I customize the backtest period and initial capital?

Yes, you can use command-line flags like --period to specify a timeframe (e.g., 5y) and --initial-capital to set your starting balance.

Trading Strategy Backtester

Name: Trading Strategy Backtester
Author: ai-align

byai-align

数据科学与机器学习

Backtests and evaluates quantitative trading strategies using historical stock market data to generate performance metrics and visualizations.

关于

This skill empowers developers and traders to rigorously test financial strategies like SMA Crossover and RSI Reversal against historical market data. It automates the simulation of trades, calculates critical risk-reward metrics such as Sharpe Ratio and Max Drawdown, and provides visual charts of entry and exit points. It is ideal for rapid prototyping of algorithmic trading ideas and assessing strategy viability before execution in live environments.

主要功能

Support for multiple stock tickers via command-line integration
Automated backtesting of SMA Crossover and RSI Reversal strategies
Customizable backtest parameters like time periods and initial capital
Comprehensive performance reporting including win rates and Sharpe ratios
0 GitHub stars
Visual chart generation with clearly marked buy and sell signals

使用场景

Optimizing strategy parameters like SMA window lengths for better risk-adjusted returns
Generating visual reports to communicate trading signal logic and performance metrics
Evaluating the historical profitability of technical analysis strategies on specific tickers

关于

主要功能

Support for multiple stock tickers via command-line integration
Automated backtesting of SMA Crossover and RSI Reversal strategies
Customizable backtest parameters like time periods and initial capital
Comprehensive performance reporting including win rates and Sharpe ratios
0 GitHub stars
Visual chart generation with clearly marked buy and sell signals

使用场景

Optimizing strategy parameters like SMA window lengths for better risk-adjusted returns
Generating visual reports to communicate trading signal logic and performance metrics
Evaluating the historical profitability of technical analysis strategies on specific tickers