AI skill for equity investors and traders. Automates systematic backtesting, market analysis, technical charting, economic calendar monitoring, and US stock research. Integrates with Claude and Python scripts.
git clone https://github.com/tradermonty/claude-trading-skills.gitAI skill for equity investors and traders. Automates systematic backtesting, market analysis, technical charting, economic calendar monitoring, and US stock research. Integrates with Claude and Python scripts.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/tradermonty/claude-trading-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze [STOCK] using [TECHNICAL_INDICATORS] and [TIMEFRAME]. Provide a detailed backtest of [STRATEGY] over the past [PERIOD]. Include key metrics like Sharpe ratio, maximum drawdown, and win rate. Also, generate a technical chart with annotations for key support/resistance levels and trend lines.
# Stock Analysis: Tesla (TSLA) ## Technical Analysis - **Timeframe**: 1 Year - **Indicators**: 50-day and 200-day moving averages, RSI (14), MACD **Key Observations**: - TSLA is currently trading above the 50-day MA but below the 200-day MA, indicating a potential bullish reversal. - RSI is at 45, suggesting the stock is neither overbought nor oversold. - MACD histogram shows a bullish crossover. ## Backtest Results - **Strategy**: Moving Average Crossover (50/200) - **Period**: 2020 - 2023 - **Sharpe Ratio**: 1.2 - **Maximum Drawdown**: -18% - **Win Rate**: 58% ## Technical Chart  **Annotations**: - Support: $150 - Resistance: $250 - Uptrend line from March 2023 lows
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