Compute technical indicators like RSI, MACD, Bollinger Bands, SMA, EMA for a stock. Use when user asks about technical analysis, indicators, RSI, MACD, moving averages, overbought/oversold, or chart analysis.
Quickly install technical-analysis AI skill to your development environment via command line
Source: staskh/trading_skills.
Compute technical indicators using pandas-ta. Supports multi-symbol analysis and earnings data.
Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.
Compute price correlation matrix between multiple symbols for diversification analysis.
Compute technical indicators like RSI, MACD, Bollinger Bands, SMA, EMA for a stock. Use when user asks about technical analysis, indicators, RSI, MACD, moving averages, overbought/oversold, or chart analysis. Source: staskh/trading_skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/staskh/trading_skills --skill technical-analysisCompute technical indicators like RSI, MACD, Bollinger Bands, SMA, EMA for a stock. Use when user asks about technical analysis, indicators, RSI, MACD, moving averages, overbought/oversold, or chart analysis. Source: staskh/trading_skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/staskh/trading_skills --skill technical-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/staskh/trading_skills