This wraps pandas-ta, a library with 130+ technical indicators that bolt onto any OHLCV DataFrame via `df.ta.rsi()` or `df.ta.macd()`. It covers the usual suspects: RSI, MACD, Bollinger Bands, plus stuff like SuperTrend and Ichimoku. The Strategy class is handy for running multiple indicators in one shot instead of chaining method calls. The docs lean heavy into crypto with specific guidance on volatility adjustments (wider Bollinger Bands, shorter RSI periods) and timeframe selection for different trading styles. Column names must be lowercase and you'll want a DatetimeIndex for time-aware indicators like VWAP. Good for backtesting or building signal logic without reinventing TA math.
npx skills add https://github.com/agiprolabs/claude-trading-skills --skill pandas-ta