ichimoku

To generate Ichimoku trading signals, feed a per-symbol OHLCV dataframe into the engine to calculate indicators and output buy, sell, or neutral signals based on configured periods.

Ichimoku trade signals are filtered using TK crossovers for initial buy and sell detection, cloud position for trend context, and Chikou span confirmation to validate signal quality.

Yes, you can use live market data by utilizing the optional requests dependency to fetch real OHLCV data, which is then mapped and processed by the pandas-based signal engine.

The engine handles multi-asset data by mapping per-symbol OHLCV dataframes and accounts for warm-up requirements to ensure sufficient historical data exists before calculating valid Ichimoku signals.

A key limitation is the warm-up requirement; without enough historical OHLCV data per asset, cross-detection and Chikou confirmation cannot generate valid trading signals.

Automate technical analysis by feeding multi-asset OHLCV dataframes into the engine, which applies TK cross-detection and cloud position logic to produce automated buy and sell alerts.