ichimoku

To generate Ichimoku trading signals, feed a dictionary of symbol-to-OHLCV DataFrames to the engine and call the generate function. The system applies Tenkan/Kijun crossovers, cloud positioning, and Chikou confirmation to produce reliable trend trading outputs.

The Tenkan/Kijun crossover is a technical analysis mechanism where the faster Tenkan line crosses the slower Kijun line to signal trend changes. This engine confirms these crossovers using cloud positioning and the Chikou span before generating a trading signal.

Yes, you can use this engine for backtesting without external TA libraries. It is a pure Python and pandas implementation with no external dependencies, making it suitable for integrating directly into historical backtesting and live trading pipelines.

Yes, the Ichimoku signal generator requires a warm-up period before producing valid signals. This initial period allows the five-line system calculations to stabilize, ensuring accurate cloud positioning and Chikou confirmation for live trading signal generation.

The best way to automate trend trading decisions using pandas is to process OHLCV data through this standalone Ichimoku engine. It automatically interprets the five-line system, reducing manual analysis and decision latency for asset pairs.