ichimoku

To generate Ichimoku trading signals from OHLCV data, feed a map of per-symbol pandas DataFrames into the signal engine to compute Tenkan/Kijun crossovers, cloud position, and Chikou confirmation automatically.

The minimum warm-up period for accurate Ichimoku signals is 78 candles, which accounts for the 52-period calculation base plus the 26-period displacement required before robust signal generation begins.

Yes, you can use pandas to calculate Tenkan and Kijun cross signals for crypto assets or any asset with OHLCV data, utilizing the deterministic five-line system to filter trades by cloud direction.

Yes, the Ichimoku signal engine requires the requests library for data retrieval from public data sources, alongside pandas for processing the OHLCV data maps into actionable buy, sell, or neutral signals.

Ichimoku cloud analysis does not produce valid signals before 78 candles because the Senkou Span displacement and Kijun-sen baseline calculation need sufficient historical data to establish reliable trend direction.

The best way to filter Tenkan and Kijun crossover signals is by applying the triple-filter logic, which validates TK crossovers against the price position relative to the cloud and the cloud's overall direction.