chanlun

You can generate Chanlun buy sell signals by loading OHLCV market data into the SignalEngine, which automatically recognizes morphology and outputs long, short, or neutral trading signals.

Multi-timeframe analysis detects Zhongshu zones and BI segments by transforming OHLCV data across timeframes to identify 3, 5, 7, 9, or 11笔 morphology patterns and corresponding trading signals.

Yes, you need Python with the czsc library installed to run Chanlun morphology recognition, which supports incremental updates with safe, deterministic operation for signal generation.

The best way to automate FX point detection for Kline patterns is using an automated morphology recognition engine that processes OHLCV data to identify top and bottom formations across multiple timeframes.

Yes, you can use Chanlun trading signals for backtesting workflows and strategy prototyping by integrating the generated buy sell signal series with the czsc library environment.

Multi-timeframe Chanlun analysis requires specific笔 morphology patterns because trading signals are generated based on recognized 3, 5, 7, 9, or 11笔 formations that define market structure.