Detect fractals, strokes, and centers in OHLCV market data.
npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill chanlun-0xzknw
Please help me install this Agent Skill. Skill: chanlun Source: https://github.com/0xZKnw/vibe-trading-tap/tree/main/agent/src/skills/chanlun Command: npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill chanlun-0xzknw
This skill automates the complex and subjective process of Chanlun (Chan-Zhong-Shuo-Chan) technical analysis, removing human error in identifying market structures like fractals, strokes, and centers.
Use the chanlun skill to analyze the provided market data and identify the latest buy or sell signals for the specified asset.
High-intent search queries and answers about installing and using this skill.
Automating Chanlun technical analysis involves processing raw OHLCV market data to deterministically identify fractals, strokes, and centers. This removes subjective human error from market structure detection and outputs deterministic buy and sell point signals for quantitative trading.
Chanlun buy and sell signals are deterministic trading points generated by detecting trend exhaustion and divergence within market structures. The engine processes OHLCV data to identify the 1st, 2nd, and 3rd buy or sell signals based on fractal and stroke relationships.
Yes, you can use pandas dataframes containing historical OHLCV market data to scan for Chanlun trading signals. The engine processes the data to detect multi-period trends and identify specific buy or sell points for backtesting quantitative trading strategies.
The Chanlun analysis engine processes OHLCV market data to monitor real-time price action for trend reversals in crypto or stock markets. It relies on the requests library to ingest market data for detecting fractals and generating live buy and sell signals.
The best way to identify market centers and fractals for quantitative trading is using an automated Chanlun engine. It mathematically processes OHLCV data to detect K-line fractals, strokes, and centers, providing deterministic signals without the subjectivity of manual charting.
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