Detect TK crossovers with cloud positioning from OHLC candle data.
npx skills add https://github.com/HKUDS/Vibe-Trading --skill ichimoku
Please help me install this Agent Skill. Skill: ichimoku Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/ichimoku Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill ichimoku
This skill turns raw OHLCV candles into filtered Ichimoku signals so traders stop guessing on noisy TK crossovers and cloud context.
Ask the ichimoku skill to evaluate BTC-USDT daily candles and report the latest filtered TK crossover signal.
High-intent search queries and answers about installing and using this skill.
You can generate Ichimoku signals by processing OHLC candle data through the skill, which computes Tenkan, Kijun, and Senkou A/B lines to output filtered trend signals based on TK crossovers and cloud positioning.
False TK crossover signals often occur when cloud context is ignored. This skill filters crossovers by verifying price position relative to the cloud and the cloud's direction to ensure signal quality and reduce false entries.
This skill calculates Tenkan, Kijun, and Senkou A/B lines using pandas DataFrames, applying a 26-period displacement for the cloud and respecting a 78-bar warm-up period to ensure accurate trend detection.
Yes, Ichimoku trend detection is designed for crypto or equity trading desks, allowing you to monitor daily candles for assets like BTC-USDT and act on strong cloud-confirmed crossover signals indicating decisive trend shifts.
The minimum requirement for accurate Ichimoku cloud analysis is a 78-bar warm-up period. This ensures the Tenkan, Kijun, and displaced Senkou A/B lines have sufficient historical data to compute valid trend signals.
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