What problem does it solve?
Manually scanning price charts for candlestick patterns is slow and error-prone. This Skill automates detection and classification of patterns like doji, hammer, engulfing, and head-and-shoulders from ingested OHLCV data, ranking them by reliability.
Core Features & Use Cases
- Pattern Detection: Scans candle sequences for single-candle (doji, hammer), two-candle (engulfing), three-candle (morning star), and multi-candle (head & shoulders, double top) formations.
- Classification & Ranking: Assigns each detection a type (reversal/continuation), direction (bullish/bearish), and reliability score, then sorts results by score.
- Persistent Storage: Stores detected patterns via typed pattern-store or namespace-routed memory for later retrieval and analysis.
- Use Case: After ingesting AAPL daily candles, run this Skill to surface a bullish engulfing pattern with a 0.82 reliability score and a suggested action.
Quick Start
Scan the ingested OHLCV data for AAPL on the daily period and report any candlestick patterns with their reliability scores.