Detect five-point price patterns using Fibonacci ratios and generate buy, sell, or stand-aside signals. The skill identifies Gartley, Bat, Butterfly, and Crab patterns and locates potential reversal zones, where a price trend may change direction.
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Harmonic Patterns signal engine. Identifies XABCD five-point structures such as Gartley/Bat/Butterfly/Crab based on Fibonacci geometry, and generates trading signals in the PRZ (Potential Reversal Zone).
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The Fibonacci geometry school uses precise ratio relationships to identify price patterns:
| Pattern | B-Point Retracement | D-Point Retracement | Direction |
|---|---|---|---|
| Gartley | 0.618 XA | 0.786 XA | Reversal |
| Bat | 0.382-0.5 XA | 0.886 XA | Reversal |
| Butterfly | 0.786 XA | 1.27 XA | Reversal |
| Crab | 0.382-0.618 XA | 1.618 XA | Reversal |
pip install "vibe-trading-ai[harmonic]"
pyharmonics is optional. If the extra is not installed, the example signal
engine falls back to the bundled detector.
| Parameter | Default | Description |
|---|---|---|
| is_stock | False | Whether the instrument is a stock (affects analysis parameters) |
1 = long, -1 = short, 0 = stand asideswing_window bars after it forms, so the signal is stamped on that confirmation bar, not on the swing bar itself (bundled detector only; the optional pyharmonics path is unchanged)아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.
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Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.
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Explore bundled libraries of investment factors, signals used to compare securities, and inspect individual formulas and metadata. Evaluate a factor or an entire library across a chosen universe and period, producing aggregate performance statistics and an HTML report.
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Assess whether a Chinese A-share company may receive ST or *ST risk warnings next financial year. Review financial forecasts, dividends, audit opinions, and regulatory penalties, then report risk severity separately from confidence in the prediction.
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Plan portfolio allocations across assets using risk, correlations, return forecasts, and trading costs. Compare five optimization methods, produce settings for config.json, and define rebalancing rules that adjust holdings back toward their target weights.
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Diagnose failed or abnormal backtests, which test trading strategies on historical data. Inspect result files, strategy code, and configuration to identify bugs, make targeted repairs, rerun tests, and verify the updated metrics.
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