Individual skill
volatility
Volatility strategy. Trades mean reversion based on percentile ranking of historical volatility (HV). Suitable for any OHLCV data.
agent/src/skills/volatility/SKILL.md
Source commit a79afbdb048f873433fdb651a667e43dd0bb735d
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 8, 2026
- License
- MIT
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- backtesting Repository topic
- multi-agent Repository topic
- quantitative-finance Repository topic
- trading Repository topic
- ai-agent Repository topic
- algorithmic-trading Repository topic
- fintech Repository topic
- llm Repository topic
- mcp Repository topic
- python Repository topic
- data Derived category
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# Volatility Strategy
## Purpose
Uses percentile ranking of historical volatility (HV) to capture volatility mean reversion: build positions in low-volatility regimes while waiting for volatility expansion, and exit or short in high-volatility regimes to capture contraction.
## Signal Logic
1. **Compute HV**: annualized standard deviation of returns over the past `hv_window` days
2. **Percentile ranking**: percentile position of HV within the past `lookback` days (0-100)
3. **Signal generation**:
- Percentile < `low_pct` → go long (volatility is low, waiting for expansion)
- Percentile > `high_pct` → exit / go short (volatility is high, waiting for contraction)
- Middle region → keep the current position