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Readme & install
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Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill momentum-reversal-cn- _meta.json296 B
- skill.json339 B
- SKILL.md2.8 KB
Overview
This skill is a practical guide and toolkit for momentum and reversal investing, focused on behavioral finance foundations and implementation details for A-share quantitative strategies. It explains why momentum and reversal appear, how they differ across time horizons, and provides parameter guidance for building multi-group long/short or long-only portfolios. The content emphasizes actionable choices for observation and holding windows, grouping, and risk controls.
How this skill works
The skill inspects historical return sequences to measure serial correlation and classify stocks into winner/loser groups over chosen observation windows. It supports constructing momentum (buy winners) and reversal (buy losers) portfolios with configurable observation and holding periods, group counts, and return aggregation (geometric mean). It highlights market-specific patterns in A-shares to recommend short- and mid-term parameter settings and cautions on costs and liquidity.
When to use it
- Designing quantitative equity strategies on A-share markets
- Testing short-term momentum signals (1 month)
- Implementing mid-term reversal strategies (3 months)
- Building market-neutral long/short portfolios
- Choosing observation/holding windows and grouping schemes
Best practices
- Use 1-month observation/holding for short-term momentum and 3-month windows for mid-term reversal in A-shares
- Divide stocks into 3–5 groups (5 is common) to balance signal granularity and turnover
- Prefer long-only momentum when shorting is constrained; use long/short for market-neutral exposure
- Incorporate transaction cost and slippage models — frequent rebalancing erodes returns
- Apply liquidity and market-cap filters to avoid small-cap execution risk
- Combine stop-loss or position-size rules to limit drawdowns and regime shifts
Example use cases
- Monthly rebalanced momentum fund: observe past 1 month, hold 1 month, top quintile long
- Quarterly reversal strategy: observe past 3 months, hold 3 months, buy bottom quintile
- Market-neutral alpha: long winners and short losers with 5 groups and geometric average returns
- Backtest style and industry momentum to decide whether to target sector rotation or stock-level signals
- Research project comparing A-share short-term momentum versus global markets
FAQ
Short-term momentum tends to show at 1 month; mid-term reversal is most evident at about 3 months. Use 1-month windows for momentum and 3-month windows for reversal as starting points.
Should I use long-only or long/short implementations?
Use long-only if shorting is limited or expensive. Use long/short for market-neutral exposure and clearer alpha attribution, but account for borrowing costs and shorting constraints.