A-Share Ultra Short-Term Daily Review Framework
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Please follow https://skillhub.cn/install/skillhub.md and install @user_8ee69ba5/daily-review.
About this skill
Problem: Daily review tends to become unstructured
The issue is not always insufficient data. In A-share ultra short-term trading, market news, limit-up structure, position rules, and next-day plans often get mixed into narrative notes. That makes it easy to miss catalysts, skip position checks, or fall back on ad hoc rules such as 'hold if it opens high.' @user_8ee69ba5/daily-review turns the review into a constrained, repeatable workflow.
How it works: parameterized input and a 13-section report
The skill asks for the user's holdings and capital size, then adapts the analysis. It expects a daily report with 13 sections: previous recommendations, news catalysts, broad market and sentiment, sentiment-cycle positioning, market style, capital attack direction, limit-up ladder analysis, active-stock trend review, position analysis, simulated account review, next-day recommendations, medium-term outlook, and discipline checks. For each recommended stock, it requires a better-than-expected, in-line, and worse-than-expected scenario, with entry conditions, stop loss, and position sizing. The material also suggests using cycle-dragon-trading for sentiment-stage checks, limit-up trend, promotion rate, sector linkage, and sell rules, reducing reliance on subjective judgment.
Boundaries
It is suited to daily short-term review, position discipline, and next-day planning. The source says the framework is for learning and research, all analysis is based on public market data, past performance does not guarantee future results, and the user is responsible for trading decisions.
Use Cases
- After close, compile news catalysts, market sentiment, limit-up ladder, and position actions into a fixed daily report.
- Check whether yesterday's picks were valid and verify sell rules, turnover, and stop-loss discipline were not missed.
- Build next-day buy plans by splitting each recommendation into better-than, in-line, and worse-than expected scenarios.
- Locate the sentiment cycle stage using the cycle-dragon-trading strategy to constrain position size and attack direction.
Best For
- Short-term A-share traders who need a fixed post-close review template and discipline checks
- Users of the cycle-dragon-trading strategy who need sentiment-stage and position rules in daily reports
- Reviewers of simulated accounts who need trade records, P&L, and recommendation follow-through
- Individual investors who need holdings, capital, and stop-loss conditions turned into three-scenario next-day plans
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