Stock Sentiment Cycle Analyzer
Paste the following prompt into your AI chat to install this skill:
Please install @user_8ef78c30/stock-sentimental-cycle according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
A common issue in short-term A-share trading is that the market may look active on the surface, but it is unclear whether it is in a warming, climax, or overheated phase. A local hotspot can also keep attracting attention even after sentiment is already fading. stock-sentimental-cycle focuses on one dimension only: the sentiment cycle. Instead of mixing in thematic analysis, money flow, and dragon-tiger board data, it tries to answer three concrete questions:
- What stage is the market in right now;
- Whether the current stage is more suited to waiting, trial exposure, holding, or taking profit;
- Whether there are reversal signals from freezing to recovery or from climax to fading.
How It Works
The skill maps market sentiment into a path of freezing → cold → warming → climax → overheated, then scores the day using a 100-point model. The main indicators include:
- Limit-up count: measures the absolute level of enthusiasm;
- Highest consecutive limit-up height: indicates the ceiling of market appetite;
- Failed limit-up rate: reflects seal quality;
- Profit effect: uses the next-day premium of previous limit-up stocks to judge follow-through demand;
- Turnover relative to the 20-day average: avoids misreading absolute volume in bull or bear regimes;
- Limit-down vs. limit-up comparison: tracks the spread of loss effect;
- Market breadth: looks at the advance-decline balance.
In practice, if a user only provides partial inputs such as limit-up count, failed limit-up rate, and turnover, the skill fills in missing indicators and scores each one against threshold tables. The total score maps to a stage and a corresponding action bias. For reversal detection, it also checks signals such as leader stock weakness, failed limit-up rate, profit-effect decay, limit-up recovery, and active participation from major speculative capital. For example, multiple upward signals during a cold phase may suggest recovery, while two fading signals during climax or overheated conditions may suggest risk.
Boundaries
This model is suitable for review, position pacing, and short-term sentiment positioning. It should not be treated as a deterministic buy-or-sell instruction. Extreme regulatory events, macro shocks, missing data sources, or abnormal market behavior can invalidate the judgment. The output is intended as a trading reference, not investment advice.
Use Cases
- After close, determine whether the market is freezing, warming, or climax using limit-up count, consecutive height, failed limit-up rate, and turnover.
- When only limit-up count, failed limit-up rate, and turnover are provided, fill missing indicators and output the daily sentiment score and stage report.
- Check leader weakness, failed limit-up rate, and profit effect to detect climax-to-fading or freezing-to-recovery transitions.
- Provide a stage-based position bias, such as wait-and-see, trial exposure, or profit-taking for short-term trading.
Best For
- A-share short-term traders: need a quick post-close sentiment stage and next-day position bias.
- Speculative-follow traders: want to read limit-up height, failed limit-up rate, and profit effect to judge consecutive-board room.
- Individual investors: want to avoid chasing local hotspots during overheated or fading phases.
- Research assistants: need to turn daily market indicators into a comparable sentiment-cycle report.
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