A股短线交易决策 A-Share Short-Term Decision
A-share short-term trading decision skill for 1-5 day horizon. Use when you need real-data market sentiment, sector rotation, strong stock scanning, capital flow confirmation, date-based short-term signal scoring, prediction logging, and next-day market comparison for CN A-share momentum trading.
Why use this skill?
Use the A-Share Short-Term Decision skill for high-accuracy momentum trading, real-time market sentiment analysis, and backtested performance reporting on Chinese stocks.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/kenera/a-share-short-decisionWhat This Skill Does
The A-Share Short-Term Decision skill is an advanced analytical framework designed for the Chinese equity market, focusing on momentum-based trading with a 1-5 day horizon. This tool leverages high-frequency data, sector rotation metrics, and capital flow analysis to identify high-probability trade candidates. The skill operates through a structured engine that ingests date-specific market snapshots, calculates a weighted short-term signal score, and persists actionable insights into a local database (data/decision_log.jsonl) for long-term auditability and performance improvement. By integrating predictive logging with real-market comparison, it creates a self-improving loop that allows traders to evaluate the efficacy of their strategy against actual market outcomes.
Installation
You can install this skill directly via the OpenClaw repository by executing the following command in your terminal:
clawhub install openclaw/skills/skills/kenera/a-share-short-decision
Ensure that your OpenClaw environment is configured with the necessary permissions for file I/O, as the skill heavily utilizes local data storage for signal logs and reporting.
Use Cases
- Market Timing: Identify entry points during volatile momentum shifts within the CN A-share market.
- Backtesting Performance: Compare predicted versus actual price movement to refine strategy sensitivity.
- Automated Reporting: Generate end-of-day summary reports for daily briefing without manual data compilation.
- Sector Analysis: Analyze capital inflow trends to determine which sectors are attracting short-term speculative interest.
Example Prompts
- "Run the short-term signal engine for 2026-02-12 and generate a report of all potential buying candidates."
- "Compare the prediction performance from 2026-02-12 against the market close on 2026-02-13 to assess accuracy."
- "Execute a full-stack analysis and recommendation flow for today, February 14, 2026, including optimization from the recent two-week period."
Tips & Limitations
- The skill requires a strict YYYY-MM-DD or YYYYMMDD date format; ensure inputs conform to this structure to prevent processing errors.
- The engine is specifically tuned for short-term horizon trading; it is not suitable for value investing or long-term portfolio holding strategies.
- If no candidates are found, the system will explicitly return a 'no-recommendation' message. Do not force trades when the indicator signals 'NO_TRADE'.
- Utilize the subskills workflow (optimize-then-recommend) at least weekly to ensure the decision logic stays aligned with current market regimes.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-kenera-a-share-short-decision": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, code-execution
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