hk-stock-to-gougoubi-prediction

What This Skill Does

The hk-stock-to-gougoubi-prediction skill acts as an intelligent bridge between raw Hong Kong stock market research and the actionable world of decentralized prediction markets. It streamlines the complex process of turning market insights—such as earnings reports, technical trends, or policy shifts affecting the HSTECH index—into formally structured, resolution-ready proposals for the Gougoubi platform.

By chaining together deep analytical research and deterministic conversion logic, the skill ensures that all generated prediction markets are clear, objective, and publicly verifiable. It forces a rigorous filter on your analytical output to prevent the creation of ambiguous, subjective, or illiquid market proposals, ensuring that only high-quality, measurable claims make it to the Gougoubi interface.

Installation

To integrate this skill into your OpenClaw environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/chinasong/hk-stock-to-gougoubi-prediction

This skill requires the hk-stock-predictor dependency to function, as it relies on the internal analysis engine to validate the financial hypotheses before drafting the proposal.

Use Cases

• Earnings Season Preparation: Automatically convert forecasted revenue growth or net profit beats into binary markets (e.g., "Will 00700 report growth above 15%?").
• Policy-Driven Sentiment: Transform macro narratives regarding Southbound Capital inflows into precise timeline-based performance bets.
• HSTECH Benchmarking: Create relative performance markets comparing specific high-conviction components against the broader HSTECH index over defined time horizons.

Example Prompts

1. "Analyze 01810 for a 30-day outlook and propose a Gougoubi market based on the most likely price floor."
2. "Research the recent trend in 09988 and create a 14-day prediction market proposal regarding its performance relative to the HSTECH index."
3. "Evaluate the theme of green energy stocks in the HK market and generate a prediction proposal for the highest conviction stock candidate with a 60-day horizon."

Tips & Limitations

• Deterministic Filtering: This skill rejects vague sentiment-based questions. Always ensure your initial query provides a specific stock symbol or a well-defined thematic hypothesis to allow the predictor to generate concrete thresholds.
• Resolution Integrity: The skill defaults to public, verifiable sources for resolution. Avoid requesting markets based on obscure private data, as the system is designed to enforce transparency.
• Time-Bound Constraints: All proposals require an explicit horizon. If you do not provide one, the skill will default to a standard 14-day window; for best results, manually specify the timeframe that matches your analytical research period.