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🦀 ClawHub

SSQ Prediction

by @rix-zhang

AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sen...

Versionv1.1.0
Downloads463
#research#finance#legal#gaming
TERMINAL
clawhub install ssq-prediction

📖 About This Skill

name: ssq-prediction description: AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sends Top 10 recommendations to Feishu. Use when user asks for "ssq prediction" or "双色球预测". metadata: openclaw: requires: bins: - openclaw env: - name: FEISHU_SSQ_GROUP_ID description: "Feishu group ID to deliver the prediction report. If not set, output is shown in chat." required: false

Double Color Ball Prediction (SSQ)

This skill automates the prediction of Double Color Ball (双色球) lottery numbers using a "Contextual Quantum-like Bayesian Network" (CQ-BN) model simulation.

Dependencies

  • openclaw CLI: Required for Feishu message delivery. This is provided by the OpenClaw platform itself.
  • Feishu authentication: This skill uses OpenClaw's existing Feishu integration (already configured at the platform level). No additional credentials or tokens are required.
  • FEISHU_SSQ_GROUP_ID *(optional)*: Set this environment variable to your target Feishu group ID to enable automatic delivery. If not set, the report is output directly in the current chat session.

    • Configuration

    | Variable | Required | Description | |---|---|---| | FEISHU_SSQ_GROUP_ID | No | Feishu group ID for report delivery |

    Workflow

    1. Data Acquisition - Fetch recent 200 periods of SSQ historical data from: 

         https://datachart.500.com/ssq/history/newinc/history.php?start=24001&end=24200
    - Adjust start and end parameters dynamically to retrieve the most recent 200 periods.

    2. Model Execution (CQ-BN Simulation) - Context: You are a quantum physicist building a mathematical model. - Logic: - Interference Term: Calculate "constructive interference" zones between red balls. - Hilbert Space Mapping: Map red balls (1–33) to a Hilbert space; identify high-energy "potential wells". - Phase Collapse: Predict the "collapse point" of probability waves for the next draw. - Refinement: - Generate an initial Top 20 combinations. - Analyze frequency of numbers in the Top 20 to find the "resonance" set (most frequent numbers). - Re-combine high-frequency numbers to form a final Top 10.

    3. Output Formatting

    Generate a report with the following structure:

       【 🔔AI投资研究院-双色球预测 [YYYY-MM-DD]】
       ### 【上下文相关量子贝叶斯网络模型 (Contextual Quantum-like Bayesian Network, CQ-BN)】
       模型运行报告：
   - 数据已映射至 Hilbert 空间
   - 在 [区间] 检测到量子干涉
   - 概率波坍缩点预测完成
       Top 10 推荐组合：
   1. 红球：[R1]、[R2]、[R3]、[R4]、[R5]、[R6]，蓝球：[B1]
   2. ...
       ⚠️ 风险提示：量子概率坍缩具有随机性，模型结果仅供数学研究参考，不构成绝对投资建议。请理性购彩。

    4. Delivery - If FEISHU_SSQ_GROUP_ID is set, send the report to that Feishu group via OpenClaw's built-in Feishu integration: 

         openclaw message send --channel feishu --target "$FEISHU_SSQ_GROUP_ID" --message ""
    - Authentication is handled by OpenClaw's platform-level Feishu configuration — no extra tokens needed. - If FEISHU_SSQ_GROUP_ID is not set, output the report directly in the current chat session.

    ⚙️ Configuration

    | Variable | Required | Description | |---|---|---| | FEISHU_SSQ_GROUP_ID | No | Feishu group ID for report delivery |