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SSQ Prediction

AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sen...
AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sen...
rix-zhang rix-zhang 来源
未分类 clawhub v1.1.0 1 版本 100000 Key: 无需
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概述

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

VariableRequiredDescription
---------
FEISHU_SSQ_GROUP_IDNoFeishu 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.
  1. 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.
  1. 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。

```

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

```bash

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.

版本历史

共 1 个版本

  • v1.1.0 当前
    2026-03-31 19:31 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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