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 |
|---|
| INLINECODE2 | 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:
CODEBLOCK1
- 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 "<report>"
- 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.
技能名称: ssq-prediction
详细描述:
双色球预测 (SSQ)
本技能通过上下文相关量子贝叶斯网络(CQ-BN)模型模拟,自动预测双色球彩票号码。
依赖项
- - openclaw CLI:用于飞书消息投递。由OpenClaw平台自身提供。
- 飞书认证:本技能使用OpenClaw现有的飞书集成(已在平台层面配置)。无需额外凭证或令牌。
- FEISHUSSQGROUP_ID (可选):设置此环境变量为目标飞书群组ID,以启用自动投递。若未设置,报告将直接输出在当前聊天会话中。
配置
| 变量 | 必填 | 描述 |
|---|
| FEISHUSSQGROUP_ID | 否 | 用于报告投递的飞书群组ID |
工作流程
- 1. 数据获取
- 从以下地址获取最近200期双色球历史数据:
https://datachart.500.com/ssq/history/newinc/history.php?start=24001&end=24200
- 动态调整start和end参数,以获取最近200期数据。
- 2. 模型执行(CQ-BN模拟)
-
上下文:你是一位正在构建数学模型的量子物理学家。
-
逻辑:
-
干涉项:计算红球之间的相长干涉区域。
-
希尔伯特空间映射:将红球(1–33)映射到希尔伯特空间;识别高能势阱。
-
相位坍缩:预测下一期概率波的坍缩点。
-
优化:
- 生成初始
Top 20组合。
- 分析Top 20中号码的出现频率,找出共振集合(出现频率最高的号码)。
- 重新组合高频号码,形成最终
Top 10。
- 3. 输出格式
生成具有以下结构的报告:
【 🔔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. 投递
- 如果设置了FEISHU
SSQGROUP_ID,则通过OpenClaw内置的飞书集成将报告发送至该飞书群组:
bash
openclaw message send --channel feishu --target $FEISHU
SSQGROUP_ID --message
- 认证由OpenClaw平台层面的飞书配置处理——无需额外令牌。
- 如果未设置FEISHUSSQGROUP_ID,则直接在当前聊天会话中输出报告。