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DLT大乐透预测 v4.0

Name: DLT大乐透预测 v4.0
Author: lovensr

作者 loveNsr · GitHub ↗ · v4.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install dlt-lottery-prediction

功能描述

基于2853期历史数据，结合五池加权采样与博弈论遗传算法，生成符合多重约束的DLT复式及单式投注号码预测。

使用说明 (SKILL.md)

DLT大乐透预测技能 v4.0

简介

DLT大乐透智能预测系统 v4.0。五池采样（热号/冷号/均衡/趋势/质数）+ 博弈论遗传算法融合 + 约束满足引擎，支持前后区复式投注生成，池级别回测全部跑赢随机基准。

数据源: 2853期历史开奖记录（7001期～26035期）

核心功能

1. 五池加权融合采样

🔥 热号池（高频出现的号码）
❄️ 冷号池（长期未出现的号码）
⚖️ 均衡池（出现频率接近平均值的号码）
📈 趋势池（近期出现频率上升的号码）
🧬 质数池（数学上具有特殊性质的号码）

前后区各有独立的五个池，共计10个池生成器。

2. 博弈论遗传算法融合

博弈论输出层：纳什均衡优化多策略输出
遗传算法：全局优化号码组合适应度
适应度函数综合考虑号码频率、遗漏值、奇偶比、和值

3. 约束满足引擎

唯一性约束：每注内号码不重复
范围约束：前区1-35，后区1-12
格式约束：5+2标准注
数学关系约束：和值、AC值、跨度限制

4. 复式投注生成

支持12种复式投注方案：

前区：6+4 / 7+4 / 8+4 / 9+4
后区：4+2 / 4+3 / 4+4

5. 池级别回测

对每个池独立进行历史回测，验证策略有效性。v4.0回测结果：5个池在428期验证集上全部跑赢随机基准。

使用方法

import sys
sys.path.insert(0, '/home/claw/.openclaw/workspace/skills/dlt_lottery_prediction')

from dlt_fusion_complete import DLTFusionComplete

# 初始化
fusion = DLTFusionComplete()

# 预测（返回单式+复式）
result = fusion.predict(include_compound=True)
print(result['single_bets'])    # 4注单式
print(result['compound_bets'])  # 12种复式

# 回测验证
bt = fusion.backtest(n_recent=100)
print(bt['pool_performance'])

技术指标

指标	数值
历史数据	2853期
数据范围	7001期 ~ 26035期
前区范围	1-35
后区范围	1-12
复式方案	12种
回测基准	全部跑赢随机

文件结构

dlt_lottery_prediction/
├── dlt_fusion_complete.py      # 主入口（DLTFusionComplete类）
├── dlt_five_pool_fusion.py     # 五池融合
├── dlt_five_pool_sampler.py    # 五池采样器
├── five_pool_sampler_complete_final.py  # 最终采样器（757行）
├── dlt_constraint_engine.py     # 约束引擎
├── strategy_fusion_engine.py    # 策略融合引擎
└── SKILL.md                    # 本文档

版本历史

v4.0 (2026-04-06): 完整重构，新增12种复式投注，博弈论输出层，五池独立回测
v3.1: 多维度策略融合引擎
更早版本: 基础预测功能

安全使用建议

This package appears coherent for its stated purpose and does not request secrets or external installs. Before running it: (1) review the remaining truncated files for any network calls (requests, urllib, sockets), subprocess usage (os.system, subprocess), or reading of arbitrary filesystem paths; (2) run the code in a sandbox or isolated environment if you are unsure of origin; (3) inspect any included data files (dlt_skill_config.json or historical draws) to confirm they are benign; (4) be aware this is a prediction/gambling tool — it may have legal or ethical considerations in your jurisdiction. If you want, I can scan the omitted files for network I/O, subprocess invocation, or credential access.

功能分析

Type: OpenClaw Skill Name: dlt-lottery-prediction Version: 4.0.0 The skill bundle implements a highly complex lottery prediction system using various statistical and machine learning models. While no overt malicious intent (such as data exfiltration or credential theft) was found, the code contains several high-risk technical patterns. Specifically, 'dlt_lottery_skill.py' uses the 'exec()' function to dynamically import modules from a list, which is a dangerous coding practice. Furthermore, multiple files (e.g., 'dlt_lottery_skill.py', 'dlt_predictor_upgraded.py', and 'strategy_fusion_engine.py') rely on hardcoded absolute file paths to a specific local directory ('/mnt/d/cp/DLT历史数据_适配模型版.xlsx'), which is unusual for a portable skill and suggests a non-standard execution environment. These vulnerabilities and risky capabilities warrant a suspicious classification despite the lack of clear evidence of malice.

能力评估

✓ Purpose & Capability

The name/description (DLT lottery prediction) matches the provided files and runtime instructions. The codebase contains sampler, fusion, constraint, and optimizer modules appropriate for generating and backtesting lottery combinations. No unrelated credentials, system paths, or external services are requested in the manifest or SKILL.md.

ℹ Instruction Scope

SKILL.md instructs local import and running of the DLTFusionComplete API (predict and backtest). The instructions reference inserting a path to the skill workspace (typical for local skill usage). The visible code snippets operate on local historical draws and perform CPU-bound computations (sampling, GA, scoring). However multiple files were truncated in the provided package listing — those omitted files should be reviewed for any instructions that read unrelated user files, access environment variables, or make network requests.

✓ Install Mechanism

No install spec is present (instruction-only install), and the package ships source files that will run under the agent's Python environment. There are no downloads from external URLs, no brew/npm installs, and no extract operations declared.

✓ Credentials

The skill declares no required environment variables, credentials, or config paths. The shown code operates on in-repo/local historical data and algorithmic logic; there is no apparent need for secrets or external service credentials.

✓ Persistence & Privilege

The skill does not request always:true and uses default invocation semantics. There are no instructions in SKILL.md to modify other skills or system-wide agent settings. The package manipulates sys.path inside its code to ensure local imports, which is common for in-repo Python packages.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install dlt-lottery-prediction
安装完成后，直接呼叫该 Skill 的名称或使用 /dlt-lottery-prediction 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v4.0.0

DLT大乐透预测技能 v4.0 is a major update with enhanced prediction strategies and system features. - Complete refactor of the prediction engine and codebase structure. - Added 12 types of compound (复式) bet generation options. - Introduced five separate weighted number pools (hot, cold, balanced, trending, prime). - Integrated game-theory (Nash equilibrium) and genetic algorithm fusion for enhanced combination optimization. - Enhanced constraint engine ensures valid number combinations and new mathematical constraints. - Added independent backtesting functionality for each pool, all outperforming the random baseline. - Updated documentation and file organization.

元数据

Slug dlt-lottery-prediction

版本 4.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题