开源自动化实验

AI Trading Lab

一个公开的 AI 辅助实盘交易自动化实验:关注交易所端风控、每日复盘、策略演化和系统可靠性。 这不是“自动赚钱机器人”,而是一个高风险自动化系统的可靠性实验室。

状态

实盘自动化实验

当前运行细节记录在已提交的每日复盘报告里。

核心重点

风控优先

止损、止盈、亏损上限、熔断开关,以及交易所端保护单。

透明记录

每日复盘

日期化 markdown 报告、策略档案,以及可复现的交易日志。

它和普通 trading bot 仓库有什么不同

大多数 bot 仓库只展示一条收益曲线。

这个仓库保留运行历史:bot 做了什么、为什么交易或空仓、哪里失败、修了什么。

保护单挂在交易所。

止损/止盈通过 Binance algo-order 端点族下单,不只是 Python 内存里的一句 if 判断。

系统流程

市场
数据
策略
引擎
风控
管理
执行
报告 +
复盘

为什么值得 Star

  • 真实世界里的 AI Agent 自动化实验
  • 交易系统风控设计
  • 交易所端保护单工程实践
  • 公开记录失败和复盘
免责声明:本项目仅用于工程研究和教育展示,不构成金融建议、投资建议、交易建议、信号服务或任何形式的收益承诺。数字资产合约和杠杆交易风险极高,可能导致本金全部损失。
Open-source automation experiment

AI Trading Lab

A public experiment in AI-assisted live trading automation, exchange-side risk protection, daily postmortems, and strategy evolution. Not a get-rich bot — a reliability lab for high-risk automation.

Status

Live automation experiment

Current operational details are tracked in committed daily reports.

Primary focus

Risk control

Stop-loss, take-profit, loss caps, kill-switch, and exchange-side protection.

Transparency

Daily reports

Dated markdown reports, strategy archive, and reproducible trade logs.

What makes it different

Most bot repos show a curve.

This repo keeps operational history: what the bot did, why it traded or stayed idle, what failed, and which fixes landed.

Stops live on the exchange.

Protective orders are placed through Binance's algo-order endpoint family, so protection is not only an in-memory Python if-statement.

System flow

Market
Data
Strategy
Engine
Risk
Manager
Execution
Layer
Reports +
Postmortems

Good reasons to star

  • AI agents in real-world automation
  • Trading-system risk controls
  • Exchange-side protective order patterns
  • Transparent failure postmortems
Disclaimer: This project is for education and engineering research only. It is not financial advice, investment advice, a signal service, or a recommendation to trade. Cryptocurrency futures and leverage are extremely risky and may result in total loss of capital.