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
当前运行细节记录在已提交的每日复盘报告里。
核心重点
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
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
数据
引擎
管理
层
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
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
Current operational details are tracked in committed daily reports.
Primary focus
Stop-loss, take-profit, loss caps, kill-switch, and exchange-side protection.
Transparency
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
Data
Engine
Manager
Layer
Postmortems
Good reasons to star
- AI agents in real-world automation
- Trading-system risk controls
- Exchange-side protective order patterns
- Transparent failure postmortems