Getting Started | Use Cases | API Reference | OWM Framework | Limitations | 中文版
Your trading AI has amnesia. And regulators are starting to notice.
It makes the same mistakes every session. It can't explain why it traded. It forgets everything when the context window ends. Meanwhile, MiFID II is raising the bar for algorithmic decision documentation (Article 17). The EU AI Act demands systematic logging of AI actions (Article 14). Your competitors' agents are learning from every trade.
The AI trading stack is missing a layer. Every MCP server handles execution — placing orders, fetching prices, reading charts. None handle memory.
Your agent can buy 100 shares of AAPL but can't answer: "What happened last time I bought AAPL in this condition?"
TradeMemory is the memory layer. One pip install, and your AI agent remembers every trade, every outcome, every mistake — with SHA-256 tamper-proof audit trail.
Used in production by traders running pre-flight checklists before every position, and by EA systems logging thousands of decisions daily.
