mnemox-ai/tradememory-protocol
Structured 3-layer memory system (trades → patterns → strategy) for AI trading agents. Supports MT5, Binance, and Alpaca.
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Overview
Structured 3-layer memory system (trades → patterns → strategy) for AI trading agents. Supports MT5, Binance, and Alpaca.
Installation
pip install tradememory-protocol
Configuration
{
"mcpServers": {
"tradememory": {
"command": "uvx",
"args": ["tradememory-protocol"]
}
}Capabilities
- Record trades
Ask your assistant to log a trade with `remember_trade`, storing context, outcome, and confidence across five memory layers.
- Recall past outcomes
Query `recall_memories` to retrieve similar past trades weighted by outcome, context, recency, and confidence.
- Pre-trade risk gate
Run `check_trade_legitimacy` to get a full, reduced, or skip verdict before entering a position.
- Verify audit integrity
Use `verify_audit_hash` or `verify_audit_chain` to confirm no record has been tampered with.
- Export audit trail
Call `export_audit_trail` to pull bulk trade records for regulatory submission or review.
Tags
- trading
- finance
- ai-agent
- memory
- data-analysis
- awesome-list
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