Tradememory Bridge
Skill Verified ActiveBridge between Binance trading events and TradeMemory Protocol. Automatically journals trades, recalls similar past setups, detects behavioral biases, and provides outcome-weighted recall for AI trading agents. Use this skill after executing Binance spot trades to build persistent memory.
To equip AI trading agents with a robust memory system, allowing them to learn from past trades, improve decision-making, and maintain discipline by recalling historical patterns and detecting biases.
Features
- Automatically journal executed Binance spot trades.
- Recall similar past trading setups based on market conditions.
- Detect and report on behavioral biases like overtrading.
- Provide outcome-weighted recall for AI trading agents.
- Track strategy performance and agent state (drawdown, confidence).
Use Cases
- Use after executing a Binance spot trade to record its details and outcomes.
- Before entering a new trade, recall similar past setups to inform the decision.
- Periodically review agent state to manage risk and prevent overtrading.
- Analyze historical trading behavior to identify and correct biases.
Non-Goals
- Executing trades on Binance or any exchange.
- Managing user funds or API keys.
- Providing real-time market data feeds (relies on other skills for this).
- Replacing the core AI trading strategy logic.
Installation
npx skills add mnemox-ai/tradememory-protocolRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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