High-risk tools in Pypi:tradememory Protocol
3 of the 15 tools in Pypi:tradememory Protocol are classified as high risk. This page profiles those tools specifically, with recommended policy actions and the attack patterns that target them.
Every operation listed below is an action PolicyLayer recommends controlling at the transport layer. Open any tool to see the full profile, risk score, and YAML policy snippet.
Tools at high risk
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evolution_evolve_strategyExecuteRun full evolution loop — generate, backtest, select, eliminate. Multi-generation strategy evolution: generates candidate patterns via LLM, backtests on in-sample data, validat...
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evolution_run_backtestExecuteBacktest a candidate pattern against historical OHLCV data. Takes a pattern dict (from discover_patterns) and runs a vectorized backtest. Returns fitness metrics: Sharpe ratio,...
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store_trade_memoryExecuteStore a trade decision with full context into memory. Call this after executing a trade to build your memory bank. Include market_context and reflection for better recall later...
Attacks that target this class
High-risk tools in any server share these documented attack patterns. Each links to the full case and the defensive policy.