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mnemox-ai/tradememory-protocol

SkillsMP 已收集 mnemox-ai/tradememory-protocol 中的 6 个 Skill。打开任一 Skill 可查看来源和详情。

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已展示 6 / 6 个已收集 Skill。

职业分类
数据科学家
描述

AI trading memory with outcome-weighted recall and autonomous strategy evolution. 17 MCP tools, 1,233 tests, works with any trading platform.

原文语言:英语

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职业分类
数据科学家
描述

Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. Triggers…

原文语言:英语

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职业分类
数据科学家
描述

Validate trading strategies for overfitting using 4 statistical tests (DSR, Walk-Forward, Regime, CPCV)

原文语言:英语

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职业分类
软件开发工程师
描述

Bridge 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…

原文语言:英语

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职业分类
数据科学家
描述

Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading…

原文语言:英语

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职业分类
数据科学家
描述

Risk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or…

原文语言:英语

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已展示 6 / 6 个已收集 Skill。