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From hyrex-neural-trader
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
npx claudepluginhub akhilyad/deployy --plugin hyrex-neural-traderHow this skill is triggered — by the user, by Claude, or both
Slash command
/hyrex-neural-trader:trader-portfolio [--risk-target NUMBER][--risk-target NUMBER]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Optimize portfolio allocation using neural-trader's portfolio engine.
Guides technical evaluation of code review feedback: read fully, restate for understanding, verify against codebase, respond with reasoning or pushback before implementing.
Share bugs, ideas, or general feedback.
Optimize portfolio allocation using neural-trader's portfolio engine.
Steps:
npm ls neural-trader 2>/dev/null || npm install neural-tradermcp__hyrex__memory_search({ query: "current portfolio holdings", namespace: "trading-portfolio" })npx neural-trader --portfolio optimize
npx neural-trader --portfolio optimize --risk-target <number>
npx neural-trader --risk assess --portfolio current
npx neural-trader --var --portfolio current
npx neural-trader --correlation --portfolio current --flag-threshold 0.8
mcp__hyrex__neural_predict({ input: "expected returns for [HOLDINGS] given current regime" })npx neural-trader --portfolio rebalance
mcp__hyrex__agentdb_pattern-search({ query: "optimized portfolio Sharpe > 1", namespace: "trading-portfolio" })mcp__hyrex__memory_store({ key: "portfolio-optimal-TIMESTAMP", value: "ALLOCATION_JSON", namespace: "trading-portfolio" })