trader-portfolio
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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name trader-portfolio description Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan allowed-tools Bash Read mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search argument-hint [--risk-target NUMBER] Optimize portfolio allocation using neural-trader's portfolio engine. Steps: Ensure neural-trader is available: npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader Load current portfolio: mcp__plugin_ruflo-core_ruflo__memory_search({ query: "current portfolio holdings", namespace: "trading-portfolio" }) Run portfolio optimization: npx neural-trader --portfolio optimize With risk target: npx neural-trader --portfolio optimize --risk-target <number> Get risk metrics: npx neural-trader --risk assess --portfolio current npx neural-trader --var --portfolio current npx neural-trader --correlation --portfolio current --flag-threshold 0.8 Use SONA for expected return prediction: mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "expected returns for [HOLDINGS] given current regime" }) Generate rebalancing plan: npx neural-trader --portfolio rebalance Output: trades needed, current vs target weights, estimated costs Search for similar allocations in history: mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search({ query: "optimized portfolio Sharpe > 1", namespace: "trading-portfolio" }) Store optimized allocation: mcp__plugin_ruflo-core_ruflo__memory_store({ key: "portfolio-optimal-TIMESTAMP", value: "ALLOCATION_JSON", namespace: "trading-portfolio" })
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| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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