trader-portfolio
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
Informations de source
- Dépôt
- ruvnet/ruflo
- Dernière activité de la source
- 17 juillet 2026 à 03:06
- Langue détectée de SKILL.md
- anglais
- Étoiles
- 73 010
- Forks
- 8 665
Options d'installation
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Vérifiez les fichiers source
Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.
Affichage de SKILL.md
SKILL.md
Instructions source · Aperçu en lecture seule- 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:
1. Ensure neural-trader is available:
`npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader`
2. Load current portfolio:
`mcp__plugin_ruflo-core_ruflo__memory_search({ query: "current portfolio holdings", namespace: "trading-portfolio" })`
3. Run portfolio optimization:
```bash
npx neural-trader --portfolio optimize
```
With risk target:
```bash
npx neural-trader --portfolio optimize --risk-target <number>
```
4. Get risk metrics:
```bash
npx neural-trader --risk assess --portfolio current
npx neural-trader --var --portfolio current
npx neural-trader --correlation --portfolio current --flag-threshold 0.8
```
5. Use SONA for expected return prediction:
`mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "expected returns for [HOLDINGS] given current regime" })`
6. Generate rebalancing plan:
```bash
npx neural-trader --portfolio rebalance
```
Output: trades needed, current vs target weights, estimated costs
7. Search for similar allocations in history:
`mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search({ query: "optimized portfolio Sharpe > 1", namespace: "trading-portfolio" })`
8. Store optimized allocation:
`mcp__plugin_ruflo-core_ruflo__memory_store({ key: "portfolio-optimal-TIMESTAMP", value: "ALLOCATION_JSON", namespace: "trading-portfolio" })`
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