Notre avis
Définit et maintient des garde-fous pour une politique d'investissement à long terme, assurant la discipline de portefeuille et la gestion des risques.
Points forts
- Fournit un cadre structuré pour des décisions cohérentes
- Inclut des garde-fous comportementaux
- Oblige à considérer des scénarios de perte
- Produit un document de politique réutilisable
Limites
- Suppose que l'utilisateur a défini ses objectifs et sa tolérance au risque
- Ne fournit pas de conseils d'investissement spécifiques
- Nécessite la saisie de paramètres par l'utilisateur
Quand vous avez besoin d'un cadre d'investissement discipliné à long terme pour éviter les décisions émotionnelles.
Quand vous avez besoin de conseils de trading à court terme ou de recommandations de titres spécifiques.
Analyse de sécurité
SûrThe skill is purely advisory, providing a framework and templates for investment policy creation. It does not involve any code execution, network access, or system commands, and has no risk of destructive or exfiltrating actions.
Aucun point d'attention détecté
Exemples
Help me set up a long-term investment policy for my retirement portfolio with a 20-year horizon.Define rebalancing rules for my stock and bond allocation, including trigger bands and cadence.Create a decision framework and policy checklist for adding a new asset class to my portfolio.name: managing-long-term-investment-policy description: Defines and maintains long-term investment policy guardrails. Use when the user asks for portfolio discipline, rebalancing rules, risk limits, or decision frameworks for multi-year investing.
Managing Long-Term Investment Policy
When to use this skill
- When the user wants a long-horizon investing framework.
- When decisions need consistency across market cycles.
- When emotion-driven decision risk needs guardrails.
Workflow
- Plan
- Define objective, time horizon, liquidity needs, and risk tolerance.
- Define policy structure before discussing specific securities.
- Validate
- Confirm constraints are explicit (drawdown tolerance, max position size, diversification rules).
- Confirm assumptions are realistic for the stated horizon.
- Execute
- Draft a policy checklist and decision rubric.
- Define rebalancing and monitoring cadence.
- Define "do not violate" rules.
Instructions
- Prioritize process quality over short-term prediction.
- Require decision logs for thesis changes.
- Include base rules:
- Position sizing limits
- Rebalance bands and cadence
- Thesis invalidation criteria
- Maximum leverage or debt exposure constraints
- Force pre-mortem and downside scenarios before large allocation changes.
Policy checklist
- [ ] Time horizon defined
- [ ] Risk budget defined
- [ ] Allocation rules defined
- [ ] Rebalancing rules defined
- [ ] Thesis update protocol defined
- [ ] Behavioral guardrails defined
Output template
## Long-Term Investment Policy
### Objective and Horizon
- Objective: ...
- Horizon: ...
### Risk and Allocation Rules
- Max position size: ...
- Target allocation bands: ...
- Max drawdown tolerance: ...
### Rebalancing Rules
- Cadence: ...
- Trigger bands: ...
### Thesis Governance
- Required evidence to add/increase: ...
- Invalidation triggers: ...
- Exit or reduce rules: ...
Error handling
- If objectives and risk tolerance conflict, stop and request prioritization.
- If user asks for policy-breaking action, flag violation and present compliant alternative.
- If data quality is weak, defer action and state required evidence.
Resources
valuing-companyanalyzing-macro-regimeanalyzing-business-quality
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