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PythonReactSEOPDF

Rachnog AI Skills

GitHub ↗

Explorez les skills IA publiés de Rachnog et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

5

Étoiles des dépôts des skills indexés

10

Forks du dépôt

0

Moyenne des étoiles par skill indexé

2

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

5 skills

Explorer

GitHub

portfolio-comparison

Rachnog

Compare different portfolio optimization approaches and present trade-offs. Use when the investor wants to see multiple options or understand alternatives.

GitHub

optimization-execution

Rachnog

Execute portfolio optimization using Mean-Variance Optimization (MVO) or Hierarchical Risk Parity (HRP). Use when constructing optimal portfolio weights from a set of assets.

GitHub

backtesting

Rachnog

Backtest portfolio performance using historical data. Use when validating portfolio strategy with historical returns, calculating realized metrics, and stress testing.

GitHub

risk-assessment

Rachnog

Assess portfolio risk using volatility, drawdown, and other risk metrics. Use when evaluating the risk characteristics of a portfolio or comparing risk profiles.

GitHub

universe-selection

Rachnog

Select appropriate asset universes for portfolio construction based on investor profile, risk tolerance, and investment goals. Use when determining which assets to include in a portfolio.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.