Calculate portfolio risk metrics including VaR, Sharpe ratio, and position sizing.
npx skills add https://github.com/kayzaa/k.i.t.-bot --skill risk-calculator
Please help me install this Agent Skill. Skill: risk-calculator Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/skills/risk-calculator Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill risk-calculator
This Skill provides in-depth analysis of your trading portfolio's risk, helping you understand potential losses, optimize position sizes, and make more informed trading decisions.
Run a full portfolio risk analysis using the risk calculator.
High-intent search queries and answers about installing and using this skill.
Portfolio risk analysis calculates metrics like Value at Risk and Sharpe ratio by running statistical computations on your asset data. It evaluates potential losses and risk-adjusted returns to support quantitative trading strategies.
Determining optimal position sizing involves calculating appropriate trade sizes based on your risk tolerance and asset volatility. Methods like the Kelly Criterion and fixed risk percentage help prevent over-exposure by aligning trade sizes with your portfolio's risk parameters.
Correlation analysis improves diversification by measuring how assets in your portfolio move together. Understanding these statistical relationships helps you construct a portfolio with lower correlated assets, reducing overall risk exposure during market fluctuations.
Yes, quantitative risk analysis requires numpy, pandas, and scipy for statistical computations and data manipulation. These libraries provide the foundational mathematical operations needed to calculate financial risk metrics and process portfolio data.
Yes, you can calculate Conditional VaR and Maximum Drawdown alongside standard risk metrics. These advanced calculations assess the expected loss beyond the VaR threshold and the largest peak-to-trough decline, providing deeper insight into portfolio risk.
Statistical risk management models rely on historical data and probability assumptions, meaning they cannot predict unprecedented market events. Metrics like VaR and Sharpe ratio should guide trading decisions rather than guarantee future performance.
mahmoud20138Compare realized and implied volatility to produce IV rank, vol cones, term structure, and VRP signals.
casmidiGenerate portfolio allocations and position sizes with risk modifiers and exposure limits.
Starchild-ai-agentBuild and execute backtests against historical market data to validate trading strategies.
JoelLewisEstimate portfolio losses using Value-at-Risk, Expected Shortfall, and stress testing.
