risk-calculator

Quantify portfolio risk and guide position sizing for trading portfolios.

125|865|Updated Jun 5, 2026
One-click install
npx skills add https://github.com/Signal-Execution-Labs/forex-trading-ai-agent --skill risk-calculator-signal-execution-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: risk-calculator
Source: https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/risk-calculator
Command: npx skills add https://github.com/Signal-Execution-Labs/forex-trading-ai-agent --skill risk-calculator-signal-execution-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps traders quantify portfolio risk, optimize position sizing, and understand exposure to drawdowns, improving decision making under volatility.

Core Features & Use Cases

  • VaR and CVaR calculations, drawdown monitoring, and volatility analysis for risk-aware trading.
  • Position sizing using fixed fractional risk, Kelly criterion, and leverage-aware strategies.
  • Correlation and diversification insights to optimize asset allocation across a portfolio.

Quick Start

Run a risk analysis on my current positions.

Frequently Asked Questions about risk-calculator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate portfolio VaR and monitor drawdown for mixed-asset portfolios?

Position sizing for trading portfolios is calculated using fixed fractional risk, Kelly criterion, and leverage-aware strategies. By analyzing historical returns and asset correlations, the skill outputs sizing recommendations that balance risk exposure across equity and crypto portfolios.

Can I use volatility analysis and correlation insights to optimize crypto and equity asset allocation?

Volatility analysis and correlation insights directly support optimizing asset allocation across mixed-asset portfolios. By evaluating historical returns and cross-asset correlations, the skill identifies diversification opportunities and generates alerts to improve risk-aware trading decisions.

What's the best way to stress-test portfolio risk and quantify exposure to drawdowns?

Stress-testing portfolio risk and quantifying drawdown exposure is best achieved by applying configurable inputs like positions and historical benchmarks to scenario models. The skill evaluates volatility and correlation to produce risk metrics and alerts for decision making under volatility.

Does portfolio risk analysis require specific benchmark data to calculate Sharpe ratio and CVaR?

Portfolio risk analysis for Sharpe ratio and CVaR calculations requires configurable inputs including positions, historical returns, and benchmarks. Providing accurate benchmark data allows the skill to produce precise risk metrics, drawdown monitoring, and volatility analysis for equity and crypto portfolios.