Skill #84: Risk Parity Balancer
SkillCommerce & financeAllocates portfolio weights based on risk contribution rather than capital weights. Each asset contributes equally to total portfolio risk.
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Then ask your AI: use the Skill #84: Risk Parity Balancer skill
About this capability
About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
What this skill tells your AI
The instructions your AI receives, as published by signal-execution-labs/forex-trading-ai-agent in skills/risk-parity-balancer/SKILL.md and read by ahel’s review.
Allocates portfolio weights based on risk contribution rather than capital weights. Each asset contributes equally to total portfolio risk.
Why Risk Parity?
Traditional portfolios (60/40 stocks/bonds) are dominated by stock risk:
- 60% stocks = ~90% of portfolio risk
- 40% bonds = ~10% of portfolio risk
Risk parity ensures each asset contributes equally to volatility.
Features
Core Functionality
- Equal Risk Contribution (ERC): Each asset contributes 1/N of total risk
- Inverse Volatility: Weight inversely proportional to volatility
- Correlation-Aware: Accounts for asset correlations via covariance matrix
- Leverage Targeting: Optional leverage to hit target volatility (e.g., 10%)
Supported Modes
| Mode | Description | Use Case |
|---|---|---|
inverse-vol | 1/volatility weighting | Simple, correlation-agnostic |
erc | Equal Risk Contribution | Full covariance optimization |
hierarchical | Hierarchical Risk Parity (HRP) | Handles instability in correlation |
minimum-variance | Min variance portfolio | Risk minimization |
Risk Metrics Calculated
- Individual asset volatility (rolling window)
- Correlation matrix (Pearson, Spearman, or shrunk)
- Marginal Risk Contribution (MRC) per asset
- Risk Contribution (RC) as percentage
- Portfolio Sharpe ratio (pre/post rebalance)
Usage
kit skill risk-parity-balancer --assets BTC,ETH,SOL,USDC --mode erc
kit skill risk-parity-balancer --portfolio my-crypto --target-vol 12
kit skill risk-parity-balancer --lookback 90d --rebalance weekly
Parameters
| Parameter | Default | Description |
|---|---|---|
--assets | - | Comma-separated asset list |
--portfolio | - | Portfolio ID to rebalance |
--mode | erc | Weighting mode (inverse-vol, erc, hrp, min-var) |
--lookback | 60d | Volatility/correlation lookback period |
--target-vol | - | Target annual volatility (enables leverage) |
--max-leverage | 3.0 | Maximum leverage allowed |
--min-weight | 0.02 | Minimum weight per asset (2%) |
--max-weight | 0.40 | Maximum weight per asset (40%) |
--rebalance | manual | Rebalance frequency (daily, weekly, monthly) |
--correlation | pearson | Correlation method |
Example Output
🎯 Risk Parity Analysis
Assets: BTC, ETH, SOL, USDC
Mode: Equal Risk Contribution (ERC)
Lookback: 60 days
📊 Current Allocation:
Asset Weight Vol(ann) Risk Contrib
BTC 40.0% 65% 58.2% ⚠️
ETH 30.0% 75% 31.5%
SOL 20.0% 95% 9.8%
USDC 10.0% 0.1% 0.5%
📐 Risk Parity Weights:
Asset New Weight Risk Contrib Change
BTC 18.5% 25.0% -21.5%
ETH 15.2% 25.0% -14.8%
SOL 8.3% 25.0% -11.7%
USDC 58.0% 25.0% +48.0%
📈 Portfolio Impact:
Before: 52% annual vol, Sharpe 0.85
After: 15% annual vol, Sharpe 1.42 (+67%)
Algorithm
Equal Risk Contribution (ERC)
Objective: Minimize difference in risk contributions:
min Σᵢ Σⱼ (wᵢ(Σw)ᵢ - wⱼ(Σw)ⱼ)²
Subject to:
- Σwᵢ = 1 (or leverage target)
- wᵢ ≥ min_weight
- wᵢ ≤ max_weight
Where:
wᵢ= weight of asset iΣ= covariance matrix(Σw)ᵢ= marginal risk contribution of asset i
Hierarchical Risk Parity (HRP)
- Calculate correlation matrix
- Apply hierarchical clustering (dendrogram)
- Quasi-diagonalize matrix
- Recursive bisection for weights
- Apply constraints
Integration
With Other Skills
- #43 Momentum Ranking: Filter assets before risk parity
- #51 Trailing Grid: Use risk parity for grid sizing
- #56 Tax Calculator: Optimize for tax-efficient rebalancing
- #21 DeFi Yield: Include yield in return estimates
Auto-Rebalance Hook
// hooks/risk-parity-rebalance.js
module.exports = {
name: 'risk-parity-rebalance',
events: ['scheduler.daily'],
async handler(event, context) {
const weights = await context.skill('risk-parity-balancer', {
portfolio: 'main',
mode: 'erc',
threshold: 0.05 // 5% drift trigger
});
if (weights.needsRebalance) {
await context.trading.rebalance(weights.orders);
await context.notify(`Rebalanced: ${weights.summary}`);
}
}
};
References
- Maillard, Roncalli, Teïletche (2010): "The Properties of Equally Weighted Risk Contribution Portfolios"
- De Prado (2016): "Building Diversified Portfolios that Outperform Out of Sample"
- Roncalli (2013): "Introduction to Risk Parity and Budgeting"
Related Skills
- #15 Risk Manager: Sets overall risk limits
- #17 Portfolio Allocator: Capital-weighted allocation
- #44 Correlation Analyzer: Deep dive into correlations
- #83 Deal Manager: Manages individual position sizing
Signals
- GitHub stars
- 136
- Forks
- 870
- Last commit
- Sep 2026
Advanced
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risk-parity-balancer- Source
- github.com/signal-execution-labs/forex-trading-ai-agent