Correlation-Aware Allocation
Overview
Correlation-aware allocation goes beyond simple diversification by mathematically measuring how assets move together and sizing positions accordingly. Two highly correlated positions (e.g., ES and NQ) effectively concentrate risk. By adjusting allocation based on measured correlations, traders build portfolios with better risk-adjusted returns.
Key Concepts
Pearson correlation coefficient (-1 to +1). +1 = perfectly correlated (same direction). -1 = perfectly negatively correlated. 0 = uncorrelated. Rolling correlation: measure over recent periods (30, 60, 90 days). Regime changes: correlations shift during different market environments. Cross-asset correlations: BTC/stocks, gold/real rates, USD/commodities.
Entry Signals
Reduce combined position size when trading two correlated instruments. If BTC and ETH have 0.9 correlation, treat them as ~1.8 positions, not 2.0. Include negatively correlated assets as hedges. Monitor rolling correlations to detect regime shifts.
Exit Signals
If two positions' correlation increases above 0.7, reduce combined exposure. Hedge with negatively correlated assets during uncertain periods. Reassess allocation when regime changes are detected (e.g., BTC decoupling from stocks).
Best Timeframes
Weekly review of rolling correlations. Portfolio-level application.
Pro Tips
During crises, the thing that usually saves portfolios is cash and genuinely uncorrelated assets. True decorrelation is rare — during 2020 and 2022, almost everything correlated briefly. The only true hedge is position sizing.
More Topics in This Category
Fixed-Fractional Position Sizing
Fixed-fractional position sizing risks a fixed percentage of your account on every trade (commonly 1-2%). This ensures that a string of losses reduces position sizes proportionally, protecting capital during drawdowns. It's the most widely recommended position sizing method for discretionary traders because it's simple, sustainable, and mathematically sound.
Kelly Criterion
The Kelly Criterion is a mathematical formula for determining the optimal bet size to maximise long-term growth rate. Kelly = (bp - q) / b, where b = odds received, p = probability of winning, q = probability of losing. While theoretically optimal, full Kelly is too aggressive for most traders — half-Kelly or quarter-Kelly is more practical.
Maximum Drawdown Limits
A maximum drawdown limit is a predefined loss threshold that triggers mandatory action — reducing size, stopping trading, or reviewing strategy. Common limits: daily max loss (e.g., 3%), weekly max loss (e.g., 5%), monthly max loss (e.g., 10%), and total max drawdown (e.g., 20%). Professional trading firms and prop firms enforce strict drawdown rules.
Portfolio Diversification
Portfolio diversification reduces risk by spreading capital across multiple uncorrelated or negatively correlated assets, strategies, and timeframes. True diversification requires correlation analysis — holding 10 tech stocks is not diversified. The goal is to generate returns from multiple independent sources rather than relying on a single trade or strategy.