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
Trailing Stop Strategies
Trailing stop strategies dynamically adjust your stop-loss level as a trade moves in your favour, locking in progressively more profit while still giving the trade room to develop. Unlike fixed stops, trailing stops adapt to market volatility and price action, allowing traders to capture the majority of a trend move without exiting prematurely on normal pullbacks.
Risk-Reward Ratios
The risk-reward ratio (R:R or RRR) compares the potential loss (distance to stop loss) to the potential gain (distance to target) for each trade. A 1:2 R:R means you risk $1 to potentially make $2. By maintaining favourable risk-reward ratios, a trader can be profitable even with a win rate below 50%.
Sharpe & Sortino Ratios
The Sharpe ratio measures risk-adjusted return by dividing excess return (above the risk-free rate) by the standard deviation of returns. The Sortino ratio improves on Sharpe by penalising only downside deviation, recognising that upside volatility is desirable. Both ratios help traders compare strategies on a level playing field and identify which approaches deliver the best returns for their level of risk.
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.