Correlation

Measure of how closely two return series move together over time.

On this page

Who this is for — Traders managing multiple instruments or strategies who want to avoid duplicate exposure. Also useful for solo traders who think they are diversified but actually carry the same risk.

In plain terms — Correlation indicates how much two assets or systems move in the same direction. If they rise and fall together, real diversification is low.

Prerequisites — Complete first silver-path (min.: setup, expectancy, win-rate, sample-size). Foundation: bronze-path.

Correlation and edge construction

Two profitable strategies are not enough if they react the same way to shocks. Correlation reduces the protection you expect when systems are too similar. For this reason it must be monitored over time, not treated as a static parameter. The link between correlation and robustness shows up especially during market-regime shifts.

Example — Trading two different equity indices may look like diversification. In a risk-off phase both fall together: correlation rises and total drawdown accelerates.

Operational use in the portfolio

Lowering average correlation between components helps stabilise the equity curve. This does not eliminate losses, but improves their distribution over time. In systemic shocks correlation tends to rise, so diversified portfolios still need limits. Correlation should be read with volatility and allocated weight, not as an isolated number. In Module 2 the concept extends to system-correlation and diversification.

Card

  • What it is: degree of joint movement between two series.
  • How to use it: spread capital across different risk sources.
  • Typical mistake: assuming correlation stays stable in every regime.

Gold path — Module: Edge and statistical advantage. Part of gold-path.