The correlation matrix shows how each EGX stock moves relative to every other, computed on real historical data. Useful for any investor wanting to verify they're actually diversified — not just concentrated in correlated trades. The tool computes Pearson correlation on daily returns across 30/90/180-day windows and renders results as a color-coded matrix: red = high correlation (stocks move together), blue = inverse correlation (one hedges the other). Coverage: EGX30 + EGX70 — stocks with enough liquidity for reliable math.
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Every stock × every stock — hover any cell to see the correlation value and pair.
Isolate correlations within banking, real estate, or industrials — not everything mixed with everything.
Surfaces stocks with negative correlation so you can use them as hedges.
Own a stock? The model suggests low-correlation names to add for true diversification.
30 / 90 / 180 days — pick based on your strategy horizon.
CSV of all pairs — analyze in Excel or Python if you prefer.
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A table showing how each stock moves relative to others. Values range from -1 to +1: near +1 = stocks move together, near -1 = they move opposite, near 0 = no relationship.
If you own a stock and want to add another, look for one with low correlation (near 0 or negative) to your existing holdings. That way when one drops, the other doesn't drop as hard.
Yes. During crises, most stocks become MORE correlated — "everything falls together" — which is why diversification often fails when you need it most. The model shows 30/90/180-day windows so you can see the trend.
We cover EGX30 + EGX70 (~100 stocks) because those have enough liquidity for reliable correlation. Illiquid small-caps create noise in the math.