Correlations
See how any set of symbols move together, across the timeframes you actually trade.
Why it helps
- Size correlation, don't guess it — Turns "these feel related" into a number you can act on.
- Find genuine diversifiers — Surfaces the low- and negative-correlation names a sector screen hides.
- Catch regime change — The same pair over 1M vs 1Y shows when a relationship has broken down.
How to use it
- Pick your symbols — Add tickers to the basket at the top — watchlists and index members load in one click.
- Choose the timeframe — Correlations are recomputed per window, so compare a short and a long window before concluding anything.
- Read the matrix — Deep colour is a strong relationship; near-white is independence. Negative values run the opposite way.
- Drill into a pair — Click any cell to chart the two series together and see where the relationship broke.
What's in it
- Pairwise matrix — Every combination in the basket at once, not one pair at a time.
- Multiple windows — 1M through 5Y, computed from adjusted closes.
- Colour scale — Diverging scale centred on zero so sign reads at a glance.
- CSV export — The full matrix, exactly as displayed.
FAQ
Why do two obviously-related names show a low number?
Correlation measures co-movement of returns, not price level. Two stocks can trend together for years and still have noisy day-to-day returns.
Which price does it use?
Adjusted closes, so splits and dividends do not create false moves.
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