Correlation Deep-Dive
The Correlation module lets you analyze any specific asset pair in detail — with rolling history, strength labels, and a shareable image card.
Pair Selector
Choose any two assets from the dropdowns at the top. The module instantly computes and displays:
The current Pearson correlation (large number, color-coded)
A rolling correlation chart showing how the relationship evolved over time
A strength label (Very Strong / Strong / Moderate / Weak / Uncorrelated)
Individual sparklines for both assets
Correlation History Chart
The rolling chart plots the Pearson value computed at each tick as more data accumulates — starting from tick 4 (minimum for a valid correlation) through the full 200-tick window.
This lets you see:
Is the correlation stable or noisy?
Did it recently flip from positive to negative?
Is it converging toward a strong signal?
Strength Scale
Very Strong +
> +0.80
Assets move almost in lockstep
Strong +
+0.50 to +0.80
Clear positive relationship
Moderate +
+0.30 to +0.50
Moderate positive tendency
Uncorrelated
−0.30 to +0.30
No significant linear relationship
Moderate −
−0.50 to −0.30
Moderate inverse tendency
Strong −
−0.80 to −0.50
Clear inverse relationship
Very Strong −
< −0.80
Assets move in opposite directions
Share Card
Click the Share button to generate a 1200×1200 PNG image card containing:
Asset pair symbols (color-coded)
Large correlation number
Color-coded correlation bar (−1 to +1)
Strength label
LIVE · PYTH ORACLEbadgepythcorrelation.comattribution
The card is ready to download and post on X/Twitter.
Use Cases
Pair trading — identify pairs that historically move together
Hedging — find inverse correlations for portfolio protection
Regime monitoring — watch if BTC/gold correlation is rising (risk-off signal)
Content creation — share correlation snapshots with your audience
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