CorrelationMapfield notes on Solana price moves
entry · live · Solana price correlations

Who moves with whom?

The largest Solana tokens measured against one another and against SOL, from actual price candles. Red cells climb and slide together; blue cells drift in opposite directions. Tap a cell to lay both price lines over each other.

Fig. 1 correlation grid, similar movers placed side by side
Fetching candles for about 25 tokens…
Pair
Pick any cell on the grid.
−1 mirror image+1 same steps
Fig. 2 how hard each token swings when SOL does

Beta = the typical move for a 1% move in SOL (bar runs 0 to 3, red tick at 1×). ρ is the correlation, i.e. how dependably it happens.

Families neighbours on the grid averaging 0.6 or higher
Working the arithmetic, nothing hidden

Raw readings

Closes come from Jupiter's open chart feed: 15-minute bars for 24h, hourly bars for 7d, 4-hour bars for 30d. Every token is lined up on one common clock; a gap with no trades reuses the previous price. Anything covering under 60% of that clock is dropped and named under the grid.

Correlation and beta

Each step becomes a log return, then a Pearson correlation is taken for every pair. Beta against SOL is cov(token, SOL) ÷ var(SOL). Two things moving together does not mean one drives the other, and short samples wobble: the 24h view rests on just 95 returns.

Seating order

Rows are arranged by average-linkage hierarchical clustering with distance = 1 − correlation, which pulls look-alike tokens next to each other so red blocks form.

Who is measured

A standing list of established names (JUP, BONK, WIF, JTO, PYTH, RAY, ORCA, PENGU and more) plus anything over $40M market cap on Jupiter's 24h most-traded list. Stablecoins, staked-SOL tokens and tokenised shares are left out. Use the box at the top to include any other mint.