A correlation chart describes how selected returns moved together in a chosen sample. It does not show that one market caused the other or that the relationship will persist.
Follow the evidence
Trace how the event could reach markets, then inspect a competing explanation.
Compare explanations
Switch lenses to see what each account explains—and what remains uncertain.
Interest-rate expectations, funding conditions and broad risk appetite may influence several asset classes at once. A shared response can create co-movement without a direct causal link between one token and one currency. Compare the relationship against other measures and across more than one market regime. Look for periods when the correlation breaks; those exceptions often reveal which driver mattered most.
Interest-rate expectations, funding conditions and broad risk appetite may influence several asset classes at once. A shared response can create co-movement without a direct causal link between one token and one currency. Compare the relationship against other measures and across more than one market regime. Look for periods when the correlation breaks; those exceptions often reveal which driver mattered most.
Ask whether the observation is robust to another window, whether prices are aligned in time and whether an outlier dominates the result. Record the method before drawing a conclusion from the chart. Correlation can help describe a market environment. It cannot by itself establish causation, identify a hedge or predict where either market will move next.
A statistic depends on the sample and return definition
A rolling correlation changes with the lookback period, sampling frequency and return calculation. A daily series can hide intraday dislocations, while a short window can make a temporary relationship look more stable than it is.
Check which crypto venue, FX pair, quote currency and timestamp convention are used. A weekend crypto move may have no matching FX observation until the next business session.
Global risk and dollar conditions can affect both markets
Interest-rate expectations, funding conditions and broad risk appetite may influence several asset classes at once. A shared response can create co-movement without a direct causal link between one token and one currency.
Compare the relationship against other measures and across more than one market regime. Look for periods when the correlation breaks; those exceptions often reveal which driver mattered most.
A correlated move does not provide a reliable entry rule
Ask whether the observation is robust to another window, whether prices are aligned in time and whether an outlier dominates the result. Record the method before drawing a conclusion from the chart.
Correlation can help describe a market environment. It cannot by itself establish causation, identify a hedge or predict where either market will move next.