Volatility describes how far price tends to travel over time. The same stop distance in ticks can be “tight” in calm tape and “noisy” when funding, listings, or macro events expand ranges.
Heatmaps show history, not prophecy
A volatility heatmap ranks past movement in a chosen window. It helps you compare symbols, not predict the next minute.
Pair with event risk
Scheduled macro prints and token-unlock calendars can expand ranges quickly. Use the economic calendar for timing context.
Explore the volatility heatmap on MyCryptoCal.
Volatility as position-sizing context
When realized ranges expand, the same tick stop can behave “tighter” in practice even if the tick count is unchanged—price reaches the stop faster through noise. Volatility context helps you decide whether to widen stops, shrink size, or skip marginal setups.
Heatmaps versus your own stats
Public heatmaps summarize broad history; your journal summarizes you. Blend both: use heatmaps to ask better questions, use logs to answer them.
- Tag trades by realized range bucket if you track it.
- Compare win rate in high vs low vol weeks.
- Review slippage separately in volatile regimes.
Avoiding panic redesigns
One wild week should not rewrite a year of rules. Adjust slowly with data, not headlines alone.