A large part of a year’s performance often comes from a small number of extreme days, while the rest of the year contributes little or even detracts. Traditional price charts hide this concentration and make returns appear smoother than they actually are.
This visualization makes return concentration explicit.
What you’re looking at
You are looking at a calendar-style heatmap of daily returns for a selected asset and year.
This does not imply you can predict best or worst days The analysis is retrospective.
Avoiding bad days also means risking missing good days They often cluster together.
High concentration does not mean a broken market It is a structural feature of volatile assets.
The value is in understanding fragility, not designing perfect timing strategies.
When to use and when not to use
Most useful for
studying timing risk in crypto
understanding volatility clustering
comparing different years or assets
explaining why “buy and hold” feels emotionally hard
stress-testing assumptions about market exposure
Not suitable for
short-term trading signals
predictive strategies
analysis without broader market context
Key takeaways
A small number of days often drive yearly returns
Missing those days can flip outcomes entirely
Volatility concentrates both risk and opportunity
Timing matters more than intuition suggests
How to use
Selecting asset and year
Choose an asset and a specific calendar year to analyze daily returns in a calendar heatmap. You can switch between assets (and portfolios, if available) to compare how different markets behaved in the same year.
Each year tells a different story — results are highly regime-dependent.
Highlighting best or worst days
Use the controls to:
toggle between best and worst days
choose how many days to highlight (top/bottom X)
Highlighted cells are emphasized in the heatmap and used in the return decomposition.
Reading the heatmap
Darker colors indicate larger moves
Clusters reveal periods of elevated volatility
Isolated extremes often reflect one-off shocks or news-driven moves
