Read the global crypto market from its original source
Distinguish provider-wide statistics from our loaded asset selection and inspect units, original shares and time.
1. Distinguish global coverage from the selected 250 assets
From the main crypto market overview, open Global indicators. The full source view uses a separate CoinGecko /global response. Its market cap, volume and shares are not a sum of our 250-asset table. Coverage follows the assets and exchanges tracked by the provider; it does not establish complete coverage of every asset or trade worldwide. Counts are original source statistics, rather than the number of items on this page.
2. Read market cap and volume in their own units
The main cards retain original market cap and rolling 24-hour volume in USD. Complete source currency maps have separate rows with original keys and availability; they are not converted with a custom exchange rate. They measure different things and are not added together. The reported volume is not repaired from Bitcoin prices or our exchange tables. The source 24-hour volume change is not a price return. Cards may round values; the exact string remains in the source view and exports.
3. Shares are original percentages, rather than a new pie
BTC, ETH and other keys have provider-supplied market-cap percentages. The chart retains each percentage, fills no remainder to 100% and invents no Others category. Keys are labels in this source field; they are not automatically verified token or trading-pair identities. No change in share is inferred from an earlier capture.
4. Distinguish provider time, capture time and missing data
The provider updated_at is converted from its original Unix seconds to UTC. Response capture is a separate time; refreshing the page does not replace the provider timestamp. An absent field, explicit null and supplied zero remain distinct. A failed refresh may retain the previous capture with its original time. A single overview does not create a historical curve.
This is a guide to Datisto. Private features require sign-in and access to your own data. Personal models use your assumptions; availability and permitted use of source data are checked with the particular result. This is not investment advice.