Loading daily history for a selected Binance pair
Open an exact pair from the actual spot list. Its original daily candles load automatically; inspect units, completed days and the whole export.
1. Select an actual pair in the original list
In Binance Spot, select USDT or BTC quotes, apply search and open a row detail. Review the exact native symbol, base asset and quote asset. BNBUSDT and BNBBTC are different markets; symbols are neither translated nor substituted with similar names. Original symbol characters are preserved.
Opening an actual pair automatically reads its bounded daily history. Pairs must belong to the admitted original list; browsing and searching that list do not download every pair’s history. If the list can no longer be verified, refresh it and select the pair again.
2. Read the loaded history and its input
On first opening, up to 90 days load and history appears after internal checks of the exact pair, unit, original candles and actual range. The result retains its capture time. A read may reuse an original retained response; it does not establish a new quote right now. The 7, 30 and 90-day presets directly change the local chart and table without another source request; Apply custom endpoint dates. Accept a refreshed input explicitly when already editing your own selection.
A source failure, rate limit or cancelled read does not replace the preceding dated result with demo data or another provider. Inspect its stated status; another attempt is explicit. Automatic retries and fetching all pair histories are not enabled.
3. Select completed UTC days
Choose 7, 30 or 90 days, or a custom window within the captured latest 90-day range. Both entered From inclusive and Through inclusive dates are included. The exact query uses the following UTC day as its excluded end. Explicitly apply a changed window; it changes the view of the same input without downloading again. The available end is anchored to the original capture, not today’s clock when reopened.
A day still open at capture is not a completed daily value. Its original row remains in excluded evidence. A missing day or a newer pair’s shorter history is not zero and is never filled with the last price. Inspect actual gaps and available-day counts.
4. Read price and volume in their own units
Open, High, Low and Close are native quote prices per one base unit: for example, USDT per 1 BNB or BTC per 1 TRX. USDT is not relabelled USD, and a BTC price is not a quotient of two dollar prices. Base-asset volume and quote volume are separate quantities; do not sum volumes across different pairs or quotes as one unit.
Daily history is separate from the rolling 24-hour statistics in the main table. Candle open/close times are not the last trade time, publication time or a currently executable quote. Trade count is not a count of people, and taker-buy volume does not identify buyers.
5. Inspect every original row
The chart and complete paginated table use the same applied window. Open a candle for all twelve original fields: times, OHLC, base volume, quote volume, trade count, taker-buy volumes and the uninterpreted final field. Detail preserves exact numeric strings and original order; graph display does not replace their precision.
Evidence distinguishes the pair’s original market identity from its separate history acquisition. Inspect the source URL, SHA-256, request start, completed capture and available HTTP Date. Application reuse validity is neither venue quote validity nor proof of a complete historical market.
6. Download the whole same result
JSON and readable CSV retain the applied query and manifest, exact pair identity, every original candle and matches/exclusions. Table page, selected day or a narrow window do not shorten the file. Before download, the same retained original and current local source admission are rechecked; export fetches no new history and substitutes no newer price.
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.