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Crypto and perps

Crypto prices

QuantGPT

Daily bars for every Binance USDT pair ever listed, delisted ones too, with coin factors.

Use in my models: choose in My dataAll my data choices

What it is

Daily bars for every Binance USDT pair ever listed, delisted ones too, with coin factors.

  • crypto prices daily: Daily bars for every Binance USDT pair ever listed, delisted included.
  • crypto meta: Per pair: first and last day, days, delisted, pegged and how the peg was found.
  • crypto factors monthly: Monthly crypto factors: returns, volatility, dollar volume, distance from the 200-day, age.
  • crypto price events: Redenominations, migrations and reused symbols.

Source and licence

Source: Binance.

Licence: exchange data (Binance terms). This is our reading of the table; counsel decides.

Credit: EODHD end of day, via the QuantGPT engine; coins: Binance daily closes (Data sources).

The app shows it only while the server switch SHOW_VENDOR_PRICES is on.

Coverage and gap years

709 symbols, 819,685 rows in crypto prices daily, from Aug 17, 2017 to Oct 9, 2026.

Years with no rows: none between the first and the last.

Thin years: 2018.

TableRowsFirstLast
crypto prices daily819,685Aug 17, 2017Oct 9, 2026
crypto meta709Jul 23, 2018Oct 9, 2026
crypto factors monthly27,740Aug 31, 2017Oct 9, 2026
crypto price events12Oct 19, 2018Mar 28, 2024

Freshness

Last row Oct 9, 2026: Up to date on the day measured. Updates: every day.

Flagged STALE by the engine: crypto price events.

Point in time

Keyed on the day; redenominations and reused symbols are listed in crypto price events.

No version history in the table: it holds the latest copy the engine loaded.

Delisted names

Included: every pair ever listed stays, and crypto meta marks the delisted ones.

Known issues

  • Engine STALE flags. crypto price events ended 2024-03-28. (WAREHOUSE, Gaps and freshness that matter)
  • crypto price events: last row 2024-03-28; 925 days behind; 12 rows; flagged STALE. (ACCURACY, 4. Stale, empty and thin)

Where it is used

Engine tools that reach it (your AI, over MCP):

  • run_crypto_backtest Monthly cross-sectional CRYPTO backtest vs BTC buy-and-hold.
  • query_warehouse Run read-only SQL (DuckDB dialect) directly against any research database.

Ask AI

Every count and date here was measured on Oct 9, 2026 from the QuantGPT engine's warehouse and is read from the catalogue file when the site is built. Metadata only: no vendor rows are shown.