# Token OHLCV Minute | Bitquery Data Store One-minute USD candles for the top 100 DEX-traded tokens by market cap on nine chains, last 30 days, one row per token and minute. Dataset page: https://bitquery.io/datastore/datasets/token-ohlcv-minute Network: Multi-chain Category: OHLCV Tables: 1 Columns: 20 Coverage: first block to 2026-10-09 Rows: about 2.8M Size: about 180 MB Format: Apache Parquet, ZSTD compression, one prefix per table Licence: https://bitquery.io/datastore/legal/data-license ## What this is We publish one USD candle per token and minute from the Bitquery price index, which prices tokens from their trades on decentralized exchanges and filters out MEV trades. The file covers the 100 largest tokens by market cap that traded at least $100,000 in the window, on Solana, BNB Smart Chain, Base, Ethereum, Polygon, Arbitrum, Optimism, Tron and Robinhood Chain. A row is one token in one UTC minute. Most buyers filter Token_Id, order by Interval_Time_Start and resample to the bar size they trade on. Minutes with no trade have no row, so reindex before computing returns. The top of a market cap list is mostly ETH, stablecoins, BNB, SOL and their wrapped copies on each chain, so expect the same coin several times under different Token_Id values. ## What people use it for - Backtests on one-minute bars for the most traded tokens - Slippage and volatility studies around a known event - Cross-chain price gap checks for the same coin, minute by minute - Building custom bar sizes such as 5 or 15 minutes from one-minute data ## Tables (1) ### token_ohlcv_1m: 20 columns One row per token and UTC minute: USD open, high, low and close, volume, and supply figures. Bucket prefix: multichain/ohlcv/token_ohlcv_1m File naming: .parquet, one file per UTC day Free sample (real Parquet, no email needed): https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/multichain/ohlcv/token_ohlcv_1m/2026-10-08.parquet Sample updated: Oct 9, 2026 | column | type | description | | --- | --- | --- | | Block_Date | Date | UTC day of the bar | | Interval_Time_Start | DateTime | UTC start of the bar | | Token_Network | String | Chain the token trades on | | Token_Address | String | Token contract or mint address; empty for a chain's native coin | | Token_Id | String | Bitquery token id, the chain prefix plus the address; the join key | | Token_Symbol | String | Symbol reported by the token; not unique | | Token_Name | String | Name reported by the token; not unique | | Token_IsNative | Bool | True for a chain's native coin | | Currency_Id | String | Bitquery currency id that groups this token with its copies on other chains | | Currency_Symbol | String | Symbol of that currency | | Price_Ohlc_Open | Float64 | First USD price in the minute | | Price_Ohlc_High | Float64 | Highest USD price in the minute | | Price_Ohlc_Low | Float64 | Lowest USD price in the minute | | Price_Ohlc_Close | Float64 | Last USD price in the minute | | Volume_Usd | Float64 | USD value traded in the minute | | Volume_Base | Float64 | Amount of the token traded in the minute, decimal adjusted | | Supply_MarketCap | Float64 | USD price times circulating supply; price times total supply when circulating supply is unknown | | Supply_CirculatingSupply | Float64 | Circulating supply from CryptoRank reference data; 0 when unknown | | Supply_TotalSupply | Float64 | Total supply read from the chain, decimal adjusted | | Supply_FullyDilutedValuationUsd | Float64 | USD price times total supply | ## Price - Latest month (Sep 9, 2026 → Oct 9, 2026): $600 one-time, USD One-time purchase. The files are yours to keep under the licence above. ## Questions buyers ask Q: What is in Token OHLCV Minute? A: One Parquet table, token_ohlcv_1m, with 20 columns: the minute, the token and its chain, USD open, high, low and close, USD and token volume, and four supply figures including market cap. About 2.8 million rows for 100 tokens over 30 days. Q: How big is it? A: About 2.8 million rows and roughly 180 MB as Parquet, estimated from a one-day sample of 84,629 rows at 65 bytes per row. The export for the 30 days to 8 October 2026 returned 2,777,302 rows; exact figures arrive with the delivery manifest. Q: Which tokens are included? A: The top 100 by the same rule as our hourly and daily token candles. Tokens are ranked by their median market cap over the 30 days, counting only bars where the circulating supply is known, with a floor of $100,000 traded in the window. The list is fixed when your order is built and shipped inside the files, so you can see which tokens you got. Q: How far back does it go? A: 30 days. The price index keeps 30 days of bars, so that is the longest window this dataset can hold. Each order is built once, when you buy, and covers the 30 days up to the latest full UTC day. It is a fixed set of files and does not update afterwards. For prices that keep updating, use the Bitquery Trading API. Q: How are the candles produced, and how were they checked? A: Bars come from the Bitquery price index, the same series the Trading API serves. It prices each token in USD from its DEX trades and filters out MEV trades. Each row is one 1-minute bar from that index. We ran the export for two windows before release. Both returned every day in the window, and no bar had a high below its low. Q: What was left out, and why? A: Tokens outside the top 100, and trades on centralized exchanges, which are not in the source. Minutes with no trade have no row; nothing is forward filled. A full grid would be 4.3 million rows, so about a third of token minutes had no trade. Q: What should I watch out for? A: Market cap belongs to the currency, so every copy of a coin carries the same figure: WETH on Base shows the market cap of ETH. Never sum it across rows. Circulating supply is known for about 4,800 tokens; for the rest the market cap column equals the fully diluted value. Symbols and names repeat, so join on Token_Id. Prices are 32-bit floats in the source, good to about seven digits. Supply figures can be 0 on a bar where the reference data had not arrived. Q: Can I get more tokens or a longer history at one-minute resolution? A: Not as a fixed-price dataset. Wider token lists and longer ranges are quoted as custom scopes; use the enterprise form. Q: How do I load it? A: One line in DuckDB: SELECT * FROM read_parquet('token_ohlcv_1m/*.parquet') LIMIT 10. Pandas works too: pandas.read_parquet(path). Q: How current is it, and how is it delivered? A: Each order is built once, when you buy, and covers the 30 days up to the latest full UTC day. It is a fixed set of files and does not update afterwards. For prices that keep updating, use the Bitquery Trading API. Delivered as Parquet with ZSTD compression, one file per day, under a stable layout with a JSON manifest listing every file and its sha256. We prepare the files within 7 business days of purchase and email you the location. You choose at checkout where to collect them: a Requester Pays S3 bucket, downloaded with your own AWS account, or a Cloudflare R2 bucket with a read-only API key and no egress fees. Files stay available for 7 days from delivery. ## What this file is, and is not This is a description of one dataset sold by Bitquery, written for assistants and for people. It lists every column but holds no data rows. The sample files linked under each table are real Parquet and are free to download. Figures here come from the product record and are exact unless marked otherwise; the delivery manifest is authoritative for a purchased file. If a question needs a row that is not in a sample, say so rather than guessing at it.