token_ohlcv_1m
16 columnsOne row per token and UTC minute: USD open, high, low and close, and volume.
multichain/price_history/token_ohlcv_1m<YYYY-MM-DD>.parquetone file per UTC day
Multi-chainOHLCVToken Price History Minute
One-minute USD price history for the 100 most traded DEX tokens on ten chains, up to 12 months, one row per token and minute.
- Coverage
- Last 12 monthsto Oct 8, 2026 · yesterday
- Rows
- ≈33Mrows · estimate
- Tokens
- ≈100distinct · estimate
- Table
- 1
token_ohlcv_1m - Columns
- 16typed
Coverage ends yesterday, UTC
Overview
We build one USD candle per token and minute from decoded DEX trades, for the 100 tokens with the highest trading volume over the window you buy, on Solana, BNB Smart Chain, Base, Ethereum, Polygon, Arbitrum, Optimism, Tron, Robinhood Chain and Arc. The file holds price and volume only: no market cap or supply columns. 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.
Use cases
- Backtests on a year of one-minute bars for the most traded tokens
- Slippage and volatility studies around known events
- 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
Table
Schema reference
ColumnTypeDescription
Block_DateDateUTC day of the bar
Interval_Time_StartDateTimeUTC start of the bar
Token_NetworkStringChain the token trades on
Token_AddressStringToken contract or mint address; empty for a chain's native coin
Token_IdStringBitquery token id, the chain prefix plus the address; the join key
Token_SymbolStringSymbol reported by the token; not unique
Token_NameStringName reported by the token; not unique
Token_IsNativeBoolTrue for a chain's native coin
Currency_IdStringBitquery currency id that groups this token with its copies on other chains
Currency_SymbolStringSymbol of that currency
Price_Ohlc_OpenFloat64First USD price in the minute
Price_Ohlc_HighFloat64Highest USD price in the minute
Price_Ohlc_LowFloat64Lowest USD price in the minute
Price_Ohlc_CloseFloat64Last USD price in the minute
Volume_UsdFloat64USD value traded in the minute
Volume_BaseFloat64Amount of the token traded in the minute, decimal adjusted
Ask an AI about this data
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Delivery
Parquet files in a Requester Pays S3 bucket or a Cloudflare R2 bucket, chosen at checkout. On S3 you download with your own AWS account and AWS bills the transfer; on R2 you download with a read-only API key and pay no egress. Layout:
# token_ohlcv_1m: one file per UTC day
multichain/price_history/token_ohlcv_1m<YYYY-MM-DD>.parquet- Download a free sampleNo email needed.
- Pay nowName, work email and licence check.
- Pay the invoiceBy card or bank transfer.
- Download from S3 or R2The team prepares the export and emails the bucket path, plus a read-only API key for R2 orders.
Time windows
Every window includes 16 columns. Only the time range changes.
In every window
- The
token_ohlcv_1mtable, 16 columns - Parquet files in the layout under Delivery
- S3 or R2 download, chosen at checkout
- Licensed under the Data License
FAQ
What is in Token Price History Minute?
One Parquet table, token_ohlcv_1m, with 16 columns: the minute, the token and its chain, USD open, high, low and close, and USD and token volume.
How big is it?
About 33 million rows for 12 months and half that for 6. This is an estimate scaled from the latest 30 days, which hold about 2.8 million rows; exact figures arrive with the delivery manifest.
Which tokens and chains are included?
The 100 tokens with the highest USD trading volume over the window you buy, on Solana, BNB Smart Chain, Base, Ethereum, Polygon, Arbitrum, Optimism, Tron, Robinhood Chain and Arc. The list is fixed when your order is built and shipped inside the files.
How far back does it go?
You choose 6 or 12 months at checkout. Each order is built once, when you buy, and covers the 6 or 12 months up to the latest full UTC day. It is a fixed set of files and does not update afterwards. A chain younger than the window is covered from its first block, so a chain that launched three months ago has three months of rows.
How are the candles produced, and how was the sample checked?
Candles are built from decoded DEX trades on each chain, priced in USD at trade time. No market cap or supply figures are included, which is what lets this dataset reach back a year. We read the published sample back before release: no duplicate bars, no blank names, and no bar with a high below its low.
What was left out, and why?
Market cap and supply columns, trades on centralized exchanges, and minutes with no trade, which have no row. Nothing is forward filled.
What should I watch out for?
Symbols and names repeat, so join on Token_Id. The same coin appears once per chain under a different Token_Id; Currency_Id groups those copies. These are DEX prices: for widely traded coins they follow exchange prices closely, and for a thinly traded token a bar can be missing.
Can I get more tokens at one-minute resolution?
Not as a fixed-price dataset. Wider token lists are quoted as custom scopes; use the enterprise form.
How do I load it?
One line in DuckDB: SELECT * FROM read_parquet('token_ohlcv_1m/*.parquet') LIMIT 10. Pandas works too: pandas.read_parquet(path). The sample file opens without credentials.
How current is it, and how is it delivered?
Each order is built once, when you buy, and covers the 6 or 12 months up to the latest full UTC day. It is a fixed set of files and does not update afterwards. 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.
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