Token Price History Daily

One Parquet table, token_ohlcv_1d, with 16 columns: the day, the token and its chain, USD open, high, low and close, USD and token volume, and the number of hourly bars behind the day.

About 350,000 rows for 12 months and half that for 6. This is an estimate scaled from the latest 30 days, which hold about 29,500 rows; exact figures arrive with the delivery manifest.

The 1,000 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.

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.

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.

Market cap and supply columns, trades on centralized exchanges, and days with no trade, which have no row. Nothing is forward filled.

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.

One line in DuckDB: SELECT * FROM read_parquet('token_ohlcv_1d/*.parquet') LIMIT 10. Pandas works too: pandas.read_parquet(path). The sample file opens without credentials.

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.