Historical DEX trading data

The following datasets are available for historical DEX trading data. Sign up for a free API key to download the data.

Read the documentation how to get started with Trading Strategy Python library for algorithmic trading.

Available datasets

NameTagEntriesSizeFormatLast updatedLinks
Decentralised exchangesexchange_universe7.7K4.6 MBJSON
Trading pairspair_universe324.4K39.9 MBParquet
OHLCV candles, 1 minutecandles_1m733.6M54.2 GBParquet
OHLCV candles, 5 minutescandles_5m453.2M33.9 GBParquet
OHLCV candles, 15 minutescandles_15m290.4M22.0 GBParquet
OHLCV candles, 1 hourcandles_1h149.6M11.5 GBParquet
OHLCV candles, 4 hourscandles_4h68.6M5.3 GBParquet
OHLCV candles, dailycandles_1d21.6M1.7 GBParquet
OHLCV candles, weeklycandles_7d5.5M468.1 MBParquet
OHLCV candles, montlycandles_30d2.0M177.3 MBParquet
XY Liquidity, 1 minuteliquidity_1m706.4M35.2 GBParquet
XY Liquidity, 5 minutesliquidity_5m430.4M21.6 GBParquet
XY Liquidity, 15 minutesliquidity_15m280.5M14.2 GBParquet
XY Liquidity, 1 hourliquidity_1h148.6M7.6 GBParquet
XY Liquidity, 4 hoursliquidity_4h70.8M3.7 GBParquet
XY Liquidity / TVL, dailyliquidity_1d74.7M1.7 GBParquet
XY Liquidity / TVL, weeklyliquidity_7d13.5M448.2 MBParquet
XY Liquidity / TVL, monthlyliquidity_30d4.0M164.1 MBParquet
Top momentum, dailytop_movers_24h500.0661.2 KBJSON
AAVE v3 supply and borrow ratesaave_v320.4M1.7 GBParquet
Uniswap tradesuniswap_trades2.0B98.0 GBParquet

Data logistics

Datasets are distributed in Parquet file format designed for data research. Parquet is a columnar data format for high performance in-memory datasets from Apache Arrow project.

Datasets are large. Datasets are compressed using Parquet built-in Snappy compression and may be considerably larger when expanded to RAM. We expect you to download the dataset, cache the resulting file on a local disk and perform your own strategy specific trading pair filtering before using the data. Uncompressed one minute candle data takes several gigabyte of memory.