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_universe7.8K4.7 MBJSON
Trading pairspair_universe335.0K41.2 MBParquet
OHLCV candles, 1 minutecandles_1m751.1M55.4 GBParquet
OHLCV candles, 5 minutescandles_5m463.8M34.6 GBParquet
OHLCV candles, 15 minutescandles_15m292.6M22.2 GBParquet
OHLCV candles, 1 hourcandles_1h153.7M11.8 GBParquet
OHLCV candles, 4 hourscandles_4h70.5M5.5 GBParquet
OHLCV candles, dailycandles_1d22.3M1.8 GBParquet
OHLCV candles, weeklycandles_7d5.7M483.7 MBParquet
OHLCV candles, montlycandles_30d2.1M185.7 MBParquet
XY Liquidity, 1 minuteliquidity_1m716.7M35.7 GBParquet
XY Liquidity, 5 minutesliquidity_5m437.7M21.9 GBParquet
XY Liquidity, 15 minutesliquidity_15m285.8M14.5 GBParquet
XY Liquidity, 1 hourliquidity_1h152.2M7.8 GBParquet
XY Liquidity, 4 hoursliquidity_4h72.7M3.8 GBParquet
XY Liquidity / TVL, dailyliquidity_1d83.2M1.8 GBParquet
XY Liquidity / TVL, weeklyliquidity_7d15.0M473.2 MBParquet
XY Liquidity / TVL, monthlyliquidity_30d4.4M175.0 MBParquet
Top momentum, dailytop_movers_24h500.0660.6 KBJSON
AAVE v3 supply and borrow ratesaave_v324.1M2.0 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.