Trading Strategy now offers advanced quant trading datasets on the Base blockchain, enabling seamless algorithmic and AI-powered trading with powerful tools.
As the first protocol of its kind, Trading Strategy combines a marketplace for ready-made strategies, self-custodial automated trading, and tools for building advanced quant and AI-driven strategies—all without requiring blockchain expertise.
Base, developed by Coinbase and secured by Ethereum, provides a robust foundation for DeFi innovation. Trading Strategy’s DEX trading datasets are for professional-grade strategies — far beyond traditional tools and APIs for manual trading.
Trading Strategy's Base datasets enable quant developers to create, backtest, and optimise their algorithmic trading strategies with familiar tooling:
- First-class Python and data research support
- Local development, bring-your-own-tools model
- Possibility to combine with AI agents and sentiment data like Trend Moon
- Comprehensive, well-organized documentation with full-text search
- Plenty of examples, with ready-made trading strategies for Base
- To find specific tokens and related data, please check our advanced search.
Explore Base L2 DEX data here or download full datasets as compressed Parquet files.
Why Base?
Base is very good chain for traders. Some benefits of Base L2 include:
- Vast variety of different assets to trade (we list 56,000 active trading pairs out of 1 million)
- Good volumes
- Backed by Coinbase to ensure there is a focus on good user experience for retail users
- Native USDC support
- Native Coinbase Wrapped Bitcoin (cbBTC) support
- Home for well-established DeFi protocols like Uniswap, Aerodrome, Aave
- Fast: low transaction latency
- Gas efficient: low transaction cost
- Immune to MEV, frontrunning and other public mempool-based malicious activities
Combining these features opens the door to all kinds of new decentralised applications, which have not been possible before on EVM-based blockchains.
An example that highlights the benefits of Base for DEX trading use cases is the Base memecoin index strategy (see backtest), which rebalances over 50 memecoins. The index rebalancing cost and effort would be more difficult and expensive on older chains like the Ethereum mainnet.
Available datasets
Datasets include:
- Exchange and trading pair metadata
- Price data (OHLCV)
- Lending protocol liquidity (in specialised OHLC format)
- Token quality data (risk score, labelling)
- Uniswap CLMM data for LP and market-making strategies
- Token sniffer scores for scams
- Coingecko category cross-referencing
Explore data documentation here.
In the initial stage, the following data is available
- Uniswap v2
- Uniswap v3
- Aave lending pools
Dataset's technical formats and accessibility include
- Python client
- Real-time APIs (the client above is recommended)
- Historical APIs (the client above is recommended)
- Historical data single file downloads (for backtesting)
How to get started developing strategies
Read our getting started tutorials on developing your automated trading strategies for Base DeFi protocols.
Strategy developer / quant incentives available
Trading Strategy also offers incentives for strategy developers/quants who are looking to create Open Strategies that can be used by other DeFi users too.
To be qualified for strategy developer incentives, please contact us on Trading Strategy Discord or alternatively send us email at info @ tradingstrategy.ai and express your interest in developing strategy algorithms.
What next
The first open strategies for Base will soon be publicly available. In the meantime, please test the currently available Open Strategies with your crypto wallet here simply by connecting your wallet and making a deposit: https://tradingstrategy.ai/strategies
Get in touch with Trading Strategy
- Follow us on Telegram, Discord and X to learn more
- If you are a developer and want to develop your own trading strategies, we are happy to help you in the Trading Strategy Discord.