Trading Strategy documentation

Decentralised trading bots

Trading Strategy is a protocol for on-chain quantitative finance and trade automation. You can develop and backtest trading strategies based on all trades ever happened on any blockchain. Live data is available to one minute accuracy.

The ready strategies, or trading bots, can be deployed as autonomous agents running on smart contracts. Strategies then trade on decentralised exchanges. After deployed, anyone can invest in and withdraw from the strategies in real time. As trade rules are automated on-chain, anyone can verify the honest execution of the trading strategy.

Trading Strategy integrates with Jupyter notebook, Pandas, Backtrader and other popular quantitative finance toolkits popular in Python data science ecosystem.

Build on

Find the documentation for research notebooks and Python APIs below.

Algorithm vendor guide


Github repository.