Feb 11, 2022

Building quant trading infrastructure with TimescaleDB

Trading Strategy

The Trading Strategy co-founder Mikko Ohtamaa and Lucie Šimečková from TimescaleDB co-authored a post on how to use TimescaleDB for crypto quant trading infrastructure. Trading Strategy is more than 700,000 trading, while NASDAQ has 3,000. This sets some special requirements for the infrastructure.

We have also released a new version of the Trading Strategy Python client, as we are inching towards live trading.

How Trading Strategy built a data stack for crypto quant trading

Our friends from Trading Strategy join us to share how they’ve set up their data stack to ingest, integrate and analyze data about thousands of crypto assets and smart contracts to power their decentralized trading service.

blog.timescale.com

Trading Strategy Python client version 0.5

Trading Strategy protocol Python client is a Jupyter Notebook library for researching and executing algorithmic trading on decentralised exchanges.

tradingstrategy.ai

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Trading Strategy @tradingprotocol

Algorithmic trading protocol for decentralised markets. Automated and non-custodial trading execution directly on-chain across DEXs and DeFi.

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