Python Weekly #6

With featured guest Mikko Ohtamaa @ TradingStrategy.ai

Jan 11

Hello world! Welcome to another edition of the Web3 Python Weekly. Each week we’ll bring you one exercise, tweet, & video to keep you up to date on all things happening at the crossroads of Web3 & python. Thanks for joining us!

Trade execution using pre-made solutions like charting, strategy backtesting, and live frameworks by Mikko Ohtamaa

Team | Dawn — Today’s feature is brought to you by Mikko Ohtamaa, the CEO and Co-Founder of Trading Strategy. Mikko was one of the first Ethereum smart contract auditors and holds over 20 years of experience in Python open source development.

Another week, another feature… we had the pleasure of catching up with Mikko recently about his popular Web3 Ethereum DeFi repo. Lucky for us, he agreed to give us some insights into a few other tools his team has built out...

The Trading Strategy Repos

Trading-strategy Python package is for fetching market data feeds from decentralized markets (DEXes). This data can be used in quantitative finance: either for trading or market health analysis.

The package comes with a sister package, trade-executor which contains ready made market charting solutions, trading strategy backtesting and live trading framework. 

These packages solutions heavily depend on Plotly, Pandas, pandas-ta. Python is the number one language in quant finance, as such, we’re building on the well known open source libraries and Python helps Trading Strategy to make decentralized markets easier to approach for existing quant finance engineers who have a background in traditional finance.

How To Get Started

There are plentiful code examples for getting started on consuming DeFi market data to then develop, simulate, and backtest, full-fledged trading strategies on decentralized markets.

Trading Strategy makes it easy for you to get started quickly!
- Review starter code examples
- Research strategy examples
- Or comb through over 500 pages of detailed docs

A lot of quantitative finance development happens in Jupyter Notebooks. Trading Strategy hosts free MyBinder based notebooks that come with a pre-setup Python environment for getting started with the development.

You can find free access to those notebooks here.