Hi all,

I am a CEO, and long-time Python developer, of Trading Strategy - https://tradingstrategy.ai

We are a new startup that builds open-source algorithmic trading solutions on Python. We offer both strategy backtesting and live trade execution on cryptocurrency markets.

Currently, we have finished our seed round and the company is still in the product Minimum Viable Product build phase. For this, I would like to research the opportunity to run our client Python library directly in a web browser using Pyodide / JupyterLite. This would make it much easier for quant finance people, who are often not hardcore software developers, to access the beauty of Python-based data research.

I would like to see if there are people in the Pyodide community who would like to work with us. The work would be subcontracted to a Gibraltar-based company and consist of creating a static HTML proof-of-concept example. I am happy to work with anyone from students to professional Python consultants.

If anyone is interested in this sort of gig please contact me mikko@tradingstrategy.ai

All our related codebase is open source.

More accurate task description: https://github.com/tradingstrategy-ai/client/issues/11

Here is our Python client: https://github.com/tradingstrategy-ai/client/

An example Hello World notebook: https://tradingstrategy.ai/docs/programming/examples/getting-started.html

More information about our product and vision:

https://tradingstrategy.ai/blog/announcing-trading-strategy-protocol

Some earlier work we have done in open-source space:

https://tradingstrategy.ai/blog/world-fastest-token-search

https://www.timescale.com/blog/how-trading-strategy-built-a-data-stack-for-c...

Br, Mikko