Team-046

File name: tradeX.py

What it does

Uses statistical arbitrage to leverage differences in price of interlinked stocks which can be exploited to generate profit.

How we built it

Using Optibook and Python

Challenges we ran into

  • Not understanding financial markets
  • Which approach to pursue
  • How to correctly implement our approach

Accomplishments that we're proud of

Adapting to a new environment with quant trading and learning about the different ways to algorithmically profit from the stock market.

What we learned

  • Quantitative trading
  • Statistical arbitrage
  • How stocks can be interlinked on different markets

What's next for optiver challenge ichack24

We'd love to learn from this experience as it has really excited us regarding financial markets and the algorithmic possibilities within them. Although we were unable to perform as well as we'd have liked during the challenge, we hope to improve on it next time!

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