Inspiration

Making money trading in the markets using sophisticated algorithms

What it does

Trading algorithm which does market making based on social media feed and the prices in the markets. The algorithm also scans exchanges for arbitrage opportunities and utlizes the arbitrage spread to earn profit.

How we built it

Python, FinBERT for sentiment analysis, Avellaneda-Stoikov, Adaptive Gamma Tracker, Z-score

Challenges we ran into

We tried many approaches, but a lot of them did not work as we expected. Although they looked good in theory and were mentioned previously in books/research on quant trading, they did not perform well in ths setup. Therefore, we needed to test out approaches to make sure that they would ensure profitable trades.

Accomplishments that we're proud of

Building a trading algorithm in 36 hours, with sentiment analysis and arbitrage!

What we learned

Quant trading is hard, but an incredibly interesting task.

What's next for Isar River Trading

(Hopefully) making money

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