Submission team-026
Inspiration
Dead fish have extraordinary trading skills. We tried to resemble that!
What it does
It's a trading bot that tries to detect arbitrage opportunities between 5 securities. Particularily we have functions that aim to benefit from the dual listing problem, the basket trading problem and market making.
How we built it
- Key algorithms detect arbitrage opportunities in dual-listed securities and baskets.
- The framework was developed in Python
Challenges we ran into
- Managing latency in sequential processes and ensuring trades executed with the most updated market data.
- Designing robust arbitrage and hedging logic for volatile markets.
Accomplishments that we're proud of
- Developed solutions for dual listing, basket trading, and market-making problems.
- Nice teamwork and connections created during the project
What we learned
- The importance of reducing latency in trading systems.
- Effective use of parallelization and async programming for financial applications.
- Techniques to identify and exploit arbitrage opportunities
What's next for dead trading fish
- Refining algorithms for increased profitability and reduced risk.
- Incorporating machine learning to improve trading predictions.
- decreasing latency to gain a competitive edge above other maret participants
Built With
- hope
- python
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