Optiver Sharks (Team 28)

The sharks

Who we are

We are a team of four motivated Master's students at TUM specializing in various informatics programs, including M.Sc. Robotics, Cognition, Intelligence, M.Sc. Computer Science, and M.Sc. Biomedical Computing.

Inspiration

Eager for a challenge, we embarked on this project to go into a relatively new and unexplored topic. Our goal was to leverage and apply our diverse knowledge in informatics to create something innovative and impactful.

What it does

Our project involves the implementation of a trading strategy in Python. This strategy dynamically determines, whether to buy or sell based on the anticipated market behavior, drawing insights from news headlines obtained through a centralized feed. The emphasis on sentiment analysis in daily trading underscores the significance of information interpretation. Additionally, our system employs a dual-market strategy for enhanced trading efficiency.

How we built it

Encountering various challenges during development tested our problem-solving skills and resilience, contributing to the refinement of our project.

Challenges we ran into

Throughout the development journey, we encountered various challenges that tested our problem-solving skills and resilience. Overcoming these hurdles contributed significantly to the refinement of our project.

Accomplishments that we're proud of

One of our most gratifying achievements was witnessing success in the stock market after deploying our algorithm. Seeing positive results increased our confidence in the efficacy of our trading strategy :)

What we learned

Our journey provided valuable insights into stock market dynamics on a smaller scale, enhancing our analytical skills and providing hands-on experience in algorithmic trading.

What's next for Optiver Sharks (Team 28)

Our future goals include maintaining our tech enthusiasm and continuous self-improvement across all aspects of our lives. Enjoying life remains a priority. 🚀