Inspiration

Quantitative finance techniques due to the tasks being trading related and the data in time series.

What it does

Predicts future EPEX prices and trades energy prices accordingly with a flexible asset (battery) to generate alpha

How we built it

Lots of python notebooks

Challenges we ran into

Getting the right model, profits returned were negative, etc.

Accomplishments that we're proud of

The insights we came to, visualisations and working together remotely

What we learned

How to learn stuff quickly in tutorials, working remotely and fixing errors with models and libraries

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