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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