Inspiration
our trading algorithm is optimal based on KNOWLEDGE
What it does
Once a positive or negative headline is identified for a given instrument, we spawn a new thread, that handles all the logic. we use statistical modeling to predict the impact that the message will have on the market and use dollar cost average selling to minimize risk while maximizing delta.
How we built it
With sweat and tears (buddy coding in jupyter notebooks)
Challenges we ran into
Ourselves
Accomplishments that we're proud of
Usage of awesome LLM
What we learned
Stonks
What's next for OptimusTrade
Death
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