This repo contains my submission for the Kaggle competition, Optiver - Trading at the Close. The goal is to predict closing price movements for 200 Nasdaq stocks using historical auction data.
Although my leaderboard rank is humbling (~3300/4400+), I got to dabble with ensemble learning and neural net architectures, which made this an ideal follow-up to fintech-bootcamp-at-home
.