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My approaches to Financial Forecasting Challenge by G-Research
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Financial Forecasting Challenge G-Research

This repository include my code to the challenge proposed by G-Research:

In ended up at 29th place on the private leaderboard, among about 400 participants.

You can read my notes about the challenge:


$ virtualenv -p python3 env
$ source env/bin/activate
$ pip install -r requirements.txt


  1. You need to download the train and test datasets of the challenge: And put them in a 'input' folder in the project.

  2. You need to execute preprocessing script. So:

$ cd preprocessing
$ python
  1. You can use any model in model folder. So:
$ cd models
$ python


Developed by Bukosabino.

I am a Machine Learning Freelance focused on Data Science using Python tools such as Pandas, Scikit-Learn, Zipline or Catalyst. Don't hesitate to contact with me if you need something related with Technical Analysis, Algo Trading, Machine Learning, etc.

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