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# Trading ML Experiment
This is a study on how different Neural Networks would be able to find the right way of modelling and finding a pattern through limited past or backtests before attempting to place a trade.
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Develop in Python 🐍 with all of the packages mentioned in the `requirements.txt` . Primarily using Pytorch to model a Neural Network.
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Actually, Pytorch is a bit advanced for a noob like me. So I used sci-kit learn and just get a working model with the defaults first.
## Usage
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Other than the required pip to install, the Metatrader client must have "Autotrading" mode enabled.
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Copy and paste the `config.sample.py` file to `config.py` and change the contents to fit for your account and pairs that you want to trade.
Then run,
`python3 app.py`
## Development and Contribution
This repo utilises [pre-commit ](https://pre-commit.com/ ) and manages package management with `pipenv` .
To set up the dev environment, `pipenv install -d` and `pre-commit install` .
