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23 lignes
983 o
Markdown
23 lignes
983 o
Markdown
# Trading ML Experiment
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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.
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## 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.
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Then run,
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`python3 app.py`
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## Development and Contribution
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This repo utilises [pre-commit](https://pre-commit.com/) and manages package management with `pipenv`.
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To set up the dev environment, `pipenv install -d` and `pre-commit install`.
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