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A quantitative model for trading FX. It uses sequential neural-networks models [Recurrent Networks (RN), Long Short Term Memory (LSTM), Transformers] to train the trading algorithms.

License: MIT License

Python 3.14% Jupyter Notebook 96.86% Makefile 0.01% Dockerfile 0.01%

rex-ai's Introduction

REX-AI 0.0.2

DISCLAIMER

Rex-AI is not a registered investment, legal or tax advisor or a broker/dealer. All investments or financial opinions expressed or predicted by the model are from personal research and experience of the owners of the site and are intended as educational material.

What is Rex-AI

Rex-ai is a Forex Automated Trading System that, when fine-tuned correctly, could predict one hour ahead, control risk and execute the orders in a private forex service (read disclaimer)

The data cleaning and predictions are done using Pandas, Sklearn, TensorFlow (Keras) LSTM and RNN models and we intend to make it runable in a Google Cloud Service or Amazon Web Service virtual device to make it scalable.

Installation and Run

To try Rex-AI, follow the instructions below

clone

git clone https://github.com/quantium-rock/rex-ai

directory

cd rex-ai/

install

python setup.py

update database

This will update the database, taking into account the last hour, you only need to do this once.

python db/bin/update_db.py

run program

This will update the database, do the prediction, output the side and size signals and run the executor

python first_run.py

...follow terminal instructions

rex-ai's People

Contributors

alexcolls avatar martillanes avatar solerog avatar bogumilo avatar

Stargazers

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Watchers

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