Algorithmic Trading

This project focuses on developing an algorithmic trading system to automate trading decisions in financial markets. The goal is to leverage computer algorithms and mathematical models to execute trades efficiently, capitalize on market opportunities, and remove human biases from the decision-making process.

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Table of Contents

• Algorithmic Trading
  • Table of Contents
  • Introduction
  • Installation
    • Clone the repository:
    • Navigate to the project directory:
    • Install the required python version
      • Install the pyenv
        • Linux (Ubuntu, Debian, and similar)
        • macOS (using Homebrew)
        • Windows
      • Install the required python version
    • Set up a virtual environment
      • Activate the virtual environment:
    • Install the project dependencies:
    • Execute the project setup
      • If you want to change the packages while developing, instead of the above command, run the following:
  • Usage
  • Contributing
  • License

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Introduction

The Algorithmic Trading Project aims to design and implement an automated trading system using cutting-edge algorithms and market analysis techniques. The project leverages the power of technology to analyze market data, identify trading opportunities, and execute trades with minimal latency. By automating trading decisions, we can enhance speed, accuracy, and consistency while reducing emotional biases.

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Installation

Clone the repository:

git clone https://github.com/PedroFerreiraBento/MT5-Algorithmic-Trading.git

Navigate to the project directory:

cd MT5-Algorithmic-Trading

Install the required python version

Install the pyenv

Linux (Ubuntu, Debian, and similar)

• Install prerequisites:

  sudo apt-get update 
  sudo apt-get install curl git

• Install pyenv:

  curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash

• Add pyenv to your shell configuration file (e.g., ~/.bashrc or ~/.bash_profile):

  echo 'export PATH="$HOME/.pyenv/bin:$PATH"' >> ~/.bashrc
  echo 'eval "$(pyenv init -)"' >> ~/.bashrc
  echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.bashrc
  source ~/.bashrc

macOS (using Homebrew)

• Install Homebrew (if not already installed):

  /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

• Install pyenv using Homebrew:

  brew update
  brew install pyenv

• Add pyenv to your shell configuration file (e.g., ~/.bash_profile or ~/.zshrc):

  echo 'eval "$(pyenv init --path)"' >> ~/.zshrc
  echo 'eval "$(pyenv init -)"' >> ~/.zshrc
  echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.zshrc
  source ~/.zshrc

Windows

• Install the pyenv-win running the following command in a PowerShell terminal:

  Invoke-WebRequest -UseBasicParsing -Uri "https://raw.githubusercontent.com/pyenv-win/pyenv-win/master/pyenv-win/install-pyenv-win.ps1" -OutFile "./install-pyenv-win.ps1"; &"./install-pyenv-win.ps1"

• If you are getting any UnauthorizedAccess error then start Windows PowerShell with the "Run as administrator" option and run Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope LocalMachine, now re-run the above installation command.

Install the required python version

pyenv install --skip-existing "$(cat .python-version)"

Set up a virtual environment

python -m venv venv/TradingEnvironment

Activate the virtual environment:

• On Windows:

  .\venv\TradingEnvironment\Scripts\activate

• On macOS and Linux:

  source venv/TradingEnvironment/bin/activate

Install the project dependencies:

pip install -r requirements.txt

Execute the project setup

python ./setup.py install

If you want to change the packages while developing, instead of the above command, run the following:

pip install -e .

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Usage

1. Run the project:

   python main.py
   

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Contributing

Contributions are welcome! If you have any improvements or bug fixes, feel free to submit a pull request. Please make sure to follow the contribution guidelines.

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License

This project is licensed under the MIT License.