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algotrading's Introduction

Algotrading

Introduction

The Algotrading platform provides an easy to use interface to Backtest trading strategies (based on technical indicators). There is the possibility to Backtest and Launch Trading Bots with simulation and also with real money. It uses the python-binance unofficial Python wrapper for the Binance exchange REST API to access data and launch trades.

Purpose

This platform is a learning project to be familiar with the Python programming language and to use it's advanced features, besides to gain experience in Data Science by using diferent libraries like numpy, pandas, matplotlib and scikit-learn for applying several types of regression model.

IMPORTANT DISCLAIMER
These strategies are not highly profitable. It is possible to make some profit, but I do not advice it to use it frequently with your real money.

Using the Software

There are two possibilities to access the functionalities:

  1. Web Application

A simple web app was written to easily access every functionalities.
It uses the https://streamlit.io python library.
To access the web application, please follow this link: http://3.8.28.227:8501/

  1. Command line interface

If you run the main.py with the python main.py command it will launch the application and it will enable the user to start trading bots with simulation and with real money.
Notes: Backtesting functionalities with data visualization is not available with this method

Code usage

First, In your python environment, install all the packages by running the
pip install -r requirements.txt.
Than you need to run the main page of the UI by using the streamlit library's run command: streamlit run 1_home.py . It will launch an instance of the web application.

Contribution

I'm happily process any improvement idea, any bugfix or trading strategies to implement. You can Contact me at here, LinkedIn or via email: [email protected]

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