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Bot responsible for automating the process of cataloging binary options market forecasts and performing operations.
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• About the Project
  • Built With
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Roadmap
• Contributing
• License
• Contact
• Acknowledgements

These robots can help a beginner in the investment market as well as help professionals. Artificial Intelligence can be a powerful resource for identifying behaviors and automating repetitive processes.

Here's why:

• A bot is capable of storing large amounts of data
• A bot is capable of processing a large volume of data and turning everything into information
• The bot is able to learn this information and help you make important decisions for your investment

We can think of this project as a tool that will help professionals at all levels of learning. The progress of the market validates the idea of ​​constant improvement.

A list of commonly used resources that I find helpful are listed in the acknowledgements.

This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

• Python

This example requires the use of an external API, to install just follow the steps of the developer.

1. Get a free API Key at Here
2. Clone the repo

git clone https://github.com/dsinmsdj/iqoptionapi

You will need to install Python 3 for a better experience.

• catalog prediction

python catalogo.py 

• mhi

python mhi.py 

• moving average

python moving_average.py 

• follow

python follow.py 

• signals

python signals.py 

• news

python news.py 

Below is an example of how to run the bot.

For more examples, please refer to the Documentation

See the open issues for a list of proposed features (and known issues).

Distributed under the MIT License. See LICENSE for more information.

Carlos Gatti - @instagram - [email protected]

Project Link: https://github.com/carlosgatti/bot_python_iq_option

• API :: Lu-Yi-Hsun