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Neural Network Trading Bot

Build a Machine Learning Trading Bot from scratch

4.4 / 5.0
555 students5 hours 11 minutes

Created by Vinay Phadnis, offered on Udemy

bestcourses score™

Student feedback


To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 555 students which left 85 reviews at an average rating of 4.4, which is average.

Course length


We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 5 hours 11 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score


This course currently has a bestcourses score of 5.1/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.


This course teaches the fundamentals of building a Trading Bot from scratch which will use Neural Networks to make a decision based on the training data which has been provided consisting of the historical price movements.

This course is divided into 4 modules

Network Communication Basics: This section deals with exploring the basics of HTTP requests. API interfaces are something which are dealt from the basics. Documentation reading of an API is also explained in good detail.

Building a Trading Bot from scratch: This section deals with the creation of a Trading Bot from scratch using Python 3. This bot will get the data from an exchange and then make decisions of buying or selling. These decisions will be made based on the nature of the candle graph. This will act as a very good example of a classical programming approach.

Market Indicators: This section deals with the basic market indicators like SMMA, Stoch, StochRSI and StopLoss. Trading strategies are also explained like bar-chart reversal along with the mathematics supporting them.

Neural Network: This section will act on the foundation established in the previous section where a basic trading bot framework called Gekko will be used as an intial working trading bot. A strategy which will use neural network will then be built on top of this trading bot. This section will also cover the basics of Neural Networks and act as a very good example of a Machine learning approach to solve problems

Future scope: This section will give suggestions on the future scope of this course. The extension of this course beyond Cryptocurrencies and many more such possibilities are discussed.

This course is created solely for educational purposes. Financial concepts mentioned in the course should not be considered as professional or financial advice. Any profit or loss incurred due to the deployment of the bot created in this course will completely be the responsibility of the User.

Hope you have fun exploring the depths of building a Trading Bot.

Happy Coding,

Vinay Phadnis :)

What you will learn

  • Building a Neural Network trading bot
  • What is a Trading Bot
  • Building a Trading bot from scratch
  • Market indicators (Moving average, stop loss, stoch)
  • Network communication using HTTP
  • What is an API
  • Reading the documentation and using an API
  • Mathematics for Market Trend analysis
  • Basics of Neural Networks
  • Using Neural Networks for Trading
  • Trade cryptocurrency on various crypto exchanges


  • No prerequisites
  • Basics of Math, Finance, Programming will be taught in the course
  • Additional resources will be made available wherever possible
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Frequently asked questions

  • Price: $94.99
  • Platform: Udemy
  • Language: English
  • 5 hours 11 minutes
Neural Network Trading Bot thumbnail

bestcourses score: 5.1/10

There might be better courses available for this topic.