Neural Network Trading Bot

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 modulesNetwork 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.