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 :)
