Course for : | All |
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Course Deuration : | 5 hours on-demand video |
In Course Have : | Video, Articles |
Course Fee : | $9.99 |
What you'll learn
Description
Build a Machine Learning Trading Bot from scratch
Requirements
- There are no prerequisites
- Fundamentals of Math, Finance, and programming will be taught during the course.
- Other resources are made accessible whenever it is
Description
This course covers the fundamentals of creating a trading Bot completely from scratch, which utilizes Neural networks to decide using the provided data, which consists of historical price movements.
The course is split into four parts.
Fundamentals of Network Communications: This chapter focuses on understanding the basics of HTTP requests. API interfaces are covered in the basic. Reading the documentation of an API is described in detail.
Making a Trade Bot starting from scratch This article explains creating a Trading Bot using Python 3. This bot will collect information from an exchange and then decide about trading or buying. The decisions are made according to the structure of the graph. This is an excellent illustration of a classic programming method.
Market Indices: This section deals with the most basic market indicators like SMMA, Stoch, StochRSI and StopLoss. Trading strategies are explained, including bar-chart reverses and mathematical reasoning.
Neural Network, The section in question will build on the foundation laid in the preceding section. An essential trading bot framework named Gekko is used as an initial working trading bot. A strategy that uses neural networks will be developed on top of the trading bot. This section will explain the fundamentals of Neural Networks and serve as an excellent example of a Machine learning technique to tackle problems.
Scope of future: This section will provide suggestions for the future potential that this program will cover. The possibility of expanding this course to include Cryptocurrencies and other possibilities are addressed.
This course has been created only to serve educational purposes. Financial concepts covered in the course should not be taken as financial or professional advice. Any loss or profit caused by the implementation of the bot created during this course is entirely the user’s sole responsibility.
We hope that you enjoy discovering the complexities of creating the Trading Bot.
Happy Coding,
Vinay Phadnis 🙂
Who should this course be intended for:
- Students who are interested in Finance and Market movements
- Researchers interested in applying machine learning to finance