Hands-on Machine Learning for Stock Trading [Python]

Hands-on Machine Learning for Stock Trading [Python], available at Free, has an average rating of 4.67, with 8 lectures, based on 146 reviews, and has 4102 subscribers.

You will learn about How to create a Neural Network with Python How to prepare data for Time Series Analysis How to evaluate Machine Learning models How to perform a reliable backtest with Python This course is ideal for individuals who are traders and coders who wants to use Machine Learning It is particularly useful for traders and coders who wants to use Machine Learning.

Enroll now: Hands-on Machine Learning for Stock Trading [Python]

Summary

Title: Hands-on Machine Learning for Stock Trading [Python]

Price: Free

Average Rating: 4.67

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

How to create a Neural Network with Python
How to prepare data for Time Series Analysis
How to evaluate Machine Learning models
How to perform a reliable backtest with Python

Who Should Attend

traders and coders who wants to use Machine Learning

Target Audiences

traders and coders who wants to use Machine Learning

Enter the world of Neural Networks and Financial Forecasting with this free course.

Can you forecast the returns of your favorite stock using Machine Learning?

Artificial Intelligence is certainly changing the world:

From the way we get our content, autonomous driving, medical advances to art creation.

Financial Machine Learning is one of the industries with a bigger impact on these technologies, from Roboadvisors to Algorithmic Trading.

Most recommendations made by firms are based on Artificial Intelligence nowadays, rendering most conventional analysts useless.

The same happens for traders, not many years ago trading was done manually, currently a huge share of the market is being traded by AI.

These advances have changed the game, gaining insight with edges the human eye can’t see anymore.

While the biggest financial institutions have been trading using Artificial Intelligence for years, most retail traders don’t know how to use nor benefit from them, we are here to change that.

Roll up your sleeves with this hands-on project where you are going to learn by doing and interacting with code, completely from scratch.

In this course you are going to learn how to:

Download Historical Data from your code, automatically.
Prepare your data with the most suitable indicators.
How to label and prepare data to feed our model.
Prepare a Neural Network.
Evaluate models.
Backtest your ML Model.
Create accurate stock forecasts.

We hope you enjoy this course.

Genbox Trading

Course Curriculum

Chapter 1: Content

Lecture 1: Introduction

Lecture 2: Model

Lecture 3: Getting historical data

Lecture 4: Creating technical analysis indicators

Lecture 5: Labelling our data

Lecture 6: Training our Neural Network

Lecture 7: Backtesting our Model

Lecture 8: Forecasting today returns

Instructors

Genbox Trading
Advanced Algorithmic Trading

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 26 votes
4 stars: 52 votes
5 stars: 63 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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