Hands-on Machine Learning for Stock Trading [Python] [Free Online Course] - TechCracked

Unleash the power of Neural Networks for Trading

What you'll 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

Description

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.

Disclaimer:

This course and website and all content contained therein, including, without limitation, any content purchased by you (collectively, the “Site”) is distributed for general informational and educational purposes only and is not intended to constitute legal, tax, accounting, financial or investment advice. The information, opinions and views contained herein have not been tailored to the investment objectives of any one individual, are current only as of the date hereof and may be subject to change at any time without prior notice. All investment strategies and investments involve risk of loss.  Nothing contained in this website should be construed as investment advice.   

Any ideas or strategies discussed herein should not be undertaken by any individual without prior consultation with a financial professional for the purpose of assessing whether the ideas or strategies that are discussed are suitable to you based on your own personal financial objectives, needs and risk tolerance. I expressly disclaim any liability or loss incurred by any person who acts on the information, ideas or strategies discussed herein.

The information contained herein is not, and shall not constitute a recommendation, an offer to sell, a solicitation of an offer to buy or an offer to purchase any securities, nor should it be deemed to be a recommendation, an offer, or a solicitation of an offer, to purchase or sell any investment product or service.

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Genbox Trading

Also See : Stock Trading - How to Become Powerful Stock Trader

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