Deep Learning for Trading with Python (Tensorflow and Keras)

Deep Learning for Trading with Python (Tensorflow and Keras)

This course teach you about concepts of deep learning and other machine learning models for Trading. Such techniques are being used by Investment firms and professional traders to make significant return on their trading capital. The deep learning models in this course will be used to develop a powerful swing trading strategy. It is like no other course out there. This is the first time that such an exclusive content on machine learning for trading is being shared with a wider audience. The course shows you the practical and theoretical side of it. You will develop, train and test a deep feed-forward Neural Network on market data leading you to the development of your strategy.

The course is designed to fully immerse you into the complete machine learning and quantitative trading/finance workflow, going from hypothesis generation to data preparation, feature engineering, training and testing of a Deep Neural Network model. It is a bootcamp designed to get you from zero to hero using the development of a reliable trading strategy. It will give you understanding of the differences between discretionary and quantitative trading. You will learning about different trading instruments/products or also known as asset classes.

The topics of this course are steps and analysis that a data scientist in an investment firm would. We will cover the machine learning, deep learning techniques for trading strategies. Here are the details:

• Get an understanding of quantitative trading and why you should use machine learning for trading

• Numpy

• Pandas

• Matplotlib

• Feature engineering

• Train/test split and cross validation

• Supervised Learning and unsupervised learning

• Classification and regression problem

• Learn and understand what machine learning is and get a good grip of the type of machine learning algorithms available to solve different type of problems ( namely classification and regression problems)

• Deep Neural Network: Perceptron and multi perceptron, model architecture, activation functions

If you're new to Python, don't worry, the course starts with a crash course. If you've done some programming before, it should be alright.

What are you waiting for? Enroll now.

Disclaimer

This course is for educational purpose and does not constitute trading or investment advice. All content, teaching material and codes are presented with sharing and learning purpose and with no guarantee of exactness or completeness.

No past performance is indicative of future performance and the trading strategies presented here are based on hypothetical and historical backtesting. Trading futures, forex and options involves the risk of loss. Please consider carefully if trading is appropriate to your financial situation. Only risk capital you can afford to lose, and the risk of loss being substantial, you should consider carefully the inherent risks.

Learn how to use deep learning to develop robust and profitable trading strategies like the professional quant traders.

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What you will learn

• Deep Learning
• Classification-based machine learning
• Regresession-based machine learning

Rating: 2

Level: Intermediate Level

Duration: 6 hours

Instructor: The Trading Whisperer