Deep Learning for algorithmic trading using Python
Learn how to create algorithmic trading strategies using deep learning algorithms. Implement live trading using MetaTrader 5 and Python. Manage financial data with Numpy, Pandas, and Matplotlib. Backtest strategies and analyze performance using statistics. Suitable for those interested in AI techniques for algorithmic trading.
What you’ll learn
- Create an algorithmic trading strategy based on deep learning algorithms
- Put any algorithm in live trading using MetaTrader 5 and Python
- Manage financial data using Numpy, Pandas and Matplotlib
- Data cleaning using Pandas
- Python programming
- Deep learning implementation using TensorFlow 2.0
- Understand and implement the Deep Neural Networks (DNN)
- Understand and implement the Recurrent Neural Networks (RNN)
- Import stock price from Yahoo Finance and from your broker
You already know python, and you want to monetize and diversify your knowledge?
You already have some trading knowledge, and you want to learn about artificial intelligence in algorithmic trading?
You are simply a curious person who wants to get into this subject?
If you answer at least one of these questions, I welcome you to this course. For beginners in python, don’t panic! There is a python course (small but condensed) to master this python knowledge.
In this course, you will learn how to program strategies from scratch. Indeed, after a crash course in Python, you will learn how to implement a system based on Deep Learning (Deep neural network, Recurrent neural network).
Once the strategies are created, we will backtest them using python. So that we know better this strategy using statistics like Sortino ratio, drawdown the beta… Then we will put our best algorithm in live trading.
You will learn about tools used by both portfolio managers and professional traders:
Artificial intelligence algorithm
Apply Deep Learning in Live Trading
Predict stock prices using Deep Learning
Live trading implementation
Import financial data using MetaTrader 5 or Yahoo finance
DNN Algorithm
RNN algorithm to analyze and predict time series behavior
How to do a backtest a strategy using the programming language Python
Numpy, Pandas, Matplotlib
Sharpe, Sortino ratios
Alpha, Beta coefficients
Why this course and not another?
It is not a programming course nor a trading course. It is a course in which programming is used for trading.
A data scientist does not create this course, but a degree in mathematics and economics specialized in Machine learning for finance.
You can ask questions or read our quantitative finance articles simply by registering on our free Discord forum.
Without forgetting that the course is satisfied or refunded for 30 days. Don’t miss an opportunity to improve your knowledge of this fascinating subject.
Who this course is for:
- Everyone who wants to learn advanced AI techniques to algorithmic trading
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