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Algorithmic Trading with Python: Machine Learning strategies

 

Algorithmic Trading with Python: Machine Learning strategies


Algorithmic Trading with Python: Machine Learning strategies

Artificial intelligence / Machine Learning for algorithmic trading. MetaTrader 5 bots included!

Rating: 4.2 out of 5

4.2  (38 ratings)

6,193 students

Created by Lucas Inglese

Last updated 12/2021

English


What you'll learn

  1. Machine learning skills
  2. MT5 live trading
  3. Create algorithmic trading strategies using Machine Learning
  4. Manage data using Pandas
  5. Data Cleaning using Pandas
  6. Python programming
  7. Compare / choose trading strategies
  8. Understand and implement a Linear Regression
  9. Understand and implement a SVM
  10. Understand and implement a PCA
  11. Import stock prices from your broker
  12. Import stock prices from Yahoo Finance
  13. Put your strategy on a VPS

Requirements

Some python knowledge are welcoming but not necessary


Enroll now



Description

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 Machine Learning (Linear regression, Support Vector Machine).


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 Machine Learning in Live Trading


Predict stock prices using Machine Learning


Live trading implementation


Import financial data


Linear Regression Algorithm


Support Vector Machine (SVM)


How to do a backtest


The risk of a stock


Python


What is a long and short position


Numpy


Pandas


Matplotlib


Sharpe ratio


Sortino ratio


Alpha coefficient


Beta coefficient




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 MT5 live trading using python
  • Students in data science
  • Professional in data science
  • Professional in finance
  • Students in finance


Course content

9 sections • 70 lectures • 5h 4m total length


Instructor : Lucas Inglese

Founder of Quantreo

Lucas Inglese

4.4 Instructor Rating

278 Reviews

43,138 Students

13 Courses

Lucas is an independent quantitative trader specializing in Machine learning and data science, and the founder of Quantreo, an algorithmic trading E-learning website (more information in my Udemy profile).




He graduated in mathematics and economics from the University of Strasbourg (France). He has already helped +38.000 students through his online courses and his YouTube channel dedicated to algorithmic quantitative trading.




He has a quantitative trading approach, combining predictive models, financial theory, and stochastic calculus.


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