Practical Python for Algorithmic Trading

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Jesus Lopez

1:54:02

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01 - Introduction

01 - Algorithmic trading using machine learning.mp4

00:37

02 - Maximize your learning.mp4

03:08

02 - 1. Working with Stock Market Data

01 - Download and export data.mp4

05:56

02 - Filter rows and create columns for trading strategies.mp4

06:10

03 - 2. Backtesting with Classification Models

01 - Compute machine learning classification model.mp4

09:12

02 - First configurations of the strategy class.mp4

04:34

03 - Simulate the investment strategy step by step.mp4

04:37

04 - Run the backtest on the strategy.mp4

04:17

05 - Challenge Backtest with other tickers.mp4

03:42

04 - 3. Backtesting with Regression Models

01 - Compute machine learning regression model.mp4

02:56

02 - How to evaluate regression models.mp4

05:00

03 - Configure and run the backtest with the regression model.mp4

01:47

04 - How to interpret the backtesting dashboard.mp4

05:36

05 - 4. Backtesting Optimization

01 - Optimizing strategy parameters.mp4

04:43

02 - Pandas reporting with heatmaps.mp4

02:23

03 - Smart optimization to save computing time.mp4

04:13

04 - Challenge Optimization with other datasets.mp4

03:41

06 - 5. The Overfitting Problem in Backtesting

01 - Why machine learning models overfit the data.mp4

04:21

02 - How to train models within the backtest.mp4

02:47

03 - Challenge Train test with other tickers.mp4

03:05

04 - Walk forward validation in machine learning.mp4

08:31

05 - Anchored walk forward validation in backtesting.mp4

05:36

06 - Create library for backtesting strategies.mp4

02:50

07 - Interpret reports from walk forward validation approaches.mp4

01:12

08 - Challenge Walk forward with other tickers.mp4

05:02

07 - Conclusion

01 - Course summary.mp4

07:11

02 - Whats next.mp4

00:55

Description

If you work in finance or have any interest in investing and trading, you know that there’s a treasure trove of financial data available to you at any moment. But how can you use all that information to your advantage? Algorithmic trading using machine learning techniques can help you make trading decisions based on data. In this course, Jesus Lopez teaches you about data preprocessing, feature engineering, and how to use advanced machine learning models to enhance your trading strategies. He shows you how to download stock market data from Yahoo Financeto be trained on machine learning models that predict the future, and how to create investment decisions based on the predictions. Learn how to optimize your strategies, understand backtesting techniques, and interpret performance reports with confidence.

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Python

Bitcoin Trading

Algorithmic Trading

Jesus Lopez

Instructor's Courses

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.