Machine Learning for Traders

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1:51:19

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1. Machine Learning and Artificial Intelligence

1. Mastering Machine Learning for Traders.mp4

03:14

2.1 P1 ML Engine AI.mp4

08:54

2. Examples of Machine Learning Applications for Trading..mp4

08:54

3. Challenges of Machine Learning in Trading.html

4. Machine Learning Pop Quiz.html

2. Key Components of Machine Learning needed in Trading

1. The foundation of Machine Learning.mp4

04:30

2. Key Elements of Machine Learning.mp4

04:43

3. Machine Learning Elements.html

4. Machine Learning Pipeline to Success.mp4

06:11

3. Classic Learning The Big Picture

1. Supervised and Unsupervised Learning.mp4

07:39

2. Case Constructing your own Technical Indicator.mp4

02:21

3. Tasks Map (Big Picture).mp4

04:10

4. Your own Technical Indicator Quiz.html

4. Data The Backbone of Trading

1. Input and Output Data.mp4

04:38

2. Explanatory and Predictive Data.mp4

06:17

3. Tabular and Non-Tabular Data in Machine Learning.html

5. Handle trading data for predictive insights to train AI models

1. Explanatory Data Pt. 1.mp4

06:40

2. Explanatory Data Pt. 2.mp4

10:01

3.1 Adjusting SMA.pdf

3. Adjusting SMA for Traders.html

4.1 KMEANS CLUSTERING REQUIREMENTS FOR FEATURE ENGINEERING.pdf

4. K-Means clustering requirements for explanatory data.html

6. The Key to Accurate Predictions

1. Predictable Data.mp4

09:36

2. Explanatory Data and Predictable Data in Trading.html

3. Imabalanced Predictable Data.mp4

03:02

4.1 Label Requirements for Different Tasks and Algorithms.pdf

4. Predictable Data Requirements for Different Tasks and Algorithms.html

5. Overcoming Imbalanced Predictable Data for Trading.html

7. Cluster Algorithm Detecting Positive Skewness in Index Components

1. Case 2 Clustering S&P 500 Components with Machine Learning.mp4

17:11

2. Clustering S&P 500 Components using Machine Learning.html

8. Optional Coding Cases with Python in Public Free Google Colab

1. Coding Hybrid Indicators with Python in Google Colab.mp4

03:18

2. How to access the material, free and public access, no need to register.html

Description

Learn what pro traders are mastering now-suitable for all levels, no prior experience needed.

What You'll Learn?

Pro Traders' Techniques: Learn what pro traders are doing with machine learning.
Machine Learning Basics: Understand the basics of machine learning for trading.
Custom Indicators: Create your own technical indicators.
How to Select Stocks with an Upward Bias
How to Make Decisions Using the Branches of a Decision Tree

Who is this for?

Traders seeking insights into pro traders' latest strategies.

Beginners curious about trading techniques and strategies.

What You Need to Know?

No programming or market knowledge is required.

All you need is a desire to improve your trading and learn the cutting-edge techniques that are leading the industry.

More details

Description
Successful traders combine quantitative analysis with modern techniques like machine learning to make informed decisions. This course teaches you the same techniques we teach to pro traders, using straightforward language and clear explanations, so you can understand and apply them just as they do. No prior knowledge requiredâ€”everything is within your reach.

Stable Psychology: ML algorithms help reduce the impact of emotions on trading decisions, eliminating subjectivity and impulsiveness.
Solid Trading System: Algorithms identify market patterns and opportunities, improving the accuracy and consistency of your strategies.
Continuous Learning: ML models improve over time with more data, helping you adapt to changing market conditions.
Adaptability: ML algorithms quickly adapt to new trends and market changes, keeping you realistic and prepared.
In this course, you'll learn to apply machine learning in technical analysis, including the use of technical indicators. Discover how advanced algorithms can enhance your trading decisions, giving you an edge in the stock market. Take your trading strategies to the next level with the power of machine learning.
You'll see what pro traders are mastering now and realize that, with the right guidance, it's as accessible to you as it is to them. Learn to create your own technical indicators, cluster stocks, and master classification algorithms, all with practical examples and real data. This guide will show you how traditional technical analysis can be extraordinarily enhanced by machine learning.
The course includes real case studies and cloud-based Python tools that require no local installation. Upon completing the course, you'll be equipped to advance with your own models or adjust the ones provided.
Who this course is for:
Traders seeking insights into pro traders' latest strategies.
Beginners curious about trading techniques and strategies.

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