Master Linear Regression for Algo Trading in MQL5 (2024 Pro)
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3:42:56
1 -What you will Learn.mp4
03:28
2 -Introduction to Linear Regression.mp4
04:35
3 -Choosing Dependent and Independent variables.mp4
07:54
4 -Generating Predictions.mp4
15:56
5 -Calculating the standard deviation.mp4
13:48
1 -Setting Indicator Properties.mp4
08:59
2 -Creating Indicator Buffers.mp4
03:51
3 -Checking for Data points value validity.mp4
04:49
4 -Setting buffer indices and plot labels.mp4
05:38
5 -Declaring local variables.mp4
06:12
6 -Calculating the gradient and y intercept.mp4
08:36
7 -Regression Line calculations.mp4
15:14
1 -Linear Regression Mean Reversion Strategy.mp4
13:12
2 -General EA parameters.mp4
13:11
3 -Changing the calculation interval.mp4
05:17
4 -Creating Trade Objects.mp4
06:08
5 -Getting indicator values.mp4
15:41
6 -Regulating trade count.mp4
05:35
7 -Calculating the Position Size.mp4
08:12
8 -Generating EA Signals.mp4
10:48
9 -Executing Trades.mp4
14:41
10 -Calculating the average entry price.mp4
05:14
11 -Closing positions.mp4
09:31
12 -Testing the strategy.mp4
15:19
1 -Conclusion.mp4
01:07
More details
Course Overview
This complete guide teaches you how to develop and implement linear regression models for algorithmic trading in MQL5, from spreadsheet concepts to fully coded Expert Advisors.
What You'll Learn
- Fundamentals of Linear Regression and its trading applications
- How to code a Linear Regression Indicator in MQL5
- Developing and testing a complete trading strategy with Expert Advisors
Who This Is For
- Algorithmic traders wanting to add machine learning techniques
- MQL5 developers expanding their quantitative skills
- Traders interested in time series forecasting
Key Benefits
- Hands-on experience with regression-based trading strategies
- Learn mean reversion techniques for market analysis
- Complete workflow from concept to live implementation
Curriculum Highlights
- Introduction to Linear Regression concepts
- Coding a Linear Regression Model Indicator
- Developing a Regression-Based Expert Advisor
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Category
- language english
- Training sessions 25
- duration 3:42:56
- Release Date 2025/05/25
