Udemy - Machine Learning - Algorithmic Trading With Random Forests

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Udemy - Machine Learning - Algorithmic Trading With Random Forests (Size: 2.5 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Introduction
  1 - Decision Trees.mp4 225.8 MB
  2 - Developing A Random Forest Trading Strategy
  10 - Remarks On Random Forest Models.mp4 182 MB
  3 - Conclusion
  11 - Conclusion.mp4 28 MB
  4 - Coding A Script For Data Collection.mp4 392.6 MB
  5 - Collecting Price Data.mp4 78.1 MB
  6 - Coding A Random Forest Model.mp4 318.2 MB
  7 - Constructing The Random Forest Model.mp4 47.8 MB
  8 - Coding The Random Forest Ea.mp4 481.3 MB
  9 - Testing The Random Forest Ea.mp4 321.4 MB
  2 - Random Forests.mp4 213.5 MB
  3 - Visualizing A Random Forest In Excel.mp4 302.6 MB

Description


Machine Learning: Algorithmic Trading With Random Forests
https://WebToolTip.com
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz

Language: English | Size: 2.53 GB | Duration: 3h 30m
A comprehensive guide in developing Random Forest Models and Expert advisors
What you'll learn

Extract, clean, and structure years of historical intraday market data natively in MQL5 for machine learning analysis.

Engineer predictive mathematical features from standard price data to highlight volatility shifts and institutional liquidity.

Understand the core mechanics of decision trees and combine them into a stable Random Forest consensus model.

Program a fully automated MQL5 Expert Advisor that utilizes dynamic position sizing based on real-time probabilities.
Requirements

A basic understanding of the MQL5 programming language.

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