Udemy - Machine Learning - Algorithmic Trading With Random Forests

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.5 GB
  • Uploaded Byfreecoursewb
  • Downloads89
  • Last checkedMay. 03rd '26
  • Date uploadedMay. 02nd '26
  • Seeders 2
  • Leechers70

Infohash : C6D60C0FAC56A928FFCC2B2E3C719E834B2C4FEC

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.

Files:

[ WebToolTip.com ] Udemy - Machine Learning - Algorithmic Trading With Random Forests
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Decision Trees.mp4 (225.8 MB)
    • 2 - Random Forests.mp4 (213.5 MB)
    • 3 - Visualizing A Random Forest In Excel.mp4 (302.6 MB)
    2 - Developing A Random Forest Trading Strategy
    • 10 - Remarks On Random Forest Models.mp4 (182.0 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)
    3 - Conclusion
    • 11 - Conclusion.mp4 (28.0 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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