Udemy - MQL5 MACHINE LEARNING - Code EAs with Hidden Markov Models
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1 GB
- Uploaded Byfreecoursewb
- Downloads25
- Last checkedApr. 10th '26
- Date uploadedApr. 10th '26
- Seeders 1
- Leechers10
MQL5 MACHINE LEARNING: Code EAs with Hidden Markov Models
https://WebToolTip.com
Published 3/2026
Created by Latvian Trading Solutions, Joy D Moyo
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 1h 11m ) | Size: 1.1 GB
Master Algorithmic Trading: Build a Probabilistic Classifier using MQL5, Base-Encoding, and Hidden Markov Models
What you'll learn
✓ Master the mathematics of Hidden Markov Models and Log-Likelihoods to eliminate emotional trading.
✓ Code a massive 10-year historical data-mining engine in MQL5 to extract institutional footprints.
✓ Mathematically compress raw price action into 36 Elite Market States using Base-Encoding.
✓ Build an automated Ensemble Expert Advisor that uses multi-timeframe voting to predict daily regimes.
✓ Implement dynamic quantitative risk management that scales position size based on statistical confidence.
✓ Replace traditional lagging indicators with predictive machine learning algorithms.
Requirements
● A basic understanding of trading strategy development
Files:
[ WebToolTip.com ] Udemy - MQL5 MACHINE LEARNING - Code EAs with Hidden Markov Models- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction
- 1. Introduction.mp4 (102.2 MB)
- 2. Demonstrating HMM using a spreadsheet.mp4 (131.9 MB)
- 3. Analysing the script for price data collection.mp4 (73.2 MB)
- 4. Building a hidden Markov model on a spreadsheet.mp4 (320.6 MB)
- 5. Analysing the script that gets the hidden Markov Model trained.mp4 (145.5 MB)
- 6. Training the Hidden Markov Model with 10 year historical data.mp4 (51.4 MB)
- 7. Analysing the Expert Advisor code.mp4 (111.9 MB)
- 8. Testing the Expert Advisor.mp4 (112.2 MB)
- 9. Conclusion.mp4 (21.8 MB)
- Bonus Resources.txt (0.1 KB)
Code:
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