Descriptions
MQL5 MACHINE LEARNING 02: Deep Learning For Algo-Trading, The forex market is a dynamic environment driven by complex data, requiring traders to recognize intricate patterns and adapt quickly. While traditional methods have their place, their limitations are clear in today’s fast-changing landscape. Deep Neural Networks (DNNs) have emerged as a revolutionary solution, transforming forex trading by uncovering hidden trends and relationships that escape the human eye. Unlike single-layer perceptrons, which act like lone traders with limited specialization, DNNs function as collaborative teams of analysts, with each layer building on the insights of the previous one to reveal the bigger picture with remarkable clarity.
This course builds on your neural network knowledge and takes you deep into DNNs for forex trading. You’ll start with a hands-on DNN project in Excel, learning about forward pass, backpropagation, and gradient descent. Then, you’ll transition to coding DNNs in MQL5, covering network design, parameter setting, data preparation, and signal extraction. By the end, you’ll understand both the theory and practical coding of DNNs for forex trading, ready to apply these powerful tools to real-world problems.
What you’ll learn
- The applications of Deep learning in Algorithmic trading
- How to code a Deep neural network in Excel spreadsheets
- How to code a Deep neural network in MQL5
- How to develop a Machine learning model and design it
Who this course is for
- Anyone willing to learn Deep learning in MQL5
Specificatoin of MQL5 MACHINE LEARNING 02: Deep Learning For Algo-Trading
- Publisher : Udemy
- Teacher : Latvian Trading Solutions , Omega Joctan , Joy D Moyo
- Language : English
- Level : Intermediate
- Number of Course : 33
- Duration : 6 hours and 4 minutes
Content of MQL5 MACHINE LEARNING 02: Deep Learning For Algo-Trading

Requirements
- Must have taken:: MQL5 Machine learning 01: Code Neural Networks for Algo Trading
- MQL5 Beginner Programming experience needed
Pictures

Sample Clip
Installation Guide
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Subtitle : English
Quality: 720
Download Links
Password file(s): www.downloadly.ir
File size
2.34 GB