Discussing the article: "Integrating Computer Vision into Trading in MQL5 (Part 2): Extending the Architecture to 2D RGB Image Analysis"
I appreciate your work. Thanks for helping the community.
Familiar style of presentation 🤣
Today, apparently, human authors have stopped formulating thoughts on their own.
IvanIvanych, can be used not only to suck "beautiful" epithets out of a finger, but also to analyse verbal patterns:
"The article demonstrates the characteristic features of an AI-created text, including high technical accuracy, structuredness, and tight publication deadlines. The sterile style of presentation and the use of complex concepts such as Attention mechanisms indicate the active use of neural networks to produce the material."
Good luck with mastering the budgets 🖖
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Check out the new article: Integrating Computer Vision into Trading in MQL5 (Part 2): Extending the Architecture to 2D RGB Image Analysis.
In the first part of our research we showed how convolutional neural networks can analyze time series of currency quotes through one-dimensional filters. Now we are taking a qualitative leap: we are going to teach algorithms to perceive the market as a holistic landscape filled with textures, patterns, and hidden signals.
Transforming dry numerical series into images allows the algorithm to analyze the market from a completely new perspective. This is exactly how master traders think, seeing not just tables of data, but a living picture of the market, where every detail carries a significant signal. The algorithm rises above the one-dimensional representation, revealing structures and patterns that remain invisible in numerical series.
Author: Yevgeniy Koshtenko