Discussion of article "Data Science and Machine Learning (Part 12): Can Self-Training Neural Networks Help You Outsmart the Stock Market?"

[MetaQuotes]

New article Data Science and Machine Learning (Part 12): Can Self-Training Neural Networks Help You Outsmart the Stock Market? has been published:

Are you tired of constantly trying to predict the stock market? Do you wish you had a crystal ball to help you make more informed investment decisions? Self-trained neural networks might be the solution you've been looking for. In this article, we explore whether these powerful algorithms can help you "ride the wave" and outsmart the stock market. By analyzing vast amounts of data and identifying patterns, self-trained neural networks can make predictions that are often more accurate than human traders. Discover how you can use this cutting-edge technology to maximize your profits and make smarter investment decisions.

I ran a short optimization and picked up the following values. copy_rates_x: COPY_RATES_LOW, n_samples: 2950, Slippage: 1, Stop loss: 7.4, Take profit: 5.0.

This time the model gave a 61.5% training accuracy and a 63.5% testing accuracy at the beginning of the strategy tester. Seems reasonable.

Author: Omega J Msigwa

[Too Chee Ng]

A good demo to show the possibility of self-training(tuning) ML EA.

This is still early days of MQL ML. Hopefully as time goes by, more and more people will use MALE5. Looking forward to its maturity.