Great job on your article series!
Your adventures in the world of neural networks seem to parallel mine.
Thanks for taking the time to write and share with all of us.
Guilherme Mendonca #:
Great job on your article series!
Your adventures in the world of neural networks seem to parallel mine.
Thanks for taking the time to write and share with all of us.
Thanks for the feedback. Very pleased to hear.
Hey Roman, Thank you very much for these articles you shared.
I would like to know if you have provided an explination for what these values are refering to?
I would like to know if you have provided an explination for what these values are refering to?
string EURUSD[][37]=
{
{"1.71225","-1","-1","-1","0.6","-0.5","0.5","-1","-1","-1","-1","-0.3","-0.5","-0.3","0.6","0","-0.4","0.1","0.1","-0.5","0.9","-0.3","0.5","-0.4","0","0.1","0.1","-0.2","-0.8","-0.5","0.5","0.3","0.8","-1","-1","-1"},
.....
in the 4-4-3 fan 4 SL TP 24 - trade (200 230) script.
and woukd I be able to get these values from other pairs?
Thank you in advanced.
Taher
.....
in the 4-4-3 fan 4 SL TP 24 - trade (200 230) script.
and woukd I be able to get these values from other pairs?
Thank you in advanced.
Taher

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New article Experiments with neural networks (Part 4): Templates has been published:
In this article, I will use experimentation and non-standard approaches to develop a profitable trading system and check whether neural networks can be of any help for traders. MetaTrader 5 as a self-sufficient tool for using neural networks in trading. Simple explanation.
A template is a kind of construction similar to a "floating pattern". Its values are constantly changing depending on the situation on the market, but each of the values is in a certain range, which is what we need for our experiments. Since we already know that the data that we transmit to the neural network should be in a certain range, the value in the template is rounded up to an integer for simplicity and better understanding by the perceptron and the neural network. Thus, we get more situations for triggering conditions and less load on the perceptron and the neural network. Below you see the first of the templates that came to my mind. I called it a fan. I think, the similarity is obvious. We will not use indicators in this article, instead we work with candlesticks.
Below are examples using history zooming so we can analyze a shorter or deeper history.
Using an equal number of candles in templates is not a prerequisite, which gives an additional field for reflection on the relevance of previous price values. In our case, these are the closing prices of the candles.
It is important to understand that in the examples using the DeepNeuralNetwork.mqh library for 24 candles, we use different libraries that I described in the previous articles. They have different input settings. Namely, 4 and 8 parameters for the input of the neural network. You do not have to worry about it. I have already added EAs and necessary libraries in the attachment.
2.1 Fan template of four values stretched over 24 candles. It is equal to one day on H1.
Let's describe what we will transfer to the perceptron and the neural network for better understanding:
Author: Roman Poshtar