ON N X Trader
This professional-grade solution for MetaTrader 5 helps traders achieve greater efficiency in their daily workflow. This Expert Advisor serves as automated trading software. It is utilized to monitor financial markets and execute trades based on predefined algorithmic rules, enabling precise position management without the need for constant manual oversight.
How to Setup and Use ON N X Trader
1. Installation: Open the "File" menu, select "Open Data Folder," navigate to MQL/Experts, paste your file, and restart the terminal.
2. Activation: Drag the EA from the Navigator onto a chart, ensure "Allow live trading" is checked in the Common tab, and verify the AutoTrading button is green.
3. Optimization: Right-click your chart, choose "Expert List," click "Properties" to adjust inputs, and save your preferred setup as a set file for future use.
4. Maintenance: Regularly check the "Experts" tab in the terminal window to monitor trade logs and potential execution errors.
Frequently Asked Questions
Q: Why is my EA not opening trades? A: Check the "AutoTrading" button, ensure "Allow live trading" is enabled, and verify your broker allows automated trading on your account type.
Q: Can I run multiple EAs on one chart? A: No, each chart can only host one active EA; however, you can open multiple charts for different currency pairs to run several EAs.
Q: What does the "smiley face" icon mean? A: A smiley face in the top-right corner of the chart indicates the EA is successfully running; a frowny face means it is disabled.
Description & Settings
An archive of the models from the . You can train your own, because the models can be very different, depending on the training hyperparameters.
Machine learning models are trained in Python and converted to ONNX format. You don't need to change their parameters and code in the encludnik.
The settings are simple:
But you can add your own filters to try to make the models trade better.
At least you can optimise stoploss and take profit, on any timeframe
The model is connected via a header file, e.g.:
31 March 2024. Added examples from the article about "".
"ONNX Trader Clusters" bot, ONNX models and include file. Clustering is done by k-means method.
Training is done from 2010 to 2020. Forward - from 2020 to 2024.
The
"Onnx Trader
" bot supports the second method of training from the article"Matching trades using clustering"
To do this, connect the iniclude file <EURUSD ONNX include10.mqh>, which will pull up the corresponding models "catmodel10.onnx" and "catmodel_m10.onnx"
Models are trained on EURUSD H1, but can be used on any timeframe!
