Input and output of onnx model
Info
The Input and output of onnx model is a Script for MetaTrader 5 that onnxis an open-source format for representing machine learning models. The script allows the user to select an ONNX model file through a file dialog.
Usage
This tool is typically used for enhancing chart analysis and decision making.
Platform
This Script works exclusively on MetaTrader 5 (both build 600+ and newer versions).
Setup
Place the downloaded file in MQL5/Scripts folder via File ? Open Data Folder in MetaTrader 5.
How to Install and Use Input and output of onnx model
1. Installation: Move your script file into the MQL/Scripts directory and restart the platform.
2. Execution: Drag the script onto a chart; it will perform a one-time action, such as closing all open orders or clearing chart objects.
3. Editing: Use MetaEditor (F4) to modify code, click "Compile," and verify no errors appear in the terminal before running.
4. Removing: Scripts stop automatically, but you can remove them manually by right-clicking the chart and choosing "Remove Script."
Frequently Asked Questions
Q: How are scripts different from EAs? A: Scripts execute a single action and then stop; EAs monitor the market and trade continuously.
Q: Can I assign a hotkey to a script? A: Yes, right-click the script in the Navigator, select "Set Hotkey," and define your preferred keyboard shortcut.
Q: Why did my script stop? A: Scripts are designed to stop immediately after finishing their programmed command; this is normal behavior.
What this tool does
ONNXis an open-source format for representing machine learning models.
Typical Use Case
This Script excels in automated trading and technical analysis on MetaTrader 5.
Compatible Platform & Setup
This Script works on MetaTrader 5. Place the file in the MQL5/Scripts folder and restart the terminal.
Description & Settings
Related: Get info about inputs and outputs of onnx-model - another powerful script for MetaTrader 5 traders.
ONNX
is an open-source format for representing machine learning models. The script allows the user to select an ONNX model file through a file dialog. It then creates an ONNX session, retrieves information about the input and output tensors in the model, and prints this information to the console.
Also recommended: Information about the ON N X model's inputs and outputs - similar script with strong performance on MetaTrader 5.
Here's a breakdown of the script's functionality:File Selection:
The script prompts the user to select an ONNX model file through a file dialog.
Model Processing:
It displays a message indicating that the ONNX model file is being processed, mentioning the file name and indicating that debug logs are enabled.
ONNX Session Creation:
It creates an ONNX session using the selected model file.
If there is an error during the creation of the session, it prints an error message to the console and exits the script.
Input Information:
It retrieves and prints information about the input tensors in the ONNX model.
For each input tensor, it prints the input index, input name, and additional information retrieved using the OnnxGetInputTypeInfo function.
Output Information:
It retrieves and prints information about the output tensors in the ONNX model.
For each output tensor, it prints the output index, output name, and additional information retrieved using the OnnxGetOutputTypeInfo function. The script is useful for inspecting the structure of ONNX models, providing insights into the input and output tensors, their names, and their properties. It is particularly helpful for debugging and understanding the characteristics of ONNX models used in machine learning applications.
You may also like: Strategy report output into a chart - excellent alternative for script users on MetaTrader 5.
⚠ Limitations & Risk Warning
- This tool is provided for educational and testing purposes only.
- Past performance does not guarantee future results.
- Trading involves substantial risk of loss. Use on a demo account first.
- Results may vary depending on market conditions, broker, and settings.
- We recommend thorough backtesting and forward testing before using with real funds.