example of using an on n x model to recognize handwritten numbers

example of using an on n x model to recognize handwritten numbers
Download ALL MT5 experts (1593)
YouTube Video Thumbnail



Similar MetaTrader Tools

example of using an on n x model to recognize handwritten numbers

Info

The example of using an on n x model to recognize handwritten numbers is a Expert Advisor for MetaTrader 5 that an expert advisor that can recognize handwritten digits the database consists of 60,000 images for training and 10,000 images for testing. these images were created by "re-mixing" an original nist set of 20x20 pixel black-and-white samples, which in turn were obtained from the us census bureau and supplemented with testing samples taken from american high school students.

Usage

This tool is typically used for automated trading on major forex pairs and gold.

Platform

This Expert Advisor works exclusively on MetaTrader 5 (both build 600+ and newer versions).

Setup

Place the downloaded file in MQL5/Experts folder via File ? Open Data Folder in MetaTrader 5.


How to Install and Use example of using an on n x model to recognize handwritten numbers

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.

What this tool does

an expert advisor that can recognize handwritten digits the database consists of 60,000 images for training and 10,000 images for testing.

Typical Use Case

This Expert Advisor excels in automated trading and technical analysis on MetaTrader 5.

Compatible Platform & Setup

This Expert Advisor works on MetaTrader 5. Place the file in the MQL5/Experts folder and restart the terminal.

Description & Settings

Related: trade signals using reversal candlestick patterns in mql5 - another powerful expert for MetaTrader 5 traders.

an expert advisor that can recognize handwritten digits

Also recommended: Trade Signals Based on Bullish/Bearish Harami Candlestick Patterns Confirmed by MFI Indicator using MQL5 Wizard - similar expert with strong performance on MetaTrader 5.

the database consists of 60,000 images for training and 10,000 images for testing. these images were created by "re-mixing" an original nist set of 20x20 pixel black-and-white samples, which in turn were obtained from the us census bureau and supplemented with testing samples taken from american high school students. the samples were normalized to 28x28 pixel size and anti-aliased, which introduced grayscale levels.
the trained handwritten digit recognition model mnist.onnx was downloaded from github from (opset 8). those interested can download and try other models, excluding models with opset 1, which is no longer supported by the latest onnx runtime. surprisingly, the output vector was not processed with the activation function, as is common in classification models. well, this is not a problem as we can easily implement this ourselves.
draw digits in a special grid using the mouse, holding down the left mouse button. to recognize the drawn digit, press the classify button.
if the obtained probability for the recognized digit is less than 0.8, the resulting vector with probabilities for each class is printed to the log. for example, try classifying an empty unfilled input field.
for some reason, the recognition accuracy is notably lower for the number nine (9). left-slanted digits are recognized more accurately.

You may also like: Trade Signals Using Morning/Evening Stars Confirmed by CCI Indicator in MT5 - excellent alternative for expert users on MetaTrader 5.

Source Code

#property copyright "RobotFX"
#property link "https://robotfx.org"
#property version   "1.00"
#resource "mnist.onnx" as uchar ExtMnistOnnx[]
long ExtModel=INVALID_HANDLE;
#include <Canvas\Canvas.mqh>
#define SHIFT_X   100
#define SHIFT_Y   100
#define SIZE_X    420
#define SIZE_Y    300

.......

Leave your opinion, ask a question, share some knowledge

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.
© ROBOTFX Free educational tools by RobotFX. Use entirely at your own risk; we are not liable for any financial losses incurred.