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schnick - A Support Vector Machine Learning Tool for Classification
Info
The schnick - A Support Vector Machine Learning Tool for Classification is a Script for MetaTrader 5 that this script introduces a support vector machine (svm) learning tool for classification problems, inspired by a hypothetical scenario in animal research. Imagine a researcher studying a rare species called 'schnicks' in the Arctic.
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 schnick - A Support Vector Machine Learning Tool for Classification
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
This script introduces a Support Vector Machine (SVM) learning tool for classification problems, inspired by a hypothetical scenario in animal research.
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: creating a simple news filter for xau u s d trading on mt5 - another powerful script for MetaTrader 5 traders.
This script introduces a Support Vector Machine (SVM) learning tool for classification problems, inspired by a hypothetical scenario in animal research.Also recommended: File Integer Retrieval - similar script with strong performance on MetaTrader 5.
Imagine a researcher studying a rare species called 'schnicks' in the Arctic. With limited data (around 5000 samples), the challenge is to identify and classify new animals as schnicks or non-schnicks.
The script demonstrates how SVM can be used to address this classification problem. It involves creating a training dataset with inputs and corresponding outputs, allowing the SVM to identify patterns and classify new data.
The tool's effectiveness is showcased in the accompanying article, which includes a step-by-step guide on using the script and its potential applications in market trend analysis. The article provides insights into leveraging machine learning for data-driven decision-making.
Code:
You may also like: history select by position - excellent alternative for script users on MetaTrader 5.
Source Code
#property copyright "robotfx"
#property link "https://robotfx.org"
#property version "1.00"
#import "svmachinetool.ex5"
enum enum_trade {buy,sell};
enum enum_option {op_memory,op_maxcycles,op_tolerance};
int initsvmachine(void);
void setindicatorhandles(int handle,int &indicatorhandles[],int offset,int n);
void setparameter(int handle,enum_option option,double value);
bool genoutputs(int handle,enum_trade trade,int stoploss,int takeprofit,double duration);.......
⚠ 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.