Schnick - Support Vector Machine Learning Tool Tester
Info
The Schnick - Support Vector Machine Learning Tool Tester is a Script for MetaTrader 5 that this script was written to form part of the article posted on the mql5 website. Imagine this hypothetical scenario, you are a researcher investigating a rare animal only found in the depths of the Arctic called Shnicks.
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 - Support Vector Machine Learning Tool Tester
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 was written to form part of the article posted on the MQL5 website.
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: Automatic Posting with Web Request() - another powerful script for MetaTrader 5 traders.
This script was written to form part of the article posted on the MQL5 website.
Also recommended: Calculate unrealized profit(s) at a specific time in history - similar script with strong performance on MetaTrader 5.
Imagine this hypothetical scenario, you are a researcher investigating a rare animal only found in the depths of the Arctic called Shnicks. Given the remoteness of these animals, only a small handful have ever been found (lets say around 5000). As a researcher, you are stuck with the question... how can I identify a Schnick?How can we use this data to identify a new animal as a schnick?
One possible solution to our problem is to use a support vector machine to identify the patterns in the data and create a framework that can be used to classify animals as either a schnick or not a schnick. The first step is to create a set of data that can be used to train your support vector machine to identify schnicks. The training data is a set of inputs and matching outputs for the support vector machine to analyze and extract a pattern from.
This script attempts to demonstrate the power of using support vector machines in solving classification style problems by using the Support Vector Machine Learning Tool available in the . A full description of this hypothetical problem and script can be found in the article . The article includes a walkthrough of how to use the script and how this problem can give insights into using machine learning for assessing market trends.
Code:
You may also like: s Charts Synchro Scroll - 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.