Class CRandom
Info
The Class CRandom is a Library for MetaTrader 5 that mathrand() function the standard random number generator in mql has a fairly limited number of possible values from 0 to 32767 (15-bits usable, 2^15 = 32,768 values). It is classified as linear congruential generator (LCG) which is considered a very basic random number generator.
Usage
This tool is typically used for enhancing chart analysis and decision making.
Platform
This Library works exclusively on MetaTrader 5 (both build 600+ and newer versions).
Setup
Place the downloaded file in MQL5/Libraries folder via File ? Open Data Folder in MetaTrader 5.
How to Install and Use Class CRandom
1. Storage: Place library files in the MQL/Libraries directory to ensure they are accessible to your projects.
2. Implementation: Include the library in your code using the #import directive, ensuring you match the exact function names and parameters.
3. Compilation: Ensure the library is present in the directory before you compile your main EA or script, as the compiler links them during this phase.
4. Management: Keep libraries organized in sub-folders if you manage many custom functions to maintain a clean project structure.
Frequently Asked Questions
Q: What is a library file used for? A: Libraries store reusable code modules, allowing you to centralize common logic used by multiple EAs or indicators.
Q: Is a library executable? A: No, libraries are non-executable files containing functions; they must be imported into an EA, indicator, or script to function.
Q: Can I update a library while the platform is running? A: You should compile your EA or script after updating a library to ensure the latest code changes are integrated.
What this tool does
MathRand() Function The standard random number generator in MQL has a fairly limited number of possible values from 0 to 32767 (15-bits usable, 2^15 = 32,768 values).
Typical Use Case
This Library excels in automated trading and technical analysis on MetaTrader 5.
Compatible Platform & Setup
This Library works on MetaTrader 5. Place the file in the MQL5/Libraries folder and restart the terminal.
Description & Settings
Related: Simplified Order Management Class for MT4/MT5 - another powerful library for MetaTrader 5 traders.
MathRand() FunctionThe standard random number generator in MQL has a fairly limited number of possible values from 0 to 32767 (15-bits usable, 2^15 =
Also recommended: Class Calc Frac - Number of bars before and after the current High / Low (calculated fractal) - similar library with strong performance on MetaTrader 5.
32,768 values).
It is classified as linear congruential generator (LCG) which is considered a very basic random number generator.
The implementation of MQL can be found here:
This generator has easily detectable statistical flaws which fail most statistical tests of randomness from the test suite.
For this reason, MathRand() is not suitable for large-scale Monte Carlo simulations or where high-quality randomness is critical.
PCG Random Number Generator
This class is a wrapper class around the high-quality 32-bits PCG generator. This RNG has an output range of 2^32 which means it can generate
4,294,967,296 possible values
.
A permuted congruential generator (PCG) is a pseudorandom number generation algorithm developed in 2014 which applies an output transformation (random shift or rotation) to eliminate the short period problem in the low-order bits that other LCG generators suffer from. It achieves excellent statistical performance with small and fast code, and small state size.
The class provides an easy interface for random number generation.
This GRAPH was obtained for random double numbers from 0 to 10
And, that one for random integer numbers from 0 to 10
The BITMAP of the low-order bits shows also a random pattern
You may also like: The CG V class for working with global variables - excellent alternative for library 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.