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Yayınlandı:

2023.01.05 22:42

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2023.01.06 15:04

\MQL5\Scripts\Xoshiro256\

Xoshiro256.mqh (28.27 KB) görüntüle

demo_examples.mq5 (6.02 KB) görüntüle

speed_benchmark.mq5 (3.07 KB) görüntüle

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Xoshiro256** Random Number Generator

xoshiro256** (named after its operations: XOR, shift, rotate) is a pseudorandom number generator designed by Sebastiano Vigna in collaboration with David Blackman https://prng.di.unimi.it/

This is a 64-bit all-purpose, rock-solid generator. It has excellent (sub-ns) speed, a state size (256 bits) that is large enough for any parallel application, and it passes all known statistical tests.

The xoshiro256** algorithm is not suitable for cryptographic purposes, but is very fast and has excellent statistical properties.

It is presently used in Microsoft's .NET framework and the JavaScript engines of Chrome, Node.js, Firefox, Safari and Microsoft Edge.

The algorithm used here is translated from the https://prng.di.unimi.it/xoshiro256starstar.c reference source code by David Blackman and Sebastiano Vigna.

Class Xoshiro256

The class provides an easy interface for random number generation.

//+------------------------------------------------------------------+
//| Class Xoshiro256                                                 |
//| Usage: Provides an implementation of the Xoshiro256** algorithm. |
//+------------------------------------------------------------------+
class Xoshiro256
  {
public:
   //--- Constructor and destructor
                     Xoshiro256(void);                                   // Constructor (auto-seed)
                     Xoshiro256(ulong s0_,ulong s1_,ulong s2_,ulong s3_);// Constructor (custom seed)
                    ~Xoshiro256(void) {   }

   //--- Methods for generation of random numbers
   int               RandomInteger(void);                                // Random integer [0,2147483648)
   int               RandomInteger(const int max);                       // Random integer [0,max)
   int               RandomInteger(const int min,const int max);         // Random integer [min,max)

   long              RandomLong(void);                                   // Random long [0,ULONG_MAX+1)
   long              RandomLong(const long max);                         // Random long [0,max)
   long              RandomLong(const long min,const long max);          // Random long [min,max)

   double            RandomDouble(void);                                 // Random double  [0.0,1.0)
   double            RandomDouble(const double max);                     // Random double  [0.0,max)
   double            RandomDouble(const double min,const double max);    // Random double  [min,max)

   bool              RandomBoolean(void);                                // Random true/false (equal probability)
   bool              RandomBoolean(const double prob_true);              // Random true/false (with prob_true)

   double            RandomNormal(void);                                 // Random double (normal distribution)
   double            RandomNormal(const double mu,const double sigma);   // Random double (normal distribution)
  };

If your are doing a lot of Monte Carlo simulations, then this xoshiro256** generator will be much faster and more accurate than MQL's MathRand():

//+------------------------------------------------------------------+
//|                                              speed_benchmark.mq5 |
//|                                        Copyright © 2018, Amr Ali |
//|                             https://www.mql5.com/en/users/amrali |
//+------------------------------------------------------------------+
#include "Xoshiro256.mqh"
//--- the random number generator object
Xoshiro256 prng;

#define ITER (500*1000*1000)  // 500 millions
//+------------------------------------------------------------------+
//|                                                                  |
//+------------------------------------------------------------------+
void OnStart()
  {
//--- MathRand() benchmark.
   uint t1 = GetTickCount();
   for(int i = 0; i < ITER; i++)
     {
      MathRand();
     }
   uint ticks1 = GetTickCount() - t1;

//--- Xoshiro256 benchmark.
   uint t2 = GetTickCount();
   for(int i = 0; i < ITER; i++)
     {
      prng.RandomInteger();
     }
   uint ticks2 = GetTickCount() - t2;

//--- Display results.
   PrintFormat("Generating %d random integers: ", ITER);
   PrintFormat("MathRand() -> %u millisec", ticks1);
   PrintFormat("Xoshiro256 -> %u millisec", ticks2);
   PrintFormat("Speed-up factor is %.1fx", (double)ticks1/ticks2);
  }
//+------------------------------------------------------------------+

// sample output:
/*
 Generating 500000000 random integers:
 MathRand() -> 968 millisec
 Xoshiro256 -> 422 millisec
 Speed-up factor is 2.3x
*/

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xoshiro256 Random Number Generator - MetaTrader 5 için kütüphane

Xoshiro256** Random Number Generator

Class Xoshiro256