How Can Mathematical Simulations Enhance Currency Market Predictions?

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The project focuses on simulating human interaction in the currency market, specifically the euro/dollar exchange, using mathematical equations and parameters. A programmer with strong mathematical skills, particularly in calculus and statistics, is sought to develop this simulation. There is a debate about the feasibility of simulating market behavior solely with known equations; some argue that it is indeed possible, as many have successfully done so. The market is described as highly efficient, with dealers aiming to maximize their utility based on available information, though irrational behavior among some dealers can lead to price deviations. The project aims to explore these deviations, their potential for profit, and their impact on price behavior. A basic example of simulating a differential equation is provided using C++, with suggestions for more flexible methods like fuzzy controls.
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I am currenctly doing a project on the mathematics behid human interaction in the currency market. I am looking for a programmer capable of building a program to run simulations based on mathematical equations and other parameters which I will supply that can mimic a real euro/dollar market place. I would love some feedback concerning which programming language would be the most adequate and also I programmer with a good knowledge of mathematics would be perfect (calculus and statistics).

Payment can be discussed.
 
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I think it is impossible to simulate things with only known equations ? What makes you think it is possible ?
 
I don't see why it is not possible; people do it all the time.

The basic idea is that the market price is highly efficient. Dealers try and maximize their utility function with the available information. However these dealers are not all rational; irrational ones force a price deviation. My objective is to study how these deviations occur. Can we profit from them? Does this cause random price behaviour?, etc.
 
well, now i figure out how to simulate a differential equation
for example, if you have
dy/dx=x;
then you can use apen and a piece of paper to get y=1/2x^2

using c++ language, do this

for(x=0;;x++){
y=1/2*x^2;
plotpoint(x,y);
sleep(1000);
}

plotpoint is a function to draw a point. I think that is simulation.
 
There are better methods using fuzzy controls. Its easier to implement and completely flexible.
Check this one out for example,
http://www.comp.nus.edu.sg/~pris/FuzzyLogic/DemoAppIets/IPApplet/IP.html

-- AI
 
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