title: Randomness of random number algorithms
body: <p>there are conformity tests to tell whether a particular RNG method, programmable or mechanical is close to so called true random numbers
  <a href="https://en.m.wikipedia.org/wiki/Statistical_randomness" rel="nofollow">https://en.m.wikipedia.org/wiki/Statistical_randomness</a></p>
  
  <p>it is based on the hypothesis that, true random numbers should not have any patterns and regularities. I guess in a short they are trying to ensure "equal distribution" in a large set of data but an homogeneous or equal distribution is another sort of regularity ( A pattern ), wouldnt that be a violation of original randomness theory?</p>
  
  <p>I have made a stock chart (trading) using a random number function (javascript), it draws a chart very similar to natural stock market charts, I am wondering what implications would have when using this technique? </p>
  
  <p>i am not worried about "true randomness" (if there is anything as such) but the conformity tests used to approve those algos maybe a problem, the chart is range bound, it has short trends, noises and everytime something new design when i refresh.</p>
  
  <p>my code is like this:</p>
  
  <p>initialize share price lets say 100.00, then run a loop 10k times, and call random function ( returns between 0 to 1 ) if the value is less than 0.5, i add 0.1 to original price or deduct 0.1, i have also tried randomizing 0.1</p>