This is an experimental study designed to forecast the range of price movement from a specified starting point using a Monte Carlo simulation.
Monte Carlo experiments are a broad class of computational algorithms that utilize random sampling to derive real world numerical results.
These types of algorithms have a number of applications in numerous fields of study...
In Finance, people usually assume the price follows a random walk or more precisely geometric Brownian motion. In 1988, Lo and MacKinlay came up with the variance ratio test to refute the random walk hypothesis and efficient market hypothesis. The variance ratio test is a simple test for market efficiency, autocorrelation, and whether price follows a random walk....
Hello All,
Monte Carlo Simulation is a model used to predict the probability of different outcomes when the intervention of random variables is present. it is used by professionals in such widely disparate fields as finance, project management etc. You can find many articles about Monte Carlo Simulation on the net.
In this script I tried to make Monte Carlo...
**This indicator can be applied to the ticker of your choice (not just BTC)**
Markets are said to be "efficient". An efficient market is by definition unpredictable - no matter the amount of ML, computation, or indicators thrown at it. In particular, in an efficient market, TA will not be of help.
An illustration of efficient markets is the WSJ's longstanding...
![BTCUSD: Monte Carlo Range Forecast [DW]](https://s3.tradingview.com/u/ujVS2XfG_mid.png "Monte Carlo Range Forecast [DW]")
![SPX500USD: Variance Ratio Test [pig]](https://s3.tradingview.com/y/yLmf8U9b_mid.png "Variance Ratio Test [pig]")
![BTCUSD: [BCT] Can BTC be predicted or is it purely random?Variance Ratio](https://s3.tradingview.com/j/jvcnhSsN_mid.png "[BCT] Can BTC be predicted or is it purely random?Variance Ratio")
