Forecasting Bitcoin Prices on March 2018 using Monte Carlo Method

Timeframe (Chart) : D1 (Daily)
Timeframe (Projection) : Monthly
Period : 1 March - 31 March 2018
Method : Monte Carlo Method
Random Number Generation : Pseudo Random Number Generator (PRNG)
Random Number Generator Algorithm : B.A. Wichman and I.D. Hill Algorithm
Input Parameters :

1. Daily Market Cap Growth and Decay (Gaussian/Normal Distribution)
2. Drift (Beta Distribution)
3. Forecasted BTC Supply (Linear Time Series Function)
4. Supply Decay Factor (Lower Incomplete Gamma Function)
   Numbers of iteration : 40,000 steps

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