The long-term dependence of Bitcoin (BTC), manifesting itself through a Hurst exponent H>0.5, is exploited in order to predict future BTC/USD price. A Monte Carlo simulation with 10 ^5 fractional Brownian motion realisations is performed as extensions on historical data. The accuracy of statistical inferences is 20 \\%DIF < . The most probable Bitcoin price in 180 days is 4537 USD.abstract %DIF > . The most probable Bitcoin price in 180 days is 6358 USD.
The long-term dependence of Bitcoin (BTC), manifesting itself through a Hurst exponent H>0.5, is exploited in order to predict future BTC/USD price. A Monte Carlo simulation with 10 ^4 geometric fractional Brownian motion realisations is performed as extensions of historical data. The accuracy of statistical inferences is 10 \\%DIF < . The most probable Bitcoin price in 180 days is 4537 USD.abstract %DIF > . The most probable Bitcoin price in 180 days is 6358 USD.
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