In turn, cryptocurrency exchange platforms such as Binance have been feeling the heat across the world as regulators and governments have started to pay close attention to the operations of such platforms in the wake of the global crackdown on crypto.
However, while there are some organisations that accept it as currency, others shy away due to Bitcoin’s dramatic price swings. Driven largely by speculation, the price per Bitcoin rose sharply from $1,151 in January 2017, to an all-time high of $19,783 in December the same year.* It then dropped to below $7,000 by February 2018 and rallied again to around $11,000 over a matter of days, before plunging once more to trade below $4,000. Subsequently, one of the key characteristics of Bitcoin that traders should understand is its potential for extreme volatility.

At each point information from neighbouring data is used. As the time series considered are finite, the areas at the start and end of the data (especially at higher period bands) will not have all the data required. One solution to make computation possible, chosen here, is to pad the time series with zeros where required. However, the zero padding will impact the reliability of the results. It is standard to use a cone of influence to represent this difference in reliability of results. Pale colours represent those areas outside the cone of influence with less reliable results (as seen on Fig 3). Higher period bands require more data for computation resulting in the cone shape.
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