"With more participants in Bitcoin, there is perhaps less volatility, which is in turn attracting more institutional investors and further promoting the stability of the popular cryptocurrency.”
Pa´stor, L. and P. Veronesi (2006), “Was there a NASDAQ bubble in the late 1990s?”, Journal of Financial Economics 81 (1), 61–100.

Then 5% goes to buying back and burning tokens to reduce circulation and increase demand for the token. The buyback and burning process is automated. With every transaction, 5% of the 12% fee goes to the Buyback smart contract, which automatically buys tokens from the liquidity pool and burns them. Therefore, Safemoon members would also want to invest in a coin whose supply is diminishing hence a consistent increase in the price of the coin.
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.