One example is the negative correlation that occurs between Ethereum and its associated factors around June 2016 (left facing arrows at the top and just left of the horizontal middle of the Ethereum scalograms). During this time interval, one of the most well-known applications at the time, the DAO, built on top of the Ethereum environment, was hacked. It can be seen that all factors are negatively correlated in the short term with the price during this time interval. As a result of the uncertainty generated by the hack, price dropped sharply, but activity on social media and interest increased (causing the negative correlation). The negative relationship can be seen during the 2–4 day band for all factors.
As transactions increase, the service charge will be gradually decreased up to by 10%, thus bridging the gap between early and late investors. 4JNET’s early investors need to pay high service charges even if they buy at an earlier time, which are automatically put into the liquidity pool to promote steady price increase and alleviate price instability that results from the selling pressure.

This year we saw a similar fight break out–this time over bitcoin cash. This coin, mind you, is not bitcoin, though it is built on the same architecture. It was created by a group of miners who disagreed with some of the fundamentals of the initial bitcoin system, and so they forked a new blockchain and went their own way. In terms of market capitalization, bitcoin cash has always been one of the top cryptocurrencies–in the ranks of Ethereum and XRP.
The spread is the difference between the buy and sell prices quoted for a cryptocurrency. Like many financial markets, when you open a position on a cryptocurrency market, you’ll be presented with two prices. If you want to open a long position, you trade at the buy price, which is slightly above the market price. If you want to open a short position, you trade at the sell price – slightly below the market price.