When that’s the case and demand increases, the price of that underlying asset goes up. Roughly speaking, this is the simplest way to address how the prices of cryptos fluctuate.
If the price turns down from $1.41 but rebounds off the $1.24, it will suggest that traders continue to buy on dips. That will increase the likelihood of a breakout of $1.41. This positive view will be negated if the bears sink and sustain the price below the 20-day EMA ($1.17).

We set the stage for our formal econometric analysis by providing some graphical evidence. For example, in Figure 1, we see a close mapping of the prices of Bitcoin and Ethereum with their respective computing power values. Moreover, in Figure 2, we observe an even stronger mapping of the prices of Bitcoin and Ethereum with their respective network values. Interestingly, these graphs also show that when prices significantly exceed the trend in computing power or network (as was the case in late 2017), prices eventually fall and trace the trend in fundamentals. The convergence of prices to the trend with fundamentals suggests that fundamentals are the ultimate, long-run determinants of prices.
Once this initial interval expires, Binance.US will introduce a uniform fee schedule, with flat-fee amounting to 0.10% per trade for personal accounts. In other words, the purchase of 100 USD worth of BTC, for example, will take USD 0.10 out of your pocket. The fee schedule for corporate accounts will be adjusted based on the associated trading volume.