(5/21, Fri) btc rose 10.3% closing above $40000, which needs more days to go over $45000

jhdklk853 (75)in #btc • 3 years ago

Yesterday(5/20 00:00 - 24:00, UTC+0), bitcoin price recorded its starting as $36812, its lowest as $34873, its highest as $42444, its closing as $40620. Bitcoin declined briefly after the start of Thursday, reached a low at 00:45 and started rebounding, breaking through $40,000 at 06:30, reaching a high at 13:15, then falling again to below $40000 at 16:00 and rebounded, closing +10.3% up $40,000.

Based on the previous day's low of $28157, yesterday's closing price rose 44.3%, which rebounded to almost the same level as the 43.5% increase the day after falling to $3600 on 3/13 of last year. If so, it will be interesting to predict how the chart will be drawn after this major crash if you look at how the chart was drawn in the situation last year. Perhaps if the fractal is repeated again this time, a chart can be drawn that rises again after moving between $34000-45000 for 3-4 days.

In the financial market, despite the fact that some members made comments suggesting policy changes in the minutes of the April FOMC meeting released on the previous day, the NASDAQ index rose significantly yesterday, which could reverse the atmosphere that had negatively affected the cryptocurrency market for last few weeks.

The U.S. Fed chairman said he plans to release a report on the issuance of CBDC this summer, and said that appropriate regulations on cryptocurrencies and stablecoins are needed. It can be understood that the issuance of digital dollars is intended to counter China's digital renminbi, but it will never be favorable to the cryptocurrency market that the two major powers will prepare for the CBDC and continue to regulate cryptocurrency and stablecoins as potential risks.

Whenever the price of bitcoin is leveled up step by step, it is clear that these country-level regulations will be held back, and if so, it can be said that cryptocurrency market participants will be able to achieve profit maximization by using a hit-and-run strategy.