Fractal Bitcoin signal can be at USD 20,000 in July 7

in #bitcoin5 years ago (edited)

In fact, as seen above, Bitcoin's momentum originates from early 5-month movements, experiencing similar discounts and restorations at similar points. This fractal is so accurate that when it has predicted the recent action from 8,000 to 8,900 USD, this is an unexpected movement that often causes many traders to lose sight of vigilances. As Kaleo noted after a 10% increase on Sunday last week, the trends of the chart are almost identical, even in terms of the hourly price action.

 Source: Internet 

What even more convincing is that as Kaleo predicted, BTC has collapsed in the next days, falling to 8,000 USD and this is just the beginning. Published a few hours ago, the analyst noted that since falling to reach the number of rounds seen in the chart above, BTC has tracked the price action of fractal with a small spread, reflecting the effect the blue border is seen on the Under.

The sketch shows that BTC will be at the top of 8,650 in the coming hours, then dropped to 8,000 USD again and fluctuates around 8,000 USD or lower in the coming days. Although the re-test of 8,000 USD, in the eyes of some analysts, determines the tendency to decline; However, fractal seems to be the most reliable signal to track at this time.

And if this signal is again showing the right trend, then the next stage is shocking for many people. If the entire fractal takes place, which means that all the movements in the early 5th month are again taking place again, but this time on a greater period, we have the card will be taken straight to 20,000 USD, as Kaleo said. Indeed, the fractal above, which is organized according to the apparent parabolic pattern, shows that Bitcoin can roll the mold by 20,000 in the month 7, and then a 20% larger pullback is likely to take place relatively large. This can be ridiculous, especially when considering that BTC increased to 20,000 in the next 60 days will deny any traditional model in the asset pricing. However, to date, the fractal signal was almost completely accurate.

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