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Bitcoin (BTC) Volatility Has Never Been So Low, Quarterly Candles Say

Sat, 04/02/2022 - 20:30
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Vladislav Sopov
Analyst William Clemente published interesting chart with quarterly Bitcoin (BTC) candles; it looks like BTC demonstrates a new pattern in 2021-2022
Bitcoin (BTC) Volatility Has Never Been So Low, Quarterly Candles Say
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Bitcoin (BTC) supporters on Twitter are guessing at what a new pattern means and how it could affect Bitcoin (BTC) price dynamics in 2022.

"Sideways for a year": Bitcoin (BTC) prints Doji candles on quarterly chart

Mr. Clemente, lead insights analyst at Blockware and popular crypto podcaster, has taken to Twitter to share the chart that displays Bitcoin (BTC) performance quarter by quarter on a logarithmic scale.

It looks like Bitcoin (BTC) printed two ultra-thin candlesticks in a row, a situation unseen in its history. Thus, the period from Q4, 2021, to Q1, 2022, may be less volatile for Bitcoin (BTC).

Mr. Clemente's Twitter followers shared various interpretations of this pattern that looks like what is called Doji Candlesticks among traders and analysts.

Some of them are certain that two thin candles are signaling massive consolidation, while other commentators indicate that this is a clear marker of Bitcoin's maturation as an asset.

Does Bitcoin (BTC) love April?

Bitcoin (BTC) closed Q1 2022, down 1.46% compared to Jan. 1. This is the smallest negative Bitcoin (BTC) quarterly price movement in its history.

In Q4, 2021, the orange coin added 5.45%, which is the second least significant positive quarter for Bitcoin (BTC): in Q3, 2018, the crypto king gained 3.61% in 90 days.

Typically, April is a green month for a first cryptocurrency. It closed April in the red only three times in 10 years with 1.6-3.4% losses.

April is bullish for Bitcoin (BTC)
Image by Coinglass

At the same time, for four years in a row, April was bringing 33-35% gains to the flagship cryptocurrency. Should this happen again, Bitcoin (BTC) might easily return to levels over $62,000.

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About the author

Blockchain Analyst & Writer with scientific background. 6+ years in IT-analytics, 3+ years in blockchain.

Worked in independent analysis as well as in start-ups (, Monoreto, Attic Lab etc.)