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Bitcoin Price Analysis: Short Squeeze or Correction?

1 min
Updated by Adam James
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In Brief

  • With Everyone Thinking Short Squeeze, Should We Expect a Pullback?
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After an eventless weekend of predictable low-volume trading, Bitcoin remains near the $6,700 line.
With short orders remaining at very high levels, some may be tempted to enter a position in anticipation of an impending short squeeze — but is that a smart move? crowd

Take a Look at the Stochastic RSI

If a short squeeze is going to happen, one technical indicator suggests it might not happen before Bitcoin experiences at least a minor correction. The indicator in question is the Stochastic RSI, which combines the Stochastic Oscillator formula to a set of Relative Strength Index (RSI) values. In essence, it is a valuable (though imperfect) tool for measuring momentum. Bitcoin At the moment, the Stochastic RSI on Bitcoin’s daily chart is showing a bearish signal, as the blue line looks set to cross the orange line — potentially indicating that a pullback is impending as any bullish momentum is waning. However, like all indicators, the Stochastic RSI is little more than a tool. It is not a predictor, and should not be treated as one. Do you think Bitcoin will see a short squeeze this week, or is a correction likely? Let us know your thoughts in the comments below!  [Disclaimer: This article is not intended as financial advice. Neither BeInCrypto nor the author should be held responsible for any financial gains or losses. Readers are always encouraged to do their own research, never invest more than they can afford to lose, and to consult with a licensed financial professional before making any major investment decisions. Trading in cryptocurrencies carries risk.] [Full Disclosure: The author of this article holds Bitcoin (BTC).]
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Dani Polo is the Head of SEO at BeInCrypto.com. For over seven years, Daniel provided SEO for companies ranging from small businesses all the way up to Fortune 500 corporations. He is heavily focused on Fintech and Finance sector. Daniel earned his Bachelor of Science in Computer Science from Universitat Politècnica de Catalunya. He also has certifications from YCombinator Startup School, SEMRush and Hubspot. He’s currently focused on machine learning and artificial intelligence.
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