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How can I identify a failed inverse head and shoulders pattern in cryptocurrency trading?

avatarDall SeerupNov 24, 2021 · 3 years ago3 answers

Could you please provide some tips on how to identify a failed inverse head and shoulders pattern in cryptocurrency trading? I want to improve my trading strategy and avoid potential losses.

How can I identify a failed inverse head and shoulders pattern in cryptocurrency trading?

3 answers

  • avatarNov 24, 2021 · 3 years ago
    One way to identify a failed inverse head and shoulders pattern in cryptocurrency trading is to look for a break below the neckline. If the price drops below the neckline after the formation of the right shoulder, it indicates that the pattern has failed. This could be a signal to sell or avoid entering a long position. It's important to note that the neckline acts as a support level, and a break below it suggests a potential reversal in the price trend.
  • avatarNov 24, 2021 · 3 years ago
    Another way to identify a failed inverse head and shoulders pattern is to analyze the volume during the formation of the pattern. Ideally, the volume should be highest during the formation of the head and decrease as the pattern progresses. If the volume remains high or increases during the formation of the right shoulder, it suggests a lack of buying interest and increases the likelihood of a failed pattern. Paying attention to volume can provide valuable insights into the strength of the pattern.
  • avatarNov 24, 2021 · 3 years ago
    In my experience at BYDFi, a failed inverse head and shoulders pattern can also be identified by observing the price action after the pattern formation. If the price fails to break above the previous high after the formation of the right shoulder, it indicates a lack of bullish momentum and increases the chances of a failed pattern. Additionally, if the price quickly reverses and breaks below the neckline, it further confirms the failure of the pattern. It's important to wait for confirmation before making any trading decisions based on the pattern.