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What are the recommended stochastics settings for identifying overbought and oversold conditions in digital currencies?

avatarShamikkshaNov 24, 2021 · 3 years ago3 answers

I'm looking for the best stochastics settings to use when trying to identify overbought and oversold conditions in digital currencies. Can you recommend any specific settings that are commonly used by traders?

What are the recommended stochastics settings for identifying overbought and oversold conditions in digital currencies?

3 answers

  • avatarNov 24, 2021 · 3 years ago
    When it comes to identifying overbought and oversold conditions in digital currencies, the recommended stochastics settings can vary depending on the trading strategy and time frame. However, a commonly used setting is the 14-day Stochastic Oscillator with a 3-day smoothing period. This setting is often considered a good starting point for traders as it provides a balance between sensitivity and reliability. Keep in mind that stochastics should not be used in isolation and should be combined with other technical indicators for more accurate analysis.
  • avatarNov 24, 2021 · 3 years ago
    Finding the right stochastics settings for identifying overbought and oversold conditions in digital currencies can be a bit of a trial and error process. Some traders prefer to use shorter time frames, such as a 7-day Stochastic Oscillator, for more frequent signals. Others may opt for longer time frames, such as a 21-day Stochastic Oscillator, for smoother and more reliable signals. It's important to experiment with different settings and find the one that works best for your trading style and goals.
  • avatarNov 24, 2021 · 3 years ago
    As an expert at BYDFi, I can tell you that the recommended stochastics settings for identifying overbought and oversold conditions in digital currencies can vary depending on the market conditions and the specific digital currency you are trading. It's important to consider factors such as volatility, liquidity, and trading volume when determining the optimal stochastics settings. Additionally, it's always a good idea to backtest different settings and analyze historical data to see how well they perform before using them in live trading. Remember, finding the right settings is a continuous process that requires constant monitoring and adjustment.