Kaufman's Adaptive Moving Average (KAMA) vs Ichimoku Cloud vs Average True Range (ATR)
Compact mode

Kaufman's Adaptive Moving Average (KAMA) vs Ichimoku Cloud vs Average True Range (ATR)

General Information Comparison

Characteristics Comparison

Facts Comparison

  • Interesting Fact 💡

    An intriguing or lesser-known fact about the trading indicator
    Kaufman's Adaptive Moving Average (KAMA)
    • Developed by Perry Kaufman in 1988
    Ichimoku Cloud
    • Created by Japanese journalist Goichi Hosoda
    Average True Range (ATR)
    • Part of Welles Wilder's indicators
  • Sarcastic Fact 😉

    A humorous or ironic observation about the trading indicator
    Kaufman's Adaptive Moving Average (KAMA)
    • It's like a chameleon of moving averages - blends in well but can still get caught!
    Ichimoku Cloud
    • It's like a weather forecast for your trades - often wrong but never in doubt
    Average True Range (ATR)
    • It's the drama meter of the market - higher values mean more excitement

Application Comparison

  • Timeframe 🕑

    The time intervals or periods for which the trading indicator is most effective or commonly used.
    Kaufman's Adaptive Moving Average (KAMA)
    • All Timeframes
      Kaufman's Adaptive Moving Average (KAMA) is most effective for All Timeframes timeframes. Versatile indicators suitable for any trading timeframe, from short-term to long-term analysis.
    Ichimoku Cloud
    • Daily
      Ichimoku Cloud is most effective for Daily timeframes. Indicators optimized for daily chart analysis, suitable for swing and position traders.
    • Weekly
      Ichimoku Cloud is most effective for Weekly timeframes. Indicators optimized for weekly chart analysis, balancing short-term noise and long-term trends.
    Average True Range (ATR)
    • Daily
      Average True Range (ATR) is most effective for Daily timeframes. Indicators optimized for daily chart analysis, suitable for swing and position traders.
    • Weekly
      Average True Range (ATR) is most effective for Weekly timeframes. Indicators optimized for weekly chart analysis, balancing short-term noise and long-term trends.

Technical Details Comparison

Usage Comparison

Evaluation Comparison

Performance Metrics Comparison