Compact mode
Kaufman's Adaptive Moving Average (KAMA) vs Ichimoku Cloud vs Guppy Multiple Moving Average
Table of content
General Information Comparison
Indicator Type 📊
The category or classification of the trading indicator based on its primary function and analysis method.For all*Asset Class 💰
Specifies the financial instruments for which the indicator is most commonly usedFor all*- StocksIndicators optimized for analyzing and predicting stock price movements in equity markets.
- ForexIndicators optimized for currency pair trading in the foreign exchange market.
Kaufman's Adaptive Moving Average (KAMA)Known for 💭
The unique selling point or distinguishing feature of the trading indicatorKaufman's Adaptive Moving Average (KAMA)- Self-Adjusting Moving AverageKaufman's Adaptive Moving Average (KAMA) is known for Self-Adjusting Moving Average.
Ichimoku Cloud- All-In-One IndicatorIchimoku Cloud is known for All-In-One Indicator.
Guppy Multiple Moving Average- Visualizing Short-Term And Long-Term TrendsGuppy Multiple Moving Average is known for Visualizing Short-Term And Long-Term Trends.
Made In 🌍
The country or origin of the trading indicatorKaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving Average
Characteristics Comparison
Lagging or Leading 🏁
Indicates whether the trading indicator is a lagging or leading type, reflecting its predictive nature.Kaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving AverageComplexity Level 🧑
Indicates the level of expertise required to effectively use the indicatorKaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving AveragePopularity 🏆
Indicates how widely used and recognized the indicator is in the trading communityFor all*
Facts Comparison
Interesting Fact 💡
An intriguing or lesser-known fact about the trading indicatorKaufman's Adaptive Moving Average (KAMA)- Developed by Perry Kaufman in 1988
Ichimoku Cloud- Created by Japanese journalist Goichi Hosoda
Guppy Multiple Moving Average- Developed by Australian trader Daryl Guppy
Sarcastic Fact 😉
A humorous or ironic observation about the trading indicatorKaufman'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
Guppy Multiple Moving Average- Sometimes looks like a colorful spaghetti mess on the chart
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)Ichimoku Cloud- DailyIchimoku Cloud is most effective for Daily timeframes. Indicators optimized for daily chart analysis, suitable for swing and position traders. Click to see all.
- WeeklyIchimoku Cloud is most effective for Weekly timeframes. Indicators optimized for weekly chart analysis, balancing short-term noise and long-term trends. Click to see all.
Guppy Multiple Moving Average- DailyGuppy Multiple Moving Average is most effective for Daily timeframes. Indicators optimized for daily chart analysis, suitable for swing and position traders. Click to see all.
- WeeklyGuppy Multiple Moving Average is most effective for Weekly timeframes. Indicators optimized for weekly chart analysis, balancing short-term noise and long-term trends. Click to see all.
Technical Details Comparison
Calculation Method 🧮
The mathematical or analytical approach used to compute the trading indicator's values.For all*Signal Generation 📊
Describes the methods by which the indicator produces trading signalsFor all*Kaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving AverageCustomization Options 🔧
Lists the parameters that can be adjusted to fine-tune the indicatorKaufman's Adaptive Moving Average (KAMA)- Efficiency RatioKaufman's Adaptive Moving Average (KAMA) offers customization options for Efficiency Ratio. Allows customization of indicator's performance measurement Click to see all.
- Fast EMAKaufman's Adaptive Moving Average (KAMA) offers customization options for Fast EMA. Enables adjustment of shorter-term Exponential Moving Average Click to see all.
- Slow EMAKaufman's Adaptive Moving Average (KAMA) offers customization options for Slow EMA. Adjustable slow EMA for long-term trend analysis Click to see all.
Ichimoku CloudGuppy Multiple Moving Average- PeriodGuppy Multiple Moving Average offers customization options for Period. Enables customization of analysis timeframe Click to see all.
- Number Of MAsGuppy Multiple Moving Average offers customization options for Number Of MAs. Enables customization of how many moving averages to use Click to see all.
Usage Comparison
For whom 👥
The target audience or user group for the trading indicatorKaufman's Adaptive Moving Average (KAMA)- Trend FollowersKaufman's Adaptive Moving Average (KAMA) is designed for Trend Followers. Identifies and confirms long-term market trends, suitable for trend-following strategies Click to see all.
- Algorithmic TradersKaufman's Adaptive Moving Average (KAMA) is designed for Algorithmic Traders. Tools optimized for automated trading systems and strategies Click to see all.
Ichimoku CloudGuppy Multiple Moving Average- Technical AnalystsGuppy Multiple Moving Average is designed for Technical Analysts. Provides comprehensive technical analysis tools, crucial for chart pattern recognition Click to see all.
- Trend FollowersGuppy Multiple Moving Average is designed for Trend Followers. Identifies and confirms long-term market trends, suitable for trend-following strategies Click to see all.
Purpose 📈
The primary purpose or application of the trading indicatorKaufman's Adaptive Moving Average (KAMA)- Adapting To Market VolatilityKaufman's Adaptive Moving Average (KAMA) is primarily used for Adapting To Market Volatility. Indicators for adjusting to changing volatility Click to see all.
- Trend FollowingKaufman's Adaptive Moving Average (KAMA) is primarily used for Trend Following.
Ichimoku Cloud- Multiple Aspects Of MarketIchimoku Cloud is primarily used for Multiple Aspects Of Market.
Guppy Multiple Moving Average- Trend StrengthGuppy Multiple Moving Average is primarily used for Trend Strength. Tools that assess the power and momentum behind a market trend Click to see all.
- Trend ReversalGuppy Multiple Moving Average is primarily used for Trend Reversal. Indicators that signal potential changes in the current market trend direction Click to see all.
Evaluation Comparison
Pros 👍
Advantages of using the trading indicatorKaufman's Adaptive Moving Average (KAMA)- Adapts To Market VolatilityIndicators that adjust to changing market conditions and volatility levels Click to see all.
- Reduces WhipsawsMinimizes false signals in volatile markets, improving trade accuracy Click to see all.
- Applicable To Multiple Markets
Ichimoku Cloud- Provides Multiple Signals
- Forward-LookingIndicators designed to anticipate future market movements Click to see all.
Guppy Multiple Moving AverageCons 👎
Disadvantages or limitations of the trading indicatorKaufman's Adaptive Moving Average (KAMA)- Complex CalculationIndicators with straightforward calculations and easy-to-understand outputs for efficient analysis Click to see all.
- Can Lag In Trending Markets
- Requires Understanding Of Efficiency RatioIndicates that some indicators need knowledge of efficiency ratios for effective use. Click to see all.
Ichimoku Cloud- Complex To Interpret
- Clutters Charts
Guppy Multiple Moving Average- Can Be Overwhelming With Multiple Lines
- Lag In Fast-Moving Markets
Performance Metrics Comparison
Reliability Score 💯
A score indicating the overall reliability of the trading indicatorKaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving AverageEase of Use Score 💻
A score representing how user-friendly and intuitive the trading indicator isKaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving AverageVersatility Score 🔀
A score indicating the adaptability of the trading indicator across different markets and timeframesKaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving AverageCustomization Score 🔧
A score representing the degree of customization available for the trading indicatorKaufman's Adaptive Moving Average (KAMA)- 8The customization score for Kaufman's Adaptive Moving Average (KAMA) is 8 out of 10.
Ichimoku Cloud- 7.5The customization score for Ichimoku Cloud is 7.5 out of 10.
Guppy Multiple Moving Average- 7.5The customization score for Guppy Multiple Moving Average is 7.5 out of 10.
Score ⭐
The overall score of the trading indicator based on various performance metricsKaufman's Adaptive Moving Average (KAMA)Ichimoku CloudGuppy Multiple Moving Average
Alternatives to Kaufman's Adaptive Moving Average (KAMA)
Elder Triple Screen
Known for Trend-Momentum Alignment🔀 is more versatile than Kaufman's Adaptive Moving Average (KAMA)
🔧 is more customizable than Kaufman's Adaptive Moving Average (KAMA)
Rainbow Moving Average
Known for Visual Representation Of Multiple Timeframes💻 is easier to use than Kaufman's Adaptive Moving Average (KAMA)
🔧 is more customizable than Kaufman's Adaptive Moving Average (KAMA)
Hull Moving Average (HMA)
Known for Reducing Lag In Moving Averages💻 is easier to use than Kaufman's Adaptive Moving Average (KAMA)
Exponential Moving Average (EMA)
Known for Smooth Price Movements💻 is easier to use than Kaufman's Adaptive Moving Average (KAMA)
Average True Range (ATR)
Known for Volatility Without Direction💻 is easier to use than Kaufman's Adaptive Moving Average (KAMA)