Compact mode
Kaufman's Adaptive Moving Average (KAMA) vs Hull Moving Average (HMA) 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*- TrendIndicators that help identify and confirm market trends
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)Hull Moving Average (HMA)- CommoditiesThe asset classes Hull Moving Average (HMA) is typically used for are Commodities. Trading indicators optimized for commodity markets like oil, gold, and agricultural products. Click to see all.
- CryptocurrenciesThe asset classes Hull Moving Average (HMA) is typically used for are Cryptocurrencies. Indicators tailored for the volatile and 24/7 nature of cryptocurrency trading. Click to see all.
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.
Hull Moving Average (HMA)- Reducing Lag In Moving AveragesHull Moving Average (HMA) is known for Reducing Lag In Moving Averages.
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)- USAKaufman's Adaptive Moving Average (KAMA) was developed in USA. Trading indicators developed by American market analysts
Hull Moving Average (HMA)- AustraliaHull Moving Average (HMA) was developed in Australia. Trading indicators developed by Australian market analysts
Guppy Multiple Moving Average- 1990SGuppy Multiple Moving Average was developed in 1990S. Trading indicators created during the dot-com boom era
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)- LaggingKaufman's Adaptive Moving Average (KAMA) is a Lagging indicator. Indicators that confirm trends after they have started
Hull Moving Average (HMA)Guppy Multiple Moving Average- LaggingGuppy Multiple Moving Average is a Lagging indicator. Indicators that confirm trends after they have started
Complexity Level 🧑
Indicates the level of expertise required to effectively use the indicatorKaufman's Adaptive Moving Average (KAMA)Hull Moving Average (HMA)Guppy Multiple Moving AveragePopularity 🏆
Indicates how widely used and recognized the indicator is in the trading communityFor all*- MediumIndicators with balanced adoption and potential effectiveness
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
Hull Moving Average (HMA)- Developed by Alan Hull to address the lag in traditional moving averages
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!
Hull Moving Average (HMA)- Humorously called the 'moving average on steroids' by some traders
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)- All TimeframesKaufman'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.
Hull Moving Average (HMA)- AnyHull Moving Average (HMA) is most effective for Any timeframes. Flexible indicators adaptable to various trading timeframes, offering versatility in analysis.
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.
- WeeklyGuppy Multiple Moving Average is most effective for Weekly timeframes. Indicators optimized for weekly chart analysis, balancing short-term noise and long-term trends.
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*- CrossoversIndicators that generate signals when one line crosses another, indicating trend changes
Kaufman's Adaptive Moving Average (KAMA)- Slope ChangesKaufman's Adaptive Moving Average (KAMA) generates trading signals through Slope Changes. Indicators that identify changes in the angle or direction of price movements
Hull Moving Average (HMA)- BreakoutsHull Moving Average (HMA) generates trading signals through Breakouts. Indicators that identify when price breaks key levels, signaling potential trends
Guppy Multiple Moving Average- DivergencesGuppy Multiple Moving Average generates trading signals through Divergences. Indicators that show discrepancies between price and indicator movements, suggesting potential reversals
Customization 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.
Hull Moving Average (HMA)Guppy 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.
Hull Moving Average (HMA)Guppy 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.
Hull Moving Average (HMA)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
- Reduces WhipsawsMinimizes false signals in volatile markets, improving trade accuracy
- Applicable To Multiple Markets
Hull Moving Average (HMA)- Responds Quickly To Price Changes
- Reduces Lag SignificantlyProvides more timely signals, improving trade timing and potentially increasing profits
Guppy Multiple Moving Average- Clear Visual Representation Of TrendsIndicators offering easy-to-interpret visual cues for market trends
- Helps Identify Trend Strength
Cons 👎
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.
Hull Moving Average (HMA)- Can Be Overly Sensitive In Volatile Markets
- Less Commonly Available In Trading PlatformsIndicators not widely available in trading platforms, potentially limiting their use for some traders. Click to see all.
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)Hull Moving Average (HMA)Guppy Multiple Moving AverageEase of Use Score 💻
A score representing how user-friendly and intuitive the trading indicator isKaufman's Adaptive Moving Average (KAMA)Hull Moving Average (HMA)Guppy Multiple Moving AverageVersatility Score 🔀
A score indicating the adaptability of the trading indicator across different markets and timeframesKaufman's Adaptive Moving Average (KAMA)Hull Moving Average (HMA)Guppy 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.
Hull Moving Average (HMA)- 7The customization score for Hull Moving Average (HMA) is 7 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)Hull Moving Average (HMA)Guppy 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)
Exponential Moving Average (EMA)
Known for Smooth Price Movements
💻
is easier to use than Kaufman's Adaptive Moving Average (KAMA)
Ichimoku Cloud
Known for All-In-One Indicator
🔀
is more versatile 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)