Compact mode
Kaufman's Adaptive Moving Average (KAMA)
Known for Self-Adjusting Moving Average
Table of content
General Information
Indicator Type 📊
The category or classification of the trading indicator based on its primary function and analysis method.- TrendKaufman's Adaptive Moving Average (KAMA) is a Trend type indicator. Indicators that help identify and confirm market trends
Asset Class 💰
Specifies the financial instruments for which the indicator is most commonly used- StocksThe asset classes Kaufman's Adaptive Moving Average (KAMA) is typically used for are Stocks. Indicators optimized for analyzing and predicting stock price movements in equity markets. Click to see all.
- ForexThe asset classes Kaufman's Adaptive Moving Average (KAMA) is typically used for are Forex. Indicators optimized for currency pair trading in the foreign exchange market. Click to see all.
- CommoditiesThe asset classes Kaufman's Adaptive Moving Average (KAMA) is typically used for are Commodities. Trading indicators optimized for commodity markets like oil, gold, and agricultural products. Click to see all.
Made In 🌍
The country or origin of the trading indicator- USAKaufman's Adaptive Moving Average (KAMA) was developed in USA. Trading indicators developed by American market analysts
Characteristics
Lagging or Leading 🏁
Indicates whether the trading indicator is a lagging or leading type, reflecting its predictive nature.- LaggingKaufman's Adaptive Moving Average (KAMA) is a Lagging indicator. Indicators that confirm trends after they have started
Complexity Level 🧑
Indicates the level of expertise required to effectively use the indicatorPopularity 🏆
Indicates how widely used and recognized the indicator is in the trading community- MediumThe popularity of Kaufman's Adaptive Moving Average (KAMA) among traders is considered Medium. Indicators with balanced adoption and potential effectiveness
Facts
Interesting Fact 💡
An intriguing or lesser-known fact about the trading indicator- Developed by Perry Kaufman in 1988
Sarcastic Fact 😉
A humorous or ironic observation about the trading indicator- It's like a chameleon of moving averages - blends in well but can still get caught!
Application
Timeframe 🕑
The time intervals or periods for which the trading indicator is most effective or commonly used.- 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.
Technical Details
Calculation Method 🧮
The mathematical or analytical approach used to compute the trading indicator's values.Signal Generation 📊
Describes the methods by which the indicator produces trading signals- CrossoversKaufman's Adaptive Moving Average (KAMA) generates trading signals through Crossovers. Indicators that generate signals when one line crosses another, indicating trend changes
- 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
Customization Options 🔧
Lists the parameters that can be adjusted to fine-tune the indicator- 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.
Usage
For whom 👥
The target audience or user group for the trading indicator- 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.
Purpose 📈
The primary purpose or application of the trading indicator- 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.
Evaluation
Pros 👍
Advantages of using the trading indicator- 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
Cons 👎
Disadvantages or limitations of the trading indicator- 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.
Performance Metrics
Reliability Score 💯
A score indicating the overall reliability of the trading indicatorEase of Use Score 💻
A score representing how user-friendly and intuitive the trading indicator isVersatility Score 🔀
A score indicating the adaptability of the trading indicator across different markets and timeframesCustomization Score 🔧
A score representing the degree of customization available for the trading indicator- 8The customization score for Kaufman's Adaptive Moving Average (KAMA) is 8 out of 10.
Score ⭐
The overall score of the trading indicator based on various performance metrics
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