Compact mode
Moving Average Convergence Divergence (MACD) vs Keltner Channels vs Chaikin Volatility
Table of content
General Information Comparison
Indicator Type 📊
The category or classification of the trading indicator based on its primary function and analysis method.Moving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilityAsset Class 💰
Specifies the financial instruments for which the indicator is most commonly usedFor all*Moving Average Convergence Divergence (MACD)- ForexThe asset classes Moving Average Convergence Divergence (MACD) is typically used for are Forex. Indicators optimized for currency pair trading in the foreign exchange market. Click to see all.
- CryptocurrenciesThe asset classes Moving Average Convergence Divergence (MACD) is typically used for are Cryptocurrencies. Indicators tailored for the volatile and 24/7 nature of cryptocurrency trading. Click to see all.
Keltner ChannelsChaikin Volatility- OptionsThe asset classes Chaikin Volatility is typically used for are Options. Indicators tailored for options trading, considering factors like volatility and time decay. Click to see all.
- FuturesThe asset classes Chaikin Volatility is typically used for are Futures. Indicators designed for trading futures contracts across various asset classes. Click to see all.
Known for 💭
The unique selling point or distinguishing feature of the trading indicatorMoving Average Convergence Divergence (MACD)- Trend Strength And DirectionMoving Average Convergence Divergence (MACD) is known for Trend Strength And Direction.
Keltner Channels- Combining Moving Averages With VolatilityKeltner Channels is known for Combining Moving Averages With Volatility.
Chaikin Volatility- Trend Strength ConfirmationChaikin Volatility is known for Trend Strength Confirmation.
Made In 🌍
The country or origin of the trading indicatorMoving Average Convergence Divergence (MACD)- 1960SMoving Average Convergence Divergence (MACD) was developed in 1960S. Trading indicators developed during a decade of economic growth and social change
Keltner Channels- United StatesKeltner Channels was developed in United States. Indicators developed in the USA, reflecting American trading principles
Chaikin Volatility- United StatesChaikin Volatility was developed in United States. Indicators developed in the USA, reflecting American trading principles
Characteristics Comparison
Lagging or Leading 🏁
Indicates whether the trading indicator is a lagging or leading type, reflecting its predictive nature.For all*- LaggingIndicators that confirm trends after they have started
Complexity Level 🧑
Indicates the level of expertise required to effectively use the indicatorMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilityPopularity 🏆
Indicates how widely used and recognized the indicator is in the trading communityMoving Average Convergence Divergence (MACD)- HighThe popularity of Moving Average Convergence Divergence (MACD) among traders is considered High. Widely used and trusted indicators in the trading community
Keltner Channels- MediumThe popularity of Keltner Channels among traders is considered Medium. Indicators with balanced adoption and potential effectiveness
Chaikin Volatility- MediumThe popularity of Chaikin Volatility among traders is considered Medium. Indicators with balanced adoption and potential effectiveness
Facts Comparison
Interesting Fact 💡
An intriguing or lesser-known fact about the trading indicatorMoving Average Convergence Divergence (MACD)- Developed by Gerald Appel
Keltner Channels- Named after Chester Keltner
Chaikin Volatility- Developed by Marc Chaikin to complement his other indicators
Sarcastic Fact 😉
A humorous or ironic observation about the trading indicatorMoving Average Convergence Divergence (MACD)- Even your grandma knows this one but still can't use it properly
Keltner Channels- It's like a bodyguard for price trends keeping them in check
Chaikin Volatility- Sometimes called the "options trader's crystal ball"
Application Comparison
Timeframe 🕑
The time intervals or periods for which the trading indicator is most effective or commonly used.For all*- DailyIndicators optimized for daily chart analysis, suitable for swing and position traders.
- WeeklyIndicators 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.Moving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilitySignal Generation 📊
Describes the methods by which the indicator produces trading signalsMoving Average Convergence Divergence (MACD)- CrossoversMoving Average Convergence Divergence (MACD) generates trading signals through Crossovers. Indicators that generate signals when one line crosses another, indicating trend changes
- DivergencesMoving Average Convergence Divergence (MACD) generates trading signals through Divergences. Indicators that show discrepancies between price and indicator movements, suggesting potential reversals
Keltner Channels- BreakoutsKeltner Channels generates trading signals through Breakouts. Indicators that identify when price breaks key levels, signaling potential trends
Chaikin Volatility- BreakoutsChaikin Volatility generates trading signals through Breakouts. Indicators that identify when price breaks key levels, signaling potential trends
Customization Options 🔧
Lists the parameters that can be adjusted to fine-tune the indicatorFor all*Moving Average Convergence Divergence (MACD)Keltner ChannelsChaikin Volatility
Usage Comparison
For whom 👥
The target audience or user group for the trading indicatorMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilityPurpose 📈
The primary purpose or application of the trading indicatorMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin Volatility
Evaluation Comparison
Pros 👍
Advantages of using the trading indicatorMoving Average Convergence Divergence (MACD)- Effective For Trend Identification
- Useful In Ranging Markets
Keltner Channels- Less Sensitive To Spikes Than Bollinger BandsProvides more stable signals in volatile markets compared to Bollinger Bands
- Good For Identifying Trends
Chaikin Volatility- Helps Identify Potential Breakouts
- Useful For Options PricingIndicators that aid in determining fair value and volatility for options trading
Cons 👎
Disadvantages or limitations of the trading indicatorMoving Average Convergence Divergence (MACD)- Can Produce False Signals In Choppy MarketsIndicators that minimize false signals in erratic or indecisive market conditions Click to see all.
- Lagging IndicatorIndicators that follow price action, potentially delaying trading signals in fast-moving markets. Click to see all.
Keltner Channels- Can Produce False Signals In Choppy MarketsIndicators that minimize false signals in erratic or indecisive market conditions Click to see all.
- Requires Proper Parameter Setting
Chaikin Volatility- Can Be Late In Signaling Volatility Changes
- May Produce False Signals In Ranging Markets
Performance Metrics Comparison
Reliability Score 💯
A score indicating the overall reliability of the trading indicatorMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilityEase of Use Score 💻
A score representing how user-friendly and intuitive the trading indicator isMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilityVersatility Score 🔀
A score indicating the adaptability of the trading indicator across different markets and timeframesMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin VolatilityCustomization Score 🔧
A score representing the degree of customization available for the trading indicatorMoving Average Convergence Divergence (MACD)- 7The customization score for Moving Average Convergence Divergence (MACD) is 7 out of 10.
Keltner Channels- 8The customization score for Keltner Channels is 8 out of 10.
Chaikin Volatility- 7.5The customization score for Chaikin Volatility is 7.5 out of 10.
Score ⭐
The overall score of the trading indicator based on various performance metricsMoving Average Convergence Divergence (MACD)Keltner ChannelsChaikin Volatility
Alternatives to Moving Average Convergence Divergence (MACD)
Slow Stochastic
Known for Momentum Measurement
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is more reliable than Moving Average Convergence Divergence (MACD)
Directional Movement Index (DMI)
Known for Strength Of Price Movement
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is more reliable than Moving Average Convergence Divergence (MACD)
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is more customizable than Moving Average Convergence Divergence (MACD)
Exponential Moving Average (EMA)
Known for Smooth Price Movements
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is more reliable than Moving Average Convergence Divergence (MACD)
💻
is easier to use than Moving Average Convergence Divergence (MACD)
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is rated higher overall than Moving Average Convergence Divergence (MACD)
Hull Moving Average (HMA)
Known for Reducing Lag In Moving Averages
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is more reliable than Moving Average Convergence Divergence (MACD)
Simple Moving Average (SMA)
Known for Smooth Price Movements
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is more reliable than Moving Average Convergence Divergence (MACD)
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is easier to use than Moving Average Convergence Divergence (MACD)