OPEN-SOURCE SCRIPT
Updated Kaufman Moving Average Adaptive Strategy by MKB
KAMA Momentum Strategy is a trend-following momentum strategy based on the Kaufman Adaptive Moving Average.
The strategy is designed to capture strong upside momentum by entering only when price breaks above the KAMA plus a volatility-based standard deviation filter. This helps reduce weak signals and filters out some of the noise that often appears in sideways markets.
The exit condition remains simple and disciplined: the position is closed when price crosses back below the KAMA. This allows the strategy to follow momentum while still using the adaptive moving average as the main trend reference.
In my tests, the strategy works best on the daily timeframe. It is especially effective in cryptocurrency markets, where strong momentum phases and volatility expansions are common.
Key features:
Kaufman Adaptive Moving Average trend filter
Standard deviation-based entry confirmation
Momentum-focused long-only structure
Designed primarily for daily charts
Works well on crypto assets
Single-position logic with no pyramiding
Suggested starting settings:
KAMA Length: 21
Standard Deviation Length: 20
Standard Deviation Multiplier: 0.5
This strategy is intended for backtesting, research, and educational purposes. It should not be considered financial advice. Always test different assets and market conditions before using any strategy in live trading.
The strategy is designed to capture strong upside momentum by entering only when price breaks above the KAMA plus a volatility-based standard deviation filter. This helps reduce weak signals and filters out some of the noise that often appears in sideways markets.
The exit condition remains simple and disciplined: the position is closed when price crosses back below the KAMA. This allows the strategy to follow momentum while still using the adaptive moving average as the main trend reference.
In my tests, the strategy works best on the daily timeframe. It is especially effective in cryptocurrency markets, where strong momentum phases and volatility expansions are common.
Key features:
Kaufman Adaptive Moving Average trend filter
Standard deviation-based entry confirmation
Momentum-focused long-only structure
Designed primarily for daily charts
Works well on crypto assets
Single-position logic with no pyramiding
Suggested starting settings:
KAMA Length: 21
Standard Deviation Length: 20
Standard Deviation Multiplier: 0.5
This strategy is intended for backtesting, research, and educational purposes. It should not be considered financial advice. Always test different assets and market conditions before using any strategy in live trading.
Release Notes
KAMA Momentum Strategy is a trend-following momentum strategy based on the Kaufman Adaptive Moving Average.The strategy is designed to capture strong upside momentum by entering only when price breaks above the KAMA plus a volatility-based standard deviation filter. This helps reduce weak signals and filters out some of the noise that often appears in sideways markets.
The exit condition remains simple and disciplined: the position is closed when price crosses back below the KAMA. This allows the strategy to follow momentum while still using the adaptive moving average as the main trend reference.
In my tests, the strategy works best on the daily timeframe. It is especially effective in cryptocurrency markets, where strong momentum phases and volatility expansions are common.
Key features:
* Kaufman Adaptive Moving Average trend filter
* Standard deviation-based entry confirmation
* Momentum-focused long-only structure
* Designed primarily for daily charts
* Works well on crypto assets
* Single-position logic with no pyramiding
Suggested starting settings:
* KAMA Length: 21
* Standard Deviation Length: 20
* Standard Deviation Multiplier: 0.5
This strategy is intended for backtesting, research, and educational purposes. It should not be considered financial advice. Always test different assets and market conditions before using any strategy in live trading.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.