Combined Moving Average Crossover Strategy
Overview
This strategy combines the T3, T3 Fibonacci and MavilimW moving averages to generate trading signals from price-MA relationships. It belongs to trend following strategies.
Strategy Logic
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Calculate the T3, T3 Fibonacci and MavilimW moving averages separately.
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Price breakout and pullback from MAs produce buy and sell signals.
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Combining multiple MAs can filter signals for higher quality.
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Stop loss in place to control loss per trade.
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Flexibility to use individual or combined MA systems.
Advantages
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MA combo improves signal accuracy through mutual confirmation.
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Each MA responds differently to trend changes for combined edge.
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Intuitive signals formed by MA relationships.
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Stop loss aids in risk control.
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Clear code for easy comprehension and customization.
Risks
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MA combos can still generate false signals causing losses.
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Hard to determine key reversal points in trends.
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Inappropriate MA parameters negatively affect performance.
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Frequent position changes increase transaction costs.
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Over-optimization risks during optimization.
Enhancement
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Test different MA parameters to find optimal combinations.
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Evaluate additional trend indicators for signal filtering.
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Optimize stop loss parameters to lower loss risk per trade.
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Study price cycle patterns to identify trend reversal points.
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Add trend metric to avoid unnecessary reverse trades.
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Employ dynamic position sizing for better capital efficiency.
Conclusion
This strategy combines multiple MA systems for mutual signal verification. But MA combos still have false signal risks. Continual parameter optimization and risk controls can turn it into a robust trend following system.
/*backtest
start: 2022-09-13 00:00:00
end: 2023-09-19 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
//creator&compiler: Bartu Altan
//inspired by: KIVANÇ ÖZBİLGİÇ @fr3792 and @mavilim0732 on twitter
//With courtesy of Kıvanç Özbilgiç, Permission Pending- 1
