OPEN-SOURCE SCRIPT
RM MA Crossover Strategy
Overview of the Moving Average Crossover Strategy with Price Filter:
Moving Averages:
Fast MA (10-period) and Slow MA (20-period) help track short-term and medium-term price trends.
Buy Signal:
Occurs when the price closes above both MAs, indicating a strong uptrend.
Alternatively, if the Fast MA crosses above the Slow MA, a buy signal is also triggered.
The strategy avoids back-to-back buy signals (only triggered after a previous sell).
Sell Signal:
Occurs when the price closes below both MAs, indicating a potential reversal or downtrend.
Alternatively, if the Fast MA crosses below the Slow MA, a sell signal is also triggered.
The strategy avoids back-to-back sell signals (only triggered after a previous buy).
Signal Alternation:
The script ensures that a buy is only followed by a sell and vice versa to prevent excessive signals.
Goal:
The strategy seeks to capture sustained trend movements by relying on both MA crossovers and price positioning relative to the moving averages.
This strategy is designed for trend-following, reducing noise from false signals while ensuring clear entries and exits.
Moving Averages:
Fast MA (10-period) and Slow MA (20-period) help track short-term and medium-term price trends.
Buy Signal:
Occurs when the price closes above both MAs, indicating a strong uptrend.
Alternatively, if the Fast MA crosses above the Slow MA, a buy signal is also triggered.
The strategy avoids back-to-back buy signals (only triggered after a previous sell).
Sell Signal:
Occurs when the price closes below both MAs, indicating a potential reversal or downtrend.
Alternatively, if the Fast MA crosses below the Slow MA, a sell signal is also triggered.
The strategy avoids back-to-back sell signals (only triggered after a previous buy).
Signal Alternation:
The script ensures that a buy is only followed by a sell and vice versa to prevent excessive signals.
Goal:
The strategy seeks to capture sustained trend movements by relying on both MA crossovers and price positioning relative to the moving averages.
This strategy is designed for trend-following, reducing noise from false signals while ensuring clear entries and exits.
Open-source script
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