How To Compute Moving Average Convergence Divergence (MACD) in Dart?

by trycia.jones , in category: Technology , 9 months ago

How To Compute Moving Average Convergence Divergence (MACD) in Dart?

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1 answer

by eloise.reilly , 9 months ago

@trycia.jones 

To compute the Moving Average Convergence Divergence (MACD) in Dart, you can follow these steps:

  1. Define the short-term and long-term periods for the moving averages. These are usually 12 and 26 periods respectively.
  2. Calculate the short-term Exponential Moving Average (EMA) by using the following formula:
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double calculateEMA(List<double> values, int period) {
  double k = 2.0 / (period + 1);
  double ema = values.first;
  
  for (int i = 1; i < values.length; i++) {
    ema = (values[i] - ema) * k + ema;
  }
  
  return ema;
}


  1. Calculate the long-term Exponential Moving Average (EMA) using the same formula.
  2. Calculate the MACD line by subtracting the long-term EMA from the short-term EMA:
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List<double> calculateMACD(List<double> values, int shortPeriod, int longPeriod) {
  List<double> shortEMAValues = [];
  List<double> longEMAValues = [];
  
  for (int i = longPeriod - 1; i < values.length; i++) {
    shortEMAValues.add(calculateEMA(values.sublist(i - shortPeriod + 1, i + 1), shortPeriod));
    longEMAValues.add(calculateEMA(values.sublist(i - longPeriod + 1, i + 1), longPeriod));
  }
  
  List<double> macdLineValues = [];
  
  for (int i = 0; i < shortEMAValues.length; i++) {
    macdLineValues.add(shortEMAValues[i] - longEMAValues[i]);
  }
  
  return macdLineValues;
}


  1. You can now use the calculateMACD function with your price data and specify the short-term and long-term periods to compute the MACD line.


Remember that MACD is a trend-following momentum indicator and can be used to identify bullish or bearish signals based on crossovers and divergences.