TA.MACD

The TA.MACD() function is used to calculate the exponential smoothed dissimilarity and similarity MACD indicator.

The return value of the TA.MACD() function is a two-dimensional array with the structure: [DIF, DEA, MACD]. array

TA.MACD(inReal) TA.MACD(inReal, optInFastPeriod, optInSlowPeriod, optInSignalPeriod)

The inReal parameter is used to specify the K-line data. inReal true {@struct/Record Record} structure arrays, numeric arrays The optInFastPeriod parameter is used to set the fast period. optInFastPeriod false number The optInSlowPeriod parameter is used to set the slow period. optInSlowPeriod false number The optInSignalPeriod parameter is used to set the signal period. optInSignalPeriod false number

function main(){
    // You can fill in different k-line periods, such as PERIOD_M1,PERIOD_M30,PERIOD_H1...
    var records = exchange.GetRecords(PERIOD_M15)
    var macd = TA.MACD(records, 12, 26, 9)
    // Watching the logs, you can see that three arrays are returned, corresponding to DIF, DEA and MACD.
    Log("DIF:", macd[0], "DEA:", macd[1], "MACD:", macd[2])
}

def main():
    r = exchange.GetRecords(PERIOD_M15)
    macd = TA.MACD(r, 12, 26, 9)
    Log("DIF:", macd[0], "DEA:", macd[1], "MACD:", macd[2])

void main() {
    auto r = exchange.GetRecords(PERIOD_M15);
    auto macd = TA.MACD(r, 12, 26, 9);
    Log("DIF:", macd[0], "DEA:", macd[1], "MACD:", macd[2]);
}

The TA indicator library of FMZ Quant, optimized for common indicator algorithms. It supports JavaScript, Python, C++ language strategy calls, open source TA library code. The default values of the optInFastPeriod, optInSlowPeriod, and optInSignalPeriod parameters of the TA.MACD() function are: 12, 26, and 9.

{@fun/TA/TA.KDJ TA.KDJ}, {@fun/TA/TA.RSI TA.RSI}, {@fun/TA/TA.ATR TA.ATR}, {@fun/TA/TA.OBV TA.OBV}, {@fun/TA/TA.MA TA.MA}, {@fun/TA/TA.EMA TA.EMA}, {@fun/TA/TA.BOLL TA.BOLL}, {@fun/TA/TA.Alligator TA.Alligator}, {@fun/TA/TA.CMF TA.CMF}, {@fun/TA/TA.Highest TA.Highest}, {@fun/TA/TA.Lowest TA.Lowest}

Web3 TA.KDJ