Function MACD

plot/chart_plot.py:26–38

(close, short=12, long=26, signal=9)

# 计算MACD
def MACD(close, short=12, long=26, signal=9):
    ema12 = pd.DataFrame.ewm(close, span=short).mean()
    ema26 = pd.DataFrame.ewm(close, span=long).mean()
    # dif组成的线叫MACD线
    dif = ema12 - ema26
    # dea组成的线叫signal线
    dea = pd.DataFrame.ewm(dif, span=signal).mean()
    # dif与dea的差得到柱状
    hist = 2 * (dif - dea)
    dif = np.round(dif, 3)
    dea = np.round(dea, 3)
    hist = np.round(hist, 3)
    return dif, dea, hist

#计算修正K线数据
def Heikin_Ashi(df):