使用熊猫从头开始的技术指标

时间:2018-02-10 16:05:45

标签: python pandas technical-indicator

我正在尝试从头开始实施Chaikin Oscillator,但与真正的一个API(例如TradingView)相比,它给我的结果错误

代码:

def exponential_moving_average_series(ts, n):
    """
    :param df: pandas.DataFrame
    :param n:
    :return: pandas.DataFrame
    """
    EMA = pd.Series(pd.ewma(ts, span = n, min_periods = n - 1), name = 'EMA_' + str(n))
    return EMA


def chaikin_oscillator(df):
    """Calculate Chaikin Oscillator for given data.
    :param df: pandas.DataFrame
    :return: pandas.DataFrame
    """
    ad = (2 * df['Close'] - df['High'] - df['Low']) * df['Volume'] / (df['High'] - df['Low'])
    ad = ad + ad.shift(1)

    ema3 = exponential_moving_average_series(ad,3);
    ema10 = exponential_moving_average_series(ad,10);

    Chaikin = pd.Series((ema3-ema10), name='Chaikin')

    df = df.join(Chaikin)
    return df

结果:

Chaikin oscillator from this code comparing to asset's closing positions graph

Chaikin oscillator reference from TradingView

数据格式为:

  

index时间戳打开关闭高低容量Chaikin

0 个答案:

没有答案