INNER CODE UNIT · Python

eta_e

firmai/deltapy · deltapy/extract.py:119

      eta_e = (w_mean * np.power(time[N - 1] -
                time[0], 2) * S1 / (sigma2 * S2 * N ** 2))
      final.append(eta_e)
      keys.append(key)
    return {"Interact__{}".format(k): eta_e for eta_e, k in zip(final,keys) }

# var_index(df["Close"].values)


#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


#-> In Package
def symmetry_looking(x, param=[{"r": 0.2}]):

    if not isinstance(x, (np.ndarray, pd.Series)):
        x = np.asarray(x)
    mean_median_difference = np.abs(np.mean(x) - np.median(x))

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