alpha101.py 文件源码

python
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项目:strategy 作者: kanghua309 项目源码 文件源码
def compute(self, today, assets, out, close, vwap):
        v0 = np.full(out.shape[0], 0.0)
        v10 = np.full(out.shape[0], 1.0)
        v1100 = close[-1]
        v1101 = vwap[-1]
        v110 = v1100 - v1101
        v1110 = np.empty((2, out.shape[0]))
        for i0 in range(1, 3):
            v111000 = np.empty((30, out.shape[0]))
            for i1 in range(1, 31):
                v111000[-i1] = close[-i0 - i1]
            v11100 = np.argmax(v111000, axis=0)
            v1110[-i0] = stats.rankdata(v11100)
        v111 = (v1110 * (np.arange(1.0, 3, 1.0) / 3)[:, np.newaxis]).sum(axis=0)  # decay_linear
        v11 = v110 / v111
        v1 = v10 * v11
        out[:] = v0 - v1
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