def compute(self, today, assets, out, close, open, vwap):
v000 = open[-1]
v00100 = np.empty((10, out.shape[0]))
for i0 in range(1, 11):
v00100[-i0] = vwap[-i0]
v0010 = v00100.sum(axis=0)
v0011 = np.full(out.shape[0], 10.0)
v001 = v0010 / v0011
v00 = v000 - v001
v0 = stats.rankdata(v00)
v10 = np.full(out.shape[0], -1.0)
v11000 = close[-1]
v11001 = vwap[-1]
v1100 = v11000 - v11001
v110 = stats.rankdata(v1100)
v11 = np.abs(v110)
v1 = v10 * v11
out[:] = v0 * v1
# (-1 * correlation(open, volume, 10))
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