def get_weights():
'''
Uses least squares with the top stocks to predict recent close prices
'''
top_url = key_info_url(top_symbols())
data = request_csv(top_url)
numeric_data = process(data)
A = numeric_data[:, :9]
b = numeric_data[:, 9]
weights = np.linalg.lstsq(A, b)[0]
return weights
def test_yahoo_top_symbols(self):
"""
Assert there are at least 300 stocks going into call
"""
t = top_symbols()
self.assertGreaterEqual(t, 300)
