Adaptive Learning, Stock Market, Predictions, Machine Learning, Artificial Intelligence.
1937, 1910, 1915, 1943, 1926, 1935]); x_train = x[0:173] u = 2**(-30); l=5; N=60; y,wn = lmsPred(x_train,l,u,N) plt.plot(x, color = 'black') plt.plot(y, color = 'red') plt.show() pred = y[-l:] realvalues = x[-l] error = 100*(pred.T-realvalues)/realvalues print(abs(error)) Results One example of