Marco,

Thanks for catching the issue.

I have modified the code.

• Updated the logic to create the time series dataset
• Updated the test data
• Increased epochs from 100 to 200
• Updated the dataset to plot the actual values

If I use the updated logic to create the time series before scaling the values and where lookback is just 1 step

First looking at the raw data

input_data[:10]

Then applying the updated logic

input_data[:10]

# time series with two inputs
lookback= 1
test_size=int(.3 * len(stock_data))
X=[]
y=[]
for i in range(len(stock_data)-lookback-1):
    t=[]
    for j in range(0,lookback):
        
        t.append(input_data[[(i+j)], :])
    X.append(t)
    y.append(input_data[i+ lookback,1])

and then just printing first 5 values

for i in range(5):
    
    print(str(X[i]) + " "  + str(y[i]))

the output is

Please let me know if that fixes the problem

Thanks