[Python] How can I solve dimensional of time series problem in TensorFlow?

I am trying to train a Feed Forward NN but when I fit the model then says "None values not supported", I already check data and not have NaN or Null, my timeseries is a Stock timeseries so dont have any other dimension than price.

model = Sequential()
model.add(Dense(64, input_shape=(1,), activation='relu'))
model.add(Dense(32, activation='relu'))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mae'])


Stock_AMZN_PRCL_Train = Stock_AMZN_PRCL_Train.values.reshape(-1, 1)


model.fit(Stock_AMZN_PRCL_Train, epochs=100, batch_size=32, validation_split=0.2)


I am expecting to fit my model

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