input: Write a function to create a Python neural network model that takes in a given trajectory of stock prices and predicts the stock price for the next day.
  
  assert create_model().predict(np.array([[10, 10.4, 10.5, 10.6, 10.7, 10.9, 11]]))[0][0]
output: def create_model():
      import tensorflow as tf
      model = tf.keras.Sequential([
          tf.keras.layers.Dense(64, activation='relu', input_shape=(7,)),
          tf.keras.layers.Dense(32, activation='relu'),
          tf.keras.layers.Dense(1)
      ])
      model.compile(optimizer='adam', loss='mean_squared_error')
      return model