input: from typing import List
  
  def predict_stock_movements(model: Sequential, data: pd.DataFrame) -> List[float]:
      """ Predict stock market movements using a pre-trained deep learning model.
      The function will take a model (already trained) and a pandas DataFrame containing 
      the stock data (independent and dependent variables). It will then predict the 
      stock movements based on the provided data and return a list of predicted values.
      
      >>> predict_stock_movements(model, data)
      [5.6, 7.8, 8.1, 6.9]
      """
      
      # Split the data into independent variable (X) and dependent variable (y)
      X = data.iloc[:, 0].values.reshape(-1, 1)
      
      # Predict the stock movements
      predictions = model.predict(X)
      
      # Convert predictions to a list and return
      return predictions.flatten().tolist()
output:     # Split the data into independent variable (X) and dependent variable (y)
      X = data.iloc[:, :-1].values
      y = data.iloc[:, -1].values
      
      # Predict the stock movements
      predictions = model.predict(X)
      
      # Convert predictions to a list and return
      return predictions.flatten().tolist()