code: def buying_pressure(close_data, low_data):
      
      catch_errors.check_for_input_len_diff(close_data, low_data)
      bp = [close_data[idx] - np.min([low_data[idx], close_data[idx-1]]) for idx in range(1, len(close_data))]
      bp = fill_for_noncomputable_vals(close_data, bp)
      return bp
docs: Buying Pressure.
  
      Formula:
      BP = current close - min()