def buying_pressure(close_data, low_data):
catch_errors.check_for_input_len_diff(close_data, low_data)<EOL>bp = [close_data[idx] - np.min([low_data[idx], close_data[idx-<NUM_LIT:1>]]) for idx in range(<NUM_LIT:1>, len(close_data))]<EOL>bp = fill_for_noncomputable_vals(close_data, bp)<EOL>return bp<EOL>
Buying Pressure.

Formula:
BP = current close - min()