code: def geometric_brownian_motion_levels(params: "ModelParameters"):
      """Constructs a sequence of price levels for an asset which evolves
      according to a geometric brownian motion process.
  
      Parameters
      ----------
      params : ModelParameters
          The parameters for the stochastic model.
  
      Returns
      -------
      `np.array`
          The price levels for the asset
      """
      return convert_to_prices(
          params, geometric_brownian_motion_log_returns(params)
      )
  
file_path: tensortrade/tensortrade/stochastic/processes/gbm.py
imports: import numpy
  import pandas
  from stochastic.processes.noise import GaussianNoise
  from tensortrade.stochastic.processes.brownian_motion import brownian_motion_log_returns
  from tensortrade.stochastic.utils.helpers import get_delta, scale_times_to_generate, convert_to_prices
  from tensortrade.stochastic.utils.parameters import ModelParameters, default
label_desc: Use image node_id 2 for calling a global function with example usage: geometric_brownian_motion_levels(params) and returns: convert_to_prices