code: def trade(
      start_date,
      end_date,
      ticker_list,
      data_source,
      time_interval,
      technical_indicator_list,
      drl_lib,
      env,
      model_name,
      API_KEY,
      API_SECRET,
      API_BASE_URL,
      trade_mode="backtesting",
      if_vix=True,
      **kwargs,
  ):
      if trade_mode == "backtesting":
          # use test function for backtesting mode
          test(
              start_date,
              end_date,
              ticker_list,
              data_source,
              time_interval,
              technical_indicator_list,
              drl_lib,
              env,
              model_name,
              if_vix=True,
              **kwargs,
          )
  
      elif trade_mode == "paper_trading":
          # read parameters
          try:
              net_dim = kwargs.get(
                  "net_dimension", 2**7
              )  # dimension of NNs
              cwd = kwargs.get(
                  "cwd", "./" + str(model_name)
              )  # current working directory
              state_dim = kwargs.get(
                  "state_dim"
              )  # dimension of state/observations space
              action_dim = kwargs.get(
                  "action_dim"
              )  # dimension of action space
          except:
              raise ValueError(
                  "Fail to read parameters. Please check inputs for net_dim, cwd, state_dim, action_dim."
              )
  
          # initialize paper trading env
          paper_trading = AlpacaPaperTrading(
              ticker_list,
              time_interval,
              drl_lib,
              model_name,
              cwd,
              net_dim,
              state_dim,
              action_dim,
              API_KEY,
              API_SECRET,
              API_BASE_URL,
              technical_indicator_list,
              turbulence_thresh=30,
              max_stock=1e2,
              latency=None,
          )
  
          # AlpacaPaperTrading.run()  # run paper trading
          paper_trading.run()
          # bug fix run is a instance function not static
  
      else:
          raise ValueError(
              "Invalid mode input! Please input either 'backtesting' or 'paper_trading'."
          )
  
imports: from __future__ import annotations
  from finrl.meta.env_stock_trading.env_stock_papertrading import AlpacaPaperTrading
  from finrl.test import test
label_desc: Use image node_id 1 for calling a global function with example usage: trade(start_date, end_date, ticker_list, data_source, time_interval, technical_indicator_list, drl_lib, env, model_name, API_KEY, API_SECRET, API_BASE_URL, trade_mode, if_vix) without return types