code: def data_fetch(
      start_time, end_time, stock_list, resolution=Resolution.Daily
  ):
      # resolution: Daily, Hour, Minute, Second
      qb = QuantBook()
      for stock in stock_list:
          qb.AddEquity(stock)
      history = qb.History(
          qb.Securities.Keys, start_time, end_time, resolution
      )
      return history
  
imports: from __future__ import annotations
  import numpy
label_desc: Use image node_id 2 for calling the QuantConnectEngineer obj's underlying member method code with example usage: obj.data_fetch(start_time, end_time, stock_list, resolution) and returns: history