code: def active_futures(ticker: str, dt) -> str:
      
      t_info = ticker.split()
      prefix, asset = ' '.join(t_info[:-1]), t_info[-1]
      info = const.market_info(f'{prefix[:-1]}1 {asset}')
  
      f1, f2 = f'{prefix[:-1]}1 {asset}', f'{prefix[:-1]}2 {asset}'
      fut_2 = fut_ticker(gen_ticker=f2, dt=dt, freq=info['freq'])
      fut_1 = fut_ticker(gen_ticker=f1, dt=dt, freq=info['freq'])
  
      fut_tk = bdp(tickers=[fut_1, fut_2], flds='Last_Tradeable_Dt', cache=True)
  
      if pd.Timestamp(dt).month < pd.Timestamp(fut_tk.last_tradeable_dt[0]).month: return fut_1
  
      d1 = bdib(ticker=f1, dt=dt)
      d2 = bdib(ticker=f2, dt=dt)
  
      return fut_1 if d1[f1].volume.sum() > d2[f2].volume.sum() else fut_2
docs: Active futures contract
  
      Args:
          ticker: futures ticker, i.e., ESA Index, Z A Index, CLA Comdty, etc.
          dt: date
  
      Returns:
          str: ticker name