code: def senkou_a(data):
      
      sa = (tenkansen(data) + kijunsen(data)) / 2
      # shift forward
      shift_by = np.repeat(np.nan, 26)
      sa = np.append(shift_by, sa)
      return sa
docs: Senkou A (Leading Span A)
  
      Formula:
      (TenkanSen + KijunSen) / 2 :: Shift Forward 26 bars