class_docstr: Based on ffn's GroupStats with a few extra helper methods.
  
  Args:
      * backtests (list): List of backtests
  
  Attributes:
      * backtest_list (list): List of bactests in the same order as provided
      * backtests (dict): Dict of backtests by name
class_docstr_tok: ["Based","on","ffn","'s","GroupStats","with","a","few","extra","helper","methods",".","Args",":","*","backtests","(","list",")",":","List","of","backtests","Attributes",":","*","backtest_list","(","list",")",":","List","of","bactests","in","the","same","order","as","provided","*","backtests","(","dict",")",":","Dict","of","backtests","by","name"]
code: def __init__(self, *backtests):
      tmp = [
          pd.DataFrame({x.name: x.strategy.prices}) for x in backtests
      ]
      super(Result, self).__init__(*tmp)
      self.backtest_list = backtests
      self.backtests = {x.name: x for x in backtests}
  
imports: from __future__ import division
  from copy import deepcopy
  import bt
  import ffn
  import pandas
  import numpy
  from matplotlib import pyplot
  import pyprind
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new Result object from inherited base classes: ffn with example: obj = Result()