class_docstr: A simple reward scheme that rewards the agent for incremental increases
  in net worth.
  
  Parameters
  ----------
  window_size : int
      The size of the look back window for computing the reward.
  
  Attributes
  ----------
  window_size : int
      The size of the look back window for computing the reward.
class_docstr_tok: ["A","simple","reward","scheme","that","rewards","the","agent","for","incremental","increases","in","net","worth",".","Parameters","--","--","--","--","--","window_size",":","int","The","size","of","the","look","back","window","for","computing","the","reward",".","Attributes","--","--","--","--","--","window_size",":","int","The","size","of","the","look","back","window","for","computing","the","reward","."]
code: def __init__(self, window_size: int = 1):
      self._window_size = self.default("window_size", window_size)
  
imports: from abc import abstractmethod
  import numpy
  import pandas
  from tensortrade.env.generic import RewardScheme, TradingEnv
  from tensortrade.feed.core import Stream, DataFeed
  import math
label_desc: Use image node_id 1 to create a new SimpleProfit object from inherited base classes: TensorTradeRewardScheme with example: obj = SimpleProfit(window_size)