class_docstr: Tracks the performance of the algorithm.
code: def __repr__(self):
      return "%s(%r)" % (
          self.__class__.__name__,
          {"simulation parameters": self.sim_params},
      )
  
imports: from __future__ import division
  import logbook
  import pandas
  from pandas.tseries.tools import normalize_date
  from catalyst.finance.performance.period import PerformancePeriod
  from catalyst.errors import NoFurtherDataError
  import catalyst.finance.risk
  from .position_tracker import PositionTracker
  from catalyst.constants import LOG_LEVEL
label_desc: Use image node_id 2 for calling the PerformanceTracker obj's underlying member method code with example usage: obj.__repr__() and returns: unknown