class_docstr: Tracks the performance of the algorithm.
code: def progress(self):
      if self.emission_rate == "minute":
          # Fake a value
          return 1.0
      elif self.emission_rate == "daily":
          return self.session_count / self.total_session_count
  
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 3 for calling the PerformanceTracker obj's underlying member method code with example usage: obj.progress() and returns: int, unknown