Module backtrader.analyzers.annualreturn
Expand source code
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)
from collections import OrderedDict
from backtrader.utils.py3 import range
from backtrader import Analyzer
class AnnualReturn(Analyzer):
    '''
    This analyzer calculates the AnnualReturns by looking at the beginning
    and end of the year
    Params:
      - (None)
    Member Attributes:
      - ``rets``: list of calculated annual returns
      - ``ret``: dictionary (key: year) of annual returns
    **get_analysis**:
      - Returns a dictionary of annual returns (key: year)
    '''
    def stop(self):
        # Must have stats.broker
        cur_year = -1
        value_start = 0.0
        value_cur = 0.0
        value_end = 0.0
        self.rets = list()
        self.ret = OrderedDict()
        for i in range(len(self.data) - 1, -1, -1):
            dt = self.data.datetime.date(-i)
            value_cur = self.strategy.stats.broker.value[-i]
            if dt.year > cur_year:
                if cur_year >= 0:
                    annualret = (value_end / value_start) - 1.0
                    self.rets.append(annualret)
                    self.ret[cur_year] = annualret
                    # changing between real years, use last value as new start
                    value_start = value_end
                else:
                    # No value set whatsoever, use the currently loaded value
                    value_start = value_cur
                cur_year = dt.year
            # No matter what, the last value is always the last loaded value
            value_end = value_cur
        if cur_year not in self.ret:
            # finish calculating pending data
            annualret = (value_end / value_start) - 1.0
            self.rets.append(annualret)
            self.ret[cur_year] = annualret
    def get_analysis(self):
        return self.retClasses
- class AnnualReturn (*args, **kwargs)
- 
This analyzer calculates the AnnualReturns by looking at the beginning and end of the year Params- (None)
 Member Attributes: - 
rets: list of calculated annual returns
- 
ret: dictionary (key: year) of annual returns
 get_analysis: - Returns a dictionary of annual returns (key: year)
 Expand source codeclass AnnualReturn(Analyzer): ''' This analyzer calculates the AnnualReturns by looking at the beginning and end of the year Params: - (None) Member Attributes: - ``rets``: list of calculated annual returns - ``ret``: dictionary (key: year) of annual returns **get_analysis**: - Returns a dictionary of annual returns (key: year) ''' def stop(self): # Must have stats.broker cur_year = -1 value_start = 0.0 value_cur = 0.0 value_end = 0.0 self.rets = list() self.ret = OrderedDict() for i in range(len(self.data) - 1, -1, -1): dt = self.data.datetime.date(-i) value_cur = self.strategy.stats.broker.value[-i] if dt.year > cur_year: if cur_year >= 0: annualret = (value_end / value_start) - 1.0 self.rets.append(annualret) self.ret[cur_year] = annualret # changing between real years, use last value as new start value_start = value_end else: # No value set whatsoever, use the currently loaded value value_start = value_cur cur_year = dt.year # No matter what, the last value is always the last loaded value value_end = value_cur if cur_year not in self.ret: # finish calculating pending data annualret = (value_end / value_start) - 1.0 self.rets.append(annualret) self.ret[cur_year] = annualret def get_analysis(self): return self.retAncestorsClass variables- var frompackages
- var packages
- var params
 Inherited members