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.ret

Classes

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 code
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.ret

Ancestors

Class variables

var frompackages
var packages
var params

Inherited members