Source code for qf_lib.analysis.tearsheets.tearsheet_without_benchmark

#     Copyright 2016-present CERN – European Organization for Nuclear Research
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#     Licensed under the Apache License, Version 2.0 (the "License");
#     you may not use this file except in compliance with the License.
#     You may obtain a copy of the License at
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#         http://www.apache.org/licenses/LICENSE-2.0
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#     Unless required by applicable law or agreed to in writing, software
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#     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#     See the License for the specific language governing permissions and
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from datetime import datetime

from qf_lib.common.utils.error_handling import ErrorHandling
from qf_lib.analysis.tearsheets.abstract_tearsheet import AbstractTearsheet
from qf_lib.common.enums.plotting_mode import PlottingMode
from qf_lib.containers.series.qf_series import QFSeries
from qf_lib.documents_utils.document_exporting.element.grid import GridElement
from qf_lib.documents_utils.document_exporting.element.new_page import NewPageElement
from qf_lib.documents_utils.document_exporting.element.paragraph import ParagraphElement
from qf_lib.plotting.charts.returns_heatmap_chart import ReturnsHeatmapChart
from qf_lib.plotting.helpers.create_qq_chart import create_qq_chart
from qf_lib.plotting.helpers.create_returns_bar_chart import create_returns_bar_chart
from qf_lib.plotting.helpers.create_returns_distribution import create_returns_distribution
from qf_lib.settings import Settings


[docs]@ErrorHandling.class_error_logging() class TearsheetWithoutBenchmark(AbstractTearsheet): """ Creates a PDF report without a benchamrk. Parameters ---------- settings: Settings settings of the project pdf_exporter: PDFExporter tool that creates the pdf with the result strategy_series: QFSeries timeseries of the trading of the strategy live_date: datetime if set it is used to generate the cone chart title: str title of the document """ def __init__(self, settings: Settings, pdf_exporter, strategy_series: QFSeries, live_date: datetime = None, title: str = "Strategy Analysis"): super().__init__(settings, pdf_exporter, strategy_series, live_date, title) def build_document(self): series_list = [self.strategy_series] self._add_header() self.document.add_element(ParagraphElement("\n")) self._add_perf_chart(series_list) self.document.add_element(ParagraphElement("\n")) self._add_returns_statistics_charts(self.strategy_series) self._add_ret_distribution_and_qq() self.document.add_element(ParagraphElement("\n")) self._add_rolling_ret_and_vol_chart(self.strategy_series) # Next Page self.document.add_element(NewPageElement()) self._add_header() self.document.add_element(ParagraphElement("\n")) self._add_cone_and_quantiles() self._add_underwater_and_skewness() self._add_statistics_table(series_list) def _add_ret_distribution_and_qq(self): grid = GridElement(mode=PlottingMode.PDF, figsize=self.half_image_size, dpi=self.dpi) # Distribution of Monthly Returns chart = create_returns_distribution(self.strategy_series) grid.add_chart(chart) # QQ chart chart = create_qq_chart(self.strategy_series) grid.add_chart(chart) self.document.add_element(grid) def _add_returns_statistics_charts(self, series): grid = self._get_new_grid() # Monthly returns heatmap heatmap_chart = ReturnsHeatmapChart(series, title="Monthly Returns - {}".format(series.name)) grid.add_chart(heatmap_chart) # Annual returns bar chart annual_ret_chart = create_returns_bar_chart(series, title="Annual Returns - {}".format(series.name)) grid.add_chart(annual_ret_chart) self.document.add_element(grid)