Files
OpenBB/openbb_terminal/portfolio/portfolio_controller.py
2022-06-16 11:02:27 -04:00

1289 lines
45 KiB
Python

"""Portfolio Controller"""
__docformat__ = "numpy"
import argparse
import logging
import os
from pathlib import Path
from typing import List
import pandas as pd
from prompt_toolkit.completion import NestedCompleter
from openbb_terminal import feature_flags as obbff
from openbb_terminal.decorators import log_start_end
from openbb_terminal.helper_funcs import (
EXPORT_BOTH_RAW_DATA_AND_FIGURES,
EXPORT_ONLY_FIGURES_ALLOWED,
EXPORT_ONLY_RAW_DATA_ALLOWED,
check_positive_float,
print_rich_table,
)
from openbb_terminal.menu import session
from openbb_terminal.parent_classes import BaseController
from openbb_terminal.portfolio import portfolio_model
from openbb_terminal.portfolio import portfolio_view
from openbb_terminal.portfolio import portfolio_helper
from openbb_terminal.portfolio.portfolio_optimization import po_controller
from openbb_terminal.rich_config import console, MenuText
from openbb_terminal.common.quantitative_analysis import qa_view
# pylint: disable=R1710,E1101,C0415,W0212,too-many-function-args,C0302
logger = logging.getLogger(__name__)
portfolios_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "portfolios")
class PortfolioController(BaseController):
"""Portfolio Controller class"""
CHOICES_COMMANDS = [
"load",
"show",
"bench",
"alloc",
"perf",
"cret",
"yret",
"mret",
"dret",
"distr",
"holdv",
"holdp",
"maxdd",
"var",
"es",
"sh",
"so",
"om",
"rvol",
"rsharpe",
"rsort",
"rbeta",
"metric",
"summary",
]
CHOICES_MENUS = [
"bro",
"po",
"pa",
]
VALID_DISTRIBUTIONS = ["laplace", "student_t", "logistic", "normal"]
AGGREGATION_METRICS = ["assets", "sectors", "countries", "regions"]
VALID_METRICS = [
"volatility",
"sharpe",
"sortino",
"maxdrawdown",
"rsquare",
"skew",
"kurtosis",
]
PATH = "/portfolio/"
def __init__(self, queue: List[str] = None):
"""Constructor"""
super().__init__(queue)
self.file_types = ["xlsx", "csv"]
self.DEFAULT_HOLDINGS_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), "..", "..", "portfolio", "holdings")
)
self.DATA_HOLDINGS_FILES = {
filepath.name: filepath
for file_type in self.file_types
for filepath in Path(self.DEFAULT_HOLDINGS_PATH).rglob(f"*.{file_type}")
if filepath.is_file()
}
self.portfolio = pd.DataFrame(
columns=[
"Date",
"Name",
"Type",
"Sector",
"Industry",
"Country",
"Price",
"Quantity",
"Fees",
"Premium",
"Investment",
"Side",
"Currency",
]
)
self.portfolio_name = ""
self.benchmark_name = ""
self.original_benchmark_name = ""
self.portlist: List[str] = os.listdir(self.DEFAULT_HOLDINGS_PATH)
self.portfolio = portfolio_model.Portfolio()
if session and obbff.USE_PROMPT_TOOLKIT:
choices: dict = {c: {} for c in self.controller_choices}
choices["load"] = {c: None for c in self.DATA_HOLDINGS_FILES}
choices["bench"] = {c: None for c in portfolio_helper.BENCHMARK_LIST}
choices["alloc"] = {c: None for c in self.AGGREGATION_METRICS}
choices["metric"] = {c: None for c in self.VALID_METRICS}
self.choices = choices
choices["support"] = self.SUPPORT_CHOICES
self.completer = NestedCompleter.from_nested_dict(choices)
def print_help(self):
"""Print help"""
mt = MenuText("portfolio/")
mt.add_menu("bro")
mt.add_menu("po")
mt.add_raw("\n")
mt.add_cmd("load")
mt.add_raw("\n")
mt.add_param("_loaded", self.portfolio_name)
mt.add_param("_riskfreerate", self.portfolio_name)
mt.add_raw("\n")
mt.add_cmd("show")
mt.add_raw("\n")
mt.add_cmd("bench")
mt.add_raw("\n")
mt.add_param("_benchmark", self.benchmark_name)
mt.add_raw("\n")
mt.add_info("_graphs_")
mt.add_cmd("holdv", self.portfolio_name and self.benchmark_name)
mt.add_cmd("holdp", self.portfolio_name and self.benchmark_name)
mt.add_cmd("cret", self.portfolio_name and self.benchmark_name)
mt.add_cmd("yret", self.portfolio_name and self.benchmark_name)
mt.add_cmd("mret", self.portfolio_name and self.benchmark_name)
mt.add_cmd("dret", self.portfolio_name and self.benchmark_name)
mt.add_cmd("distr", self.portfolio_name and self.benchmark_name)
mt.add_cmd("maxdd", self.portfolio_name and self.benchmark_name)
mt.add_cmd("rvol", self.portfolio_name and self.benchmark_name)
mt.add_cmd("rsharpe", self.portfolio_name and self.benchmark_name)
mt.add_cmd("rsort", self.portfolio_name and self.benchmark_name)
mt.add_cmd("rbeta", self.portfolio_name and self.benchmark_name)
mt.add_info("_metrics_")
mt.add_cmd("alloc", self.portfolio_name and self.benchmark_name)
mt.add_cmd("summary", self.portfolio_name and self.benchmark_name)
mt.add_cmd("metric", self.portfolio_name and self.benchmark_name)
mt.add_cmd("perf", self.portfolio_name and self.benchmark_name)
mt.add_info("_risk_")
mt.add_cmd("var", self.portfolio_name and self.benchmark_name)
mt.add_cmd("es", self.portfolio_name and self.benchmark_name)
mt.add_cmd("os", self.portfolio_name and self.benchmark_name)
console.print(text=mt.menu_text, menu="Portfolio")
port = bool(self.portfolio_name)
port_bench = bool(self.portfolio_name) and bool(self.benchmark_name)
help_text = f"""[menu]
> bro brokers holdings, \t\t supports: robinhood, ally, degiro, coinbase
> po portfolio optimization, \t optimal your portfolio weights efficiently[/menu]
[cmds]
load load data into the portfolio[/cmds]
[param]Loaded orderbook:[/param] {self.portfolio_name or ""}
[param]Risk Free Rate: [/param] {self.portfolio.rf:.2%}
{("[unvl]", "[cmds]")[port]}
show show existing transactions{("[/unvl]", "[/cmds]")[port]}
{("[unvl]", "[cmds]")[port]}
bench define the benchmark{("[/unvl]", "[/cmds]")[port]}
[param]Benchmark:[/param] {self.benchmark_name or ""}
[info]Graphs:[/info]{("[unvl]", "[cmds]")[port_bench]}
holdv holdings of assets (absolute value)
holdp portfolio holdings of assets (in percentage)
cret cumulative returns
yret yearly returns
mret monthly returns
dret daily returns
distr distribution of daily returns
maxdd maximum drawdown
rvol rolling volatility
rsharpe rolling sharpe
rsort rolling sortino
rbeta rolling beta
{("[/unvl]", "[/cmds]")[port_bench]}
[info]Metrics:[/info]{("[unvl]", "[cmds]")[port_bench]}
alloc allocation on an asset, sector, countries or regions basis
summary all portfolio vs benchmark metrics for a certain period of choice
metric portfolio vs benchmark metric for all different periods
perf performance of the portfolio versus benchmark{("[/unvl]", "[/cmds]")[port_bench]}
[info]Risk Metrics:[/info]{("[unvl]", "[cmds]")[port]}
var display value at risk
es display expected shortfall
om display omega ratio{("[/unvl]", "[/cmds]")[port]}
"""
# TODO: Clean up the reports inputs
# TODO: Edit the allocation to allow the different asset classes
# [info]Reports:[/info]
# ar annual report for performance of a given portfolio
console.print(text=help_text, menu="Portfolio")
def custom_reset(self):
"""Class specific component of reset command"""
objects_to_reload = ["portfolio"]
if self.portfolio_name:
objects_to_reload.append(f"load {self.portfolio_name}")
if self.original_benchmark_name:
objects_to_reload.append(f'bench "{self.original_benchmark_name}"')
return objects_to_reload
@log_start_end(log=logger)
def call_bro(self, _):
"""Process bro command"""
from openbb_terminal.portfolio.brokers.bro_controller import (
BrokersController,
)
self.queue = self.load_class(BrokersController, self.queue)
@log_start_end(log=logger)
def call_po(self, _):
"""Process po command"""
if self.portfolio.empty:
tickers = []
else:
tickers = (
self.portfolio._stock_tickers
+ self.portfolio._etf_tickers
+ self.portfolio._crypto_tickers
)
self.queue = self.load_class(
po_controller.PortfolioOptimizationController,
tickers,
None,
None,
self.queue,
)
@log_start_end(log=logger)
def call_load(self, other_args: List[str]):
"""Process load command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="load",
description="Load your portfolio",
)
parser.add_argument(
"-f",
"--file",
type=str,
choices=self.DATA_HOLDINGS_FILES,
dest="file",
required="-h" not in other_args,
help="The file to be loaded",
)
parser.add_argument(
"-n",
"--name",
type=str,
dest="name",
help="The name that you wish to give to your portfolio",
)
parser.add_argument(
"-r",
"--rfr",
type=float,
default=0,
dest="risk_free_rate",
help="Set the risk free rate.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-f")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser and ns_parser.file:
if ns_parser.file in self.DATA_HOLDINGS_FILES:
file_location = self.DATA_HOLDINGS_FILES[ns_parser.file]
else:
file_location = ns_parser.file # type: ignore
if str(file_location).endswith(".csv"):
self.portfolio = portfolio_model.Portfolio.from_csv(file_location)
elif str(file_location).endswith(".xlsx"):
self.portfolio = portfolio_model.Portfolio.from_xlsx(file_location)
if ns_parser.name:
self.portfolio_name = ns_parser.name
else:
self.portfolio_name = ns_parser.file
# Generate holdings from trades
self.portfolio.generate_holdings_from_trades()
# Add in the Risk-free rate
self.portfolio.add_rf(ns_parser.risk_free_rate)
console.print(f"\n[bold]Portfolio:[/bold] {self.portfolio_name}")
console.print(f"[bold]Risk Free Rate:[/bold] {self.portfolio.rf}")
console.print()
@log_start_end(log=logger)
def call_show(self, _):
"""Process show command"""
if self.portfolio.empty:
logger.warning("No portfolio loaded")
console.print("[red]No portfolio loaded.[/red]\n")
return
print_rich_table(self.portfolio.trades, show_index=False)
@log_start_end(log=logger)
def call_bench(self, other_args: List[str]):
"""Process bench command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="bench",
description="Load in a benchmark from a selected list or set your own based on the ticker.",
)
parser.add_argument(
"-b",
"--benchmark",
type=str,
default="SPY",
nargs="+",
dest="benchmark",
required="-h" not in other_args,
help="Set the benchmark for the portfolio. By default, this is SPDR S&P 500 ETF Trust (SPY).",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-b")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
# needs to be checked since we want to use the start date of the portfolio when comparing with benchmark
if self.portfolio_name:
chosen_benchmark = " ".join(ns_parser.benchmark)
if chosen_benchmark in portfolio_helper.BENCHMARK_LIST:
benchmark_ticker = portfolio_helper.BENCHMARK_LIST[chosen_benchmark]
self.original_benchmark_name = chosen_benchmark
else:
benchmark_ticker = chosen_benchmark
self.portfolio.add_benchmark(benchmark_ticker)
self.benchmark_name = self.portfolio.benchmark_info["longName"]
console.print(
f"[bold]\nBenchmark:[/bold] {self.benchmark_name} ({benchmark_ticker})"
)
else:
console.print(
"[red]Please first define the portfolio using 'load'[/red]\n"
)
console.print()
@log_start_end(log=logger)
def call_alloc(self, other_args: List[str]):
"""Process alloc command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="alloc",
description="""
Show your allocation to each asset or sector compared to the benchmark.
""",
)
parser.add_argument(
"-a",
"--agg",
default="assets",
choices=self.AGGREGATION_METRICS,
dest="agg",
help="The type of allocation aggregation you wish to do",
)
parser.add_argument(
"-t",
"--tables",
action="store_true",
default=False,
dest="tables",
help="Whether to also include the assets/sectors tables of both the benchmark and the portfolio.",
)
if other_args:
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-a")
ns_parser = self.parse_known_args_and_warn(parser, other_args, limit=10)
if ns_parser:
console.print()
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
if self.portfolio.portfolio_assets_allocation.empty:
self.portfolio.calculate_allocations()
if ns_parser.agg == "assets":
portfolio_view.display_assets_allocation(
self.portfolio.portfolio_assets_allocation,
self.portfolio.benchmark_assets_allocation,
ns_parser.limit,
ns_parser.tables,
)
elif ns_parser.agg == "sectors":
portfolio_view.display_category_allocation(
ns_parser.agg,
self.portfolio.portfolio_sectors_allocation,
self.portfolio.benchmark_sectors_allocation,
ns_parser.limit,
ns_parser.tables,
)
elif ns_parser.agg == "countries":
portfolio_view.display_category_allocation(
ns_parser.agg,
self.portfolio.portfolio_country_allocation,
self.portfolio.benchmark_country_allocation,
ns_parser.limit,
ns_parser.tables,
)
elif ns_parser.agg == "regions":
portfolio_view.display_category_allocation(
ns_parser.agg,
self.portfolio.portfolio_regional_allocation,
self.portfolio.benchmark_regional_allocation,
ns_parser.limit,
ns_parser.tables,
)
else:
console.print(
f"{ns_parser.agg} is not an available option. The options "
f"are: {', '.join(self.AGGREGATION_METRICS)}"
)
@log_start_end(log=logger)
def call_perf(self, other_args: List[str]):
"""Process performance command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="performance",
description="""
Shows performance of each trade and total performance of the portfolio versus the benchmark.
""",
)
parser.add_argument(
"-s",
"--full_shares",
action="store_true",
default=False,
dest="full_shares",
help="Whether to only make a trade with the benchmark when a full share can be bought (no partial shares).",
)
parser.add_argument(
"-t",
"--show_trades",
action="store_true",
default=False,
dest="show_trades",
help="Whether to show performance on all trades in comparison to the benchmark.",
)
parser.add_argument(
"-p",
"--period",
type=str,
choices=portfolio_helper.PERIODS,
dest="period",
default="all",
help="The file to be loaded",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
self.portfolio.mimic_portfolio_trades_for_benchmark(
full_shares=ns_parser.full_shares
)
portfolio_view.display_performance_vs_benchmark(
self.portfolio.portfolio_trades,
self.portfolio.benchmark_trades,
ns_parser.period,
ns_parser.show_trades,
)
@log_start_end(log=logger)
def call_holdv(self, other_args: List[str]):
"""Process holdv command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="holdv",
description="Display holdings of assets (absolute value)",
)
parser.add_argument(
"-s",
"--sum",
action="store_true",
default=False,
dest="sum_assets",
help="Sum all assets value over time",
)
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
raw=True,
limit=10,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_holdings_value(
self.portfolio,
ns_parser.sum_assets,
ns_parser.raw,
ns_parser.limit,
ns_parser.export,
)
@log_start_end(log=logger)
def call_holdp(self, other_args: List[str]):
"""Process holdp command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="holdp",
description="Display holdings of assets (in percentage)",
)
parser.add_argument(
"-s",
"--sum",
action="store_true",
default=False,
dest="sum_assets",
help="Sum all assets percentage over time",
)
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
raw=True,
limit=10,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_holdings_percentage(
self.portfolio,
ns_parser.sum_assets,
ns_parser.raw,
ns_parser.limit,
ns_parser.export,
)
@log_start_end(log=logger)
def call_var(self, other_args: List[str]):
"""Process var command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="var",
description="""
Provides value at risk (short: VaR) of the selected portfolio.
""",
)
parser.add_argument(
"-m",
"--mean",
action="store_true",
default=False,
dest="use_mean",
help="If one should use the mean of the portfolio return",
)
parser.add_argument(
"-a",
"--adjusted",
action="store_true",
default=False,
dest="adjusted",
help="""
If the VaR should be adjusted for skew and kurtosis (Cornish-Fisher-Expansion)
""",
)
parser.add_argument(
"-s",
"--student",
action="store_true",
default=False,
dest="student_t",
help="""
If one should use the student-t distribution
""",
)
parser.add_argument(
"-p",
"--percentile",
action="store",
dest="percentile",
type=float,
default=99.9,
help="""
Percentile used for VaR calculations, for example input 99.9 equals a 99.9 Percent VaR
""",
)
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if self.portfolio_name:
if ns_parser.adjusted and ns_parser.student_t:
console.print(
"Select either the adjusted or the student_t parameter.\n"
)
else:
qa_view.display_var(
self.portfolio.returns,
"Portfolio",
ns_parser.use_mean,
ns_parser.adjusted,
ns_parser.student_t,
ns_parser.percentile / 100,
True,
)
else:
console.print(
"[red]Please first define the portfolio using 'load'[/red]\n"
)
@log_start_end(log=logger)
def call_es(self, other_args: List[str]):
"""Process es command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="es",
description="""
Provides Expected Shortfall (short: ES) of the selected portfolio.
""",
)
parser.add_argument(
"-m",
"--mean",
action="store_true",
default=False,
dest="use_mean",
help="If one should use the mean of the portfolios return",
)
parser.add_argument(
"-d",
"--dist",
"--distributions",
dest="distributions",
type=str,
choices=self.VALID_DISTRIBUTIONS,
default="normal",
help="Distribution used for the calculations",
)
parser.add_argument(
"-p",
"--percentile",
action="store",
dest="percentile",
type=float,
default=99.9,
help="""
Percentile used for ES calculations, for example input 99.9 equals a 99.9 Percent Expected Shortfall
""",
)
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if self.portfolio_name:
qa_view.display_es(
self.portfolio.returns,
"Portfolio",
ns_parser.use_mean,
ns_parser.distributions,
ns_parser.percentile / 100,
True,
)
else:
console.print(
"[red]Please first define the portfolio using 'load'[/red]\n"
)
@log_start_end(log=logger)
def call_om(self, other_args: List[str]):
"""Process om command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="om",
description="""
Provides omega ratio of the selected portfolio.
""",
)
parser.add_argument(
"-s",
"--start",
action="store",
dest="start",
type=float,
default=0,
help="""
Start of the omega ratio threshold
""",
)
parser.add_argument(
"-e",
"--end",
action="store",
dest="end",
type=float,
default=1.5,
help="""
End of the omega ratio threshold
""",
)
ns_parser = self.parse_known_args_and_warn(parser, other_args)
if ns_parser:
if self.portfolio_name:
data = self.portfolio.returns[1:]
qa_view.display_omega(
data,
ns_parser.start,
ns_parser.end,
)
else:
if not self.portfolio_name:
console.print(
"[red]Please first define the portfolio (via 'load')[/red]\n"
)
@log_start_end(log=logger)
def call_cret(self, other_args: List[str]):
"""Process cret command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="cret",
description="Graph of cumulative returns against benchmark",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="all",
choices=list(portfolio_helper.PERIODS_DAYS.keys()),
help="Period to select start of cumulative returns",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
raw=True,
limit=10,
export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_cumulative_returns(
self.portfolio.returns,
self.portfolio.benchmark_returns,
ns_parser.period,
ns_parser.raw,
ns_parser.limit,
ns_parser.export,
)
@log_start_end(log=logger)
def call_yret(self, other_args: List[str]):
"""Process yret command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="yret",
description="End of the year returns",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="all",
choices=["3y", "5y", "10y", "all"],
help="Period to select start end of the year returns",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
raw=True,
export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_yearly_returns(
self.portfolio.returns,
self.portfolio.benchmark_returns,
ns_parser.period,
ns_parser.raw,
ns_parser.export,
)
@log_start_end(log=logger)
def call_mret(self, other_args: List[str]):
"""Process mret command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="mret",
description="Monthly returns",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="all",
choices=["3y", "5y", "10y", "all"],
help="Period to select start end of the year returns",
)
parser.add_argument(
"-s",
"--show",
action="store_true",
default=False,
dest="show_vals",
help="Show monthly returns on heatmap",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
raw=True,
export_allowed=EXPORT_ONLY_FIGURES_ALLOWED,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_monthly_returns(
self.portfolio.returns,
self.portfolio.benchmark_returns,
ns_parser.period,
ns_parser.raw,
ns_parser.show_vals,
ns_parser.export,
)
@log_start_end(log=logger)
def call_dret(self, other_args: List[str]):
"""Process dret command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="dret",
description="Daily returns",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="all",
choices=["3y", "5y", "10y", "all"],
help="Period to select start end of the year returns",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
raw=True,
limit=10,
export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_daily_returns(
self.portfolio.returns,
self.portfolio.benchmark_returns,
ns_parser.period,
ns_parser.raw,
ns_parser.limit,
ns_parser.export,
)
@log_start_end(log=logger)
def call_maxdd(self, other_args: List[str]):
"""Process maxdd command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="maxdd",
description="Show portfolio maximum drawdown",
)
ns_parser = self.parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_ONLY_FIGURES_ALLOWED
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_maximum_drawdown(self.portfolio.portfolio_value)
@log_start_end(log=logger)
def call_rvol(self, other_args: List[str]):
"""Process rolling volatility command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="rvol",
description="Show rolling volatility portfolio vs benchmark",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="1y",
choices=list(portfolio_helper.PERIODS_DAYS.keys()),
help="Period to apply rolling window",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_rolling_volatility(
self.portfolio.benchmark_returns,
self.portfolio.returns,
period=ns_parser.period,
export=ns_parser.export,
)
@log_start_end(log=logger)
def call_rsharpe(self, other_args: List[str]):
"""Process rolling sharpe command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="rsharpe",
description="Show rolling sharpe portfolio vs benchmark",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="1y",
choices=list(portfolio_helper.PERIODS_DAYS.keys()),
help="Period to apply rolling window",
)
parser.add_argument(
"-r",
"--rfr",
type=check_positive_float,
dest="risk_free_rate",
default=self.portfolio.rf,
help="Set risk free rate for calculations.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_rolling_sharpe(
self.portfolio.benchmark_returns,
self.portfolio.returns,
period=ns_parser.period,
risk_free_rate=ns_parser.risk_free_rate,
export=ns_parser.export,
)
@log_start_end(log=logger)
def call_rsort(self, other_args: List[str]):
"""Process rolling sortino command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="rsort",
description="Show rolling sortino portfolio vs benchmark",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="1y",
choices=list(portfolio_helper.PERIODS_DAYS.keys()),
help="Period to apply rolling window",
)
parser.add_argument(
"-r",
"--rfr",
type=check_positive_float,
dest="risk_free_rate",
default=self.portfolio.rf,
help="Set risk free rate for calculations.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_rolling_sortino(
self.portfolio.benchmark_returns,
self.portfolio.returns,
period=ns_parser.period,
risk_free_rate=ns_parser.risk_free_rate,
export=ns_parser.export,
)
@log_start_end(log=logger)
def call_rbeta(self, other_args: List[str]):
"""Process rolling beta command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="rbeta",
description="Show rolling beta portfolio vs benchmark",
)
parser.add_argument(
"-p",
"--period",
type=str,
dest="period",
default="1y",
choices=list(portfolio_helper.PERIODS_DAYS.keys()),
help="Period to apply rolling window",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_rolling_beta(
self.portfolio.benchmark_returns,
self.portfolio.returns,
period=ns_parser.period,
export=ns_parser.export,
)
@log_start_end(log=logger)
def call_metric(self, other_args: List[str]):
"""Process metric command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="metric",
description="Display metric of choice for different periods",
)
parser.add_argument(
"-m",
"--metric",
type=str,
dest="metric",
default="-h" not in other_args,
choices=self.VALID_METRICS,
help="Period to apply rolling window",
)
parser.add_argument(
"-r",
"--rfr",
type=check_positive_float,
dest="risk_free_rate",
default=self.portfolio.rf,
help="Set risk free rate for calculations.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-m")
ns_parser = self.parse_known_args_and_warn(
parser, other_args, export_allowed=EXPORT_ONLY_RAW_DATA_ALLOWED
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
if ns_parser.metric == "skew":
portfolio_view.display_skewness(self.portfolio, ns_parser.export)
elif ns_parser.metric == "kurtosis":
portfolio_view.display_kurtosis(self.portfolio, ns_parser.export)
elif ns_parser.metric == "volatility":
portfolio_view.display_volatility(self.portfolio, ns_parser.export)
elif ns_parser.metric == "sharpe":
portfolio_view.display_sharpe_ratio(
self.portfolio, ns_parser.risk_free_rate, ns_parser.export
)
elif ns_parser.metric == "sortino":
portfolio_view.display_sortino_ratio(
self.portfolio, ns_parser.risk_free_rate, ns_parser.export
)
elif ns_parser.metric == "maxdrawdown":
portfolio_view.display_maximum_drawdown_ratio(
self.portfolio, ns_parser.export
)
elif ns_parser.metric == "rsquare":
portfolio_view.display_rsquare(self.portfolio, ns_parser.export)
@log_start_end(log=logger)
def call_distr(self, other_args: List[str]):
"""Process distr command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="distr",
description="Compute distribution of daily returns",
)
parser.add_argument(
"-p",
"--period",
type=str,
choices=portfolio_helper.PERIODS,
dest="period",
default="all",
help="The file to be loaded",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
raw=True,
export_allowed=EXPORT_BOTH_RAW_DATA_AND_FIGURES,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_distribution_returns(
self.portfolio.returns,
self.portfolio.benchmark_returns,
ns_parser.period,
ns_parser.raw,
ns_parser.export,
)
@log_start_end(log=logger)
def call_summary(self, other_args: List[str]):
"""Process summary command"""
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="summary",
description="Display summary of portfolio vs benchmark",
)
parser.add_argument(
"-p",
"--period",
type=str,
choices=portfolio_helper.PERIODS,
dest="period",
default="all",
help="The file to be loaded",
)
parser.add_argument(
"-r",
"--rfr",
type=check_positive_float,
dest="risk_free_rate",
default=self.portfolio.rf,
help="Set risk free rate for calculations.",
)
if other_args and "-" not in other_args[0][0]:
other_args.insert(0, "-p")
ns_parser = self.parse_known_args_and_warn(
parser,
other_args,
export_allowed=EXPORT_ONLY_RAW_DATA_ALLOWED,
)
if ns_parser:
if check_portfolio_benchmark_defined(
self.portfolio_name, self.benchmark_name
):
portfolio_view.display_summary_portfolio_benchmark(
self.portfolio.returns,
self.portfolio.benchmark_returns,
ns_parser.period,
ns_parser.risk_free_rate,
ns_parser.export,
)
def check_portfolio_benchmark_defined(portfolio_name: str, benchmark_name: str) -> bool:
"""Check that portfolio and benchmark have been defined
Parameters
----------
portfolio_name: str
Portfolio name, will be empty if not defined
benchmark_name: str
Benchmark name, will be empty if not defined
Returns
-------
bool
If both portfolio and benchmark have been defined
"""
if portfolio_name and benchmark_name:
return True
if not portfolio_name:
if not benchmark_name:
console.print(
"[red]Please first define the portfolio (via 'load') "
"and the benchmark (via 'bench').[/red]\n"
)
else:
console.print("[red]Please first define the portfolio (via 'load')[/red]\n")
else:
console.print("[red]Please first define the benchmark (via 'bench')[/red]\n")
return False