Source code for qf_lib.backtesting.position_sizer.simple_position_sizer

#     Copyright 2016-present CERN – European Organization for Nuclear Research
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from typing import List, Optional

from qf_lib.backtesting.signals.signal import Signal
from qf_lib.backtesting.order.execution_style import MarketOrder
from qf_lib.backtesting.order.order import Order
from qf_lib.backtesting.order.time_in_force import TimeInForce
from qf_lib.backtesting.position_sizer.position_sizer import PositionSizer
from qf_lib.common.enums.frequency import Frequency


[docs] class SimplePositionSizer(PositionSizer): """ Converts each signal to a market order targeting a portfolio weight equal to ``Exposure`` value. ``Exposure.LONG`` (``1.0``) → invest **100%** of portfolio value in the asset. ``Exposure.SHORT`` (``-1.0``) → **-100%** (full short). ``Exposure.OUT`` (``0.0``) → flat. Default on :class:`~qf_lib.backtesting.trading_session.backtest_trading_session_builder.BacktestTradingSessionBuilder`. Examples -------- >>> sizer = SimplePositionSizer(broker, data_provider, OrderFactory(broker, data_provider), ... BacktestSignalsRegister()) >>> long_signal = Signal(ticker, Exposure.LONG, 0.02, 100.0, now) >>> orders = sizer.size_signals([long_signal], use_stop_losses=False) >>> orders[0].quantity 1000.0 >>> short_signal = Signal(ticker, Exposure.SHORT, 0.02, 100.0, now) >>> sizer.size_signals([short_signal], use_stop_losses=False)[0].quantity -1000.0 """ def _generate_market_orders(self, signals: List[Signal], time_in_force: TimeInForce, frequency: Frequency = None) \ -> List[Optional[Order]]: target_percentages = { self._get_specific_ticker(signal.ticker): signal.suggested_exposure.value for signal in signals } market_order_list = self._order_factory.target_percent_orders( target_percentages, MarketOrder(), time_in_force, frequency=frequency ) return market_order_list