# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.## 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 http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.from AlgorithmImports import *import base64### <summary>### In this algorithm we show how you can easily use the universe selection feature to fetch symbols### to be traded using the BaseData custom data system in combination with the AddUniverse{T} method.### AddUniverse{T} requires a function that will return the symbols to be traded.### </summary>### <meta name="tag" content="using data" />### <meta name="tag" content="universes" />### <meta name="tag" content="custom universes" />class DropboxUniverseSelectionAlgorithm(QCAlgorithm):def initialize(self) -> None:self.set_start_date(2017, 7, 4)self.set_end_date(2018, 7, 4)self._backtest_symbols_per_day = {}self._current_universe = []self.universe_settings.resolution = Resolution.DAILY# Order margin value has to have a minimum of 0.5% of Portfolio value, allows filtering out small trades and reduce fees.# Commented so regression algorithm is more sensitive#self.settings.minimum_order_margin_portfolio_percentage = 0.005self.add_universe("my-dropbox-universe", self.selector)def selector(self, date: datetime) -> list[str]:# handle live mode file formatif self.live_mode:# fetch the file from dropboxstr = self.download("https://www.dropbox.com/s/2l73mu97gcehmh7/daily-stock-picker-live.csv?dl=1")# if we have a file for today, return symbols, else leave universe unchangedself._current_universe = str.split(',') if len(str) > 0 else self._current_universereturn self._current_universe# backtest - first cache the entire fileif len(self._backtest_symbols_per_day) == 0:# No need for headers for authorization with dropbox, these two lines are for example purposesbyte_key = base64.b64encode("UserName:Password".encode('ASCII'))# The headers must be passed to the Download method as dictionaryheaders = { 'Authorization' : f'Basic ({byte_key.decode("ASCII")})' }str = self.download("https://www.dropbox.com/s/ae1couew5ir3z9y/daily-stock-picker-backtest.csv?dl=1", headers)for line in str.splitlines():data = line.split(',')self._backtest_symbols_per_day[data[0]] = data[1:]index = date.strftime("%Y%m%d")self._current_universe = self._backtest_symbols_per_day.get(index, self._current_universe)return self._current_universedef on_data(self, slice: Slice) -> None:if slice.bars.count == 0:returnif not self._changes:return# start freshself.liquidate()percentage = 1 / slice.bars.countfor trade_bar in slice.bars.values():self.set_holdings(trade_bar.symbol, percentage)# reset changesself._changes = Nonedef on_securities_changed(self, changes: SecurityChanges) -> None:self._changes = changes
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