Files
quantconnect--lean/Algorithm.Python/CustomDataAddDataRegressionAlgorithm.py
T
Martin-Molinero 03f56481d4
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Refactor python algorithm import (#5657)
* Python research import improvements

- Improve start.py for research env
- Remove unrequired imports

* Centralize algorithm imports

* Add regression test GH action

* Unit test python import clean up

* Join research and main imports

* More python import clean up

* Fix failing skipped regression algorithm
2021-06-15 19:06:06 -03:00

69 lines
3.7 KiB
Python

# 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 *
from QuantConnect.Data.Custom.SEC import *
from QuantConnect.Data.Custom.USTreasury import *
### <summary>
### Regression algorithm checks that adding data via AddData
### works as expected
### </summary>
class CustomDataAddDataRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2013, 10, 7)
self.SetEndDate(2013, 10, 11)
self.SetCash(100000)
twxEquity = self.AddEquity("TWX", Resolution.Daily).Symbol
customTwxSymbol = self.AddData(SECReport8K, twxEquity, Resolution.Daily).Symbol
self.googlEquity = self.AddEquity("GOOGL", Resolution.Daily).Symbol
customGooglSymbol = self.AddData(SECReport10K, "GOOGL", Resolution.Daily).Symbol
usTreasury = self.AddData(USTreasuryYieldCurveRate, "GOOGL", Resolution.Daily).Symbol
usTreasuryUnderlyingEquity = Symbol.Create("MSFT", SecurityType.Equity, Market.USA)
usTreasuryUnderlying = self.AddData(USTreasuryYieldCurveRate, usTreasuryUnderlyingEquity, Resolution.Daily).Symbol
optionSymbol = self.AddOption("TWX", Resolution.Minute).Symbol
customOptionSymbol = self.AddData(SECReport10K, optionSymbol, Resolution.Daily).Symbol
if customTwxSymbol.Underlying != twxEquity:
raise Exception(f"Underlying symbol for {customTwxSymbol} is not equal to TWX equity. Expected {twxEquity} got {customTwxSymbol.Underlying}")
if customGooglSymbol.Underlying != self.googlEquity:
raise Exception(f"Underlying symbol for {customGooglSymbol} is not equal to GOOGL equity. Expected {self.googlEquity} got {customGooglSymbol.Underlying}")
if usTreasury.HasUnderlying:
raise Exception(f"US Treasury yield curve (no underlying) has underlying when it shouldn't. Found {usTreasury.Underlying}")
if not usTreasuryUnderlying.HasUnderlying:
raise Exception("US Treasury yield curve (with underlying) has no underlying Symbol even though we added with Symbol")
if usTreasuryUnderlying.Underlying != usTreasuryUnderlyingEquity:
raise Exception(f"US Treasury yield curve underlying does not equal equity Symbol added. Expected {usTreasuryUnderlyingEquity} got {usTreasuryUnderlying.Underlying}")
if customOptionSymbol.Underlying != optionSymbol:
raise Exception("Option symbol not equal to custom underlying symbol. Expected {optionSymbol} got {customOptionSymbol.Underlying}")
try:
customDataNoCache = self.AddData(SECReport10Q, "AAPL", Resolution.Daily)
raise Exception("AAPL was found in the SymbolCache, though it should be missing")
except InvalidOperationException as e:
return
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
if not self.Portfolio.Invested and len(self.Transactions.GetOpenOrders()) == 0:
self.SetHoldings(self.googlEquity, 0.5)