Files
quantconnect--lean/Algorithm.Python/AltData/USTreasuryYieldCurveRateAlgorithm.py
Martin Molinero 1d43dcd601 Add BaseData.AdjustResolution
- Adding `BaseData.AdjustResolution()` that should return a valid
resolution for the given data and security type.
This allows us to set a limitation which is useful to avoid invalid data
requests or unnecessary fill forward situations. The user will be
notified through a console message.
- Adding unit and regression test
- Updating example algorithms custom data resolution
- Some performance improvements. Wont change console color if
`SelectedOptimization` is defined
2019-11-04 20:38:26 -03:00

72 lines
2.7 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 clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Data import *
from QuantConnect.Data.Custom.USTreasury import *
from datetime import datetime, timedelta
class USTreasuryYieldCurveRateAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2000, 3, 1)
self.SetEndDate(2019, 9, 15)
self.SetCash(100000)
self.spy = self.AddEquity("SPY", Resolution.Hour).Symbol
self.yieldCurve = self.AddData(USTreasuryYieldCurveRate, "USTYCR", Resolution.Daily).Symbol
self.lastInversion = datetime(1, 1, 1)
# Request 60 days of history with the USTreasuryYieldCurveRate custom data Symbol.
history = self.History(USTreasuryYieldCurveRate, self.yieldCurve, 60, Resolution.Daily)
# Count the number of items we get from our history request
self.Debug(f"We got {len(history)} items from our history request")
def OnData(self, data):
if not data.ContainsKey(self.yieldCurve):
return
rates = data[self.yieldCurve]
# Check for None before using the values
if rates.TenYear is None or rates.TwoYear is None:
return
# Only advance if a year has gone by
if (self.Time - self.lastInversion) < timedelta(days=365):
return
# if there is a yield curve inversion after not having one for a year, short SPY for two years
if not self.Portfolio.Invested and rates.TwoYear > rates.TenYear:
self.Debug(f"{self.Time} - Yield curve inversion! Shorting the market for two years")
self.SetHoldings(self.spy, -0.5)
self.lastInversion = self.Time
return
# If two years have passed, liquidate our position in SPY
if self.Time - self.lastInversion >= timedelta(days=365 * 2):
self.Liquidate(self.spy)