# 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.Custom.Tiingo import *
###
### This example algorithm shows how to import and use Tiingo daily prices data.
###
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###
###
class TiingoDailyDataAlgorithm(QCAlgorithm):
def Initialize(self):
# Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
self.SetStartDate(2017, 1, 1)
self.SetEndDate(2017, 12, 31)
self.SetCash(100000)
# Set your Tiingo API Token here
Tiingo.SetAuthCode("my-tiingo-api-token")
self.ticker = "AAPL"
self.symbol = self.AddData(TiingoDailyData, self.ticker, Resolution.Daily).Symbol
self.emaFast = self.EMA(self.symbol, 5)
self.emaSlow = self.EMA(self.symbol, 10)
def OnData(self, slice):
# OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
if not slice.ContainsKey(self.ticker): return
# Extract Tiingo data from the slice
row = slice[self.ticker]
self.Log(f"{self.Time} - {row.Symbol.Value} - {row.Close} {row.Value} {row.Price} - EmaFast:{self.emaFast} - EmaSlow:{self.emaSlow}")
# Simple EMA cross
if not self.Portfolio.Invested and self.emaFast > self.emaSlow:
self.SetHoldings(self.symbol, 1)
elif self.Portfolio.Invested and self.emaFast < self.emaSlow:
self.Liquidate(self.symbol)