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quantconnect--lean/Algorithm.Python/IndicatorWithRenkoBarsRegressionAlgorithm.py
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Ricardo Andrés Marino Rojas f8b79b8d6b
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Make indicators work with RenkoBars and VolumeRenkoBars (#7360)
* Address JB comment

* Remove repeated fields in BaseRenkoBar

- Add new unit test to all indicators that inherit from
  IndicatorBase<TradeBar>. This test asserts the indicators can receive
  RenkoBar's as input

* Add Regression test and improve unit tests

- Change `Volume` property from `RenkoBar.cs` since RenkoBar's don't
  have Volume. Now it throws an error when accessed

* Address required changes

* Add Python regression test and enhance unit tests

* Enhance unit and regression tests

* Assert indicator current value at the end

* Allow more indicators to use Renko/VolumeRenkoBar
2023-07-10 11:27:03 -03:00

61 lines
2.6 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 *
### <summary>
### Regrssion algorithm to assert we can update indicators that inherit from IndicatorBase<TradeBar> with RenkoBar's
### </summary>
### <meta name="tag" content="renko" />
### <meta name="tag" content="indicators" />
### <meta name="tag" content="using data" />
### <meta name="tag" content="consolidating data" />
class IndicatorWithRenkoBarsRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2013, 10, 7)
self.SetEndDate(2013, 10, 9)
self.AddEquity("SPY")
self.AddEquity("AIG")
spyRenkoConsolidator = RenkoConsolidator(0.1)
spyRenkoConsolidator.DataConsolidated += self.OnSPYDataConsolidated
aigRenkoConsolidator = RenkoConsolidator(0.05)
aigRenkoConsolidator.DataConsolidated += self.OnAIGDataConsolidated
self.SubscriptionManager.AddConsolidator("SPY", spyRenkoConsolidator)
self.SubscriptionManager.AddConsolidator("AIG", aigRenkoConsolidator)
self.mi = MassIndex("MassIndex", 9, 25)
self.wasi = WilderAccumulativeSwingIndex("WilderAccumulativeSwingIndex", 8)
self.wsi = WilderSwingIndex("WilderSwingIndex", 8)
self.b = Beta("Beta", 3, "AIG", "SPY")
self.indicators = [self.mi, self.wasi, self.wsi, self.b]
def OnSPYDataConsolidated(self, sender, renkoBar):
self.mi.Update(renkoBar)
self.wasi.Update(renkoBar)
self.wsi.Update(renkoBar)
self.b.Update(renkoBar)
def OnAIGDataConsolidated(self, sender, renkoBar):
self.b.Update(renkoBar)
def OnEndOfAlgorithm(self):
for indicator in self.indicators:
if not indicator.IsReady:
raise Exception(f"{indicator.Name} indicator should be ready")
elif indicator.Current.Value == 0:
raise Exception(f"The current value of the {indicator.Name} indicator should be different than zero")