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pep8 conversion of python algos (#7942)

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* pep8 conversion of python algos

* adding 10 more pep8 converted algos
This commit is contained in:
Ashutosh
2024-04-18 23:44:56 +05:30
committed by GitHub
parent ed351c8726
commit 1cae47ab25
15 changed files with 363 additions and 360 deletions
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Algorithm.Python/UnregisterIndicatorRegressionAlgorithm.py
+17 -17
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@@ -17,35 +17,35 @@ from AlgorithmImports import *
### Example and regression algorithm asserting the behavior of registering and unregistering an indicator from the engine
### </summary>
class UnregisterIndicatorRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
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(2013,10, 7)
self.SetEndDate(2013,10,11)
self.set_start_date(2013,10, 7)
self.set_end_date(2013,10,11)
spy = self.AddEquity("SPY")
ibm = self.AddEquity("IBM")
spy = self.add_equity("SPY")
ibm = self.add_equity("IBM")
self._symbols = [ spy.Symbol, ibm.Symbol ]
self._trin = self.TRIN(self._symbols, Resolution.Minute)
self._symbols = [ spy.symbol, ibm.symbol ]
self._trin = self.trin(self._symbols, Resolution.MINUTE)
self._trin2 = None
def OnData(self, data):
def on_data(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 self._trin.IsReady:
self._trin.Reset()
self.UnregisterIndicator(self._trin)
if self._trin.is_ready:
self._trin.reset()
self.unregister_indicator(self._trin)
# let's create a new one with a differente resolution
self._trin2 = self.TRIN(self._symbols, Resolution.Hour)
self._trin2 = self.trin(self._symbols, Resolution.HOUR)
if not self._trin2 is None and self._trin2.IsReady:
if self._trin.IsReady:
if not self._trin2 is None and self._trin2.is_ready:
if self._trin.is_ready:
raise ValueError("Indicator should of stop getting updates!")
if not self.Portfolio.Invested:
self.SetHoldings(self._symbols[0], 0.5)
self.SetHoldings(self._symbols[1], 0.5)
if not self.portfolio.invested:
self.set_holdings(self._symbols[0], 0.5)
self.set_holdings(self._symbols[1], 0.5)