Python algorithms typing cleanup [part 1] (#8716)

* Cleanup algorithms python typing

* Minor tweaks

* Improve indicator extensions

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>

Algorithm.Python/CustomDataIndicatorExtensionsAlgorithm.py

@@ -30,31 +30,31 @@ class CustomDataIndicatorExtensionsAlgorithm(QCAlgorithm):
     # Initialize the data and resolution you require for your strategy
     def initialize(self):
 
-        self.set_start_date(2014,1,1) 
-        self.set_end_date(2018,1,1)  
+        self.set_start_date(2014,1,1)
+        self.set_end_date(2018,1,1)
         self.set_cash(25000)
-        
+
         self.ibm = 'IBM'
         self.spy = 'SPY'
-        
+
         # Define the symbol and "type" of our generic data
         self.add_data(CustomDataEquity, self.ibm, Resolution.DAILY)
         self.add_data(CustomDataEquity, self.spy, Resolution.DAILY)
-        
+
         # Set up default Indicators, these are just 'identities' of the closing price
         self.ibm_sma = self.sma(self.ibm, 1, Resolution.DAILY)
         self.spy_sma = self.sma(self.spy, 1, Resolution.DAILY)
-        
+
         # This will create a new indicator whose value is sma_s_p_y / sma_i_b_m
         self.ratio = IndicatorExtensions.over(self.spy_sma, self.ibm_sma)
-        
+
         # Plot indicators each time they update using the PlotIndicator function
         self.plot_indicator("Ratio", self.ratio)
         self.plot_indicator("Data", self.ibm_sma, self.spy_sma)
-    
+
     # OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
     def on_data(self, data):
-        
+
         # Wait for all indicators to fully initialize
         if not (self.ibm_sma.is_ready and self.spy_sma.is_ready and self.ratio.is_ready): return
         if not self.portfolio.invested and self.ratio.current.value > 1: