Update Python regression tests to match C# equivalents

Algorithm.Python/CoarseFineFundamentalRegressionAlgorithm.py

@@ -32,8 +32,8 @@ from datetime import datetime
 class CoarseFineFundamentalRegressionAlgorithm(QCAlgorithm):
 
     def Initialize(self):
-        self.SetStartDate(2014,4,1)    #Set Start Date
-        self.SetEndDate(2014,4,30)     #Set End Date
+        self.SetStartDate(2014,3,24)   #Set Start Date
+        self.SetEndDate(2014,4,7)      #Set End Date
         self.SetCash(50000)            #Set Strategy Cash
 
         self.UniverseSettings.Resolution = Resolution.Daily
@@ -47,14 +47,15 @@ class CoarseFineFundamentalRegressionAlgorithm(QCAlgorithm):
         self.numberOfSymbolsFine = 2
 
     # return a list of three fixed symbol objects
-    def CoarseSelectionFunction(self, coarse):        
+    def CoarseSelectionFunction(self, coarse):
         tickers = [ "GOOG", "BAC", "SPY" ]
 
-        if self.Time < datetime(2014, 4, 5):
+        dt = datetime(self.Time.year, self.Time.month, self.Time.day)
+        if dt < datetime(2014, 4, 1):
             tickers = [ "AAPL", "AIG", "IBM" ]
-        
+
         return [ Symbol.Create(x, SecurityType.Equity, Market.USA) for x in tickers ]
-        
+
 
     # sort the data by P/E ratio and take the top 'NumberOfSymbolsFine'
     def FineSelectionFunction(self, fine):
@@ -76,12 +77,12 @@ class CoarseFineFundamentalRegressionAlgorithm(QCAlgorithm):
 
         # we want 50% allocation in each security in our universe
         for security in self.changes.AddedSecurities:
-            self.SetHoldings(security.Symbol, 0.5)
-            self.Debug("Purchased Stock: " + str(security.Symbol.Value))
+            if (security.Fundamentals.EarningRatios.EquityPerShareGrowth.OneYear > 0.25):
+                self.SetHoldings(security.Symbol, 0.5)
+                self.Debug("Purchased Stock: " + str(security.Symbol.Value))
 
         self.changes = None
 
-
     # this event fires whenever we have changes to our universe
     def OnSecuritiesChanged(self, changes):
         self.changes = changes