Changing OnData rate to 5 seconds

Hi All-

I've built a strategy upon minutely universe resolution. Now that it's mostly stable I want to speed things up a bit, but second data is too computationally intensive. Something like a few seconds (5 or 10 seconds) for the OnData rate seems to be more appropriate for the strategy. 

I couldn't find anything in the Documentation or Forum covering this, but I do know that OnData is set by the universe resolution. 

Attached is the time and data related code I have currently. Basically just a rollingwindow that consolidates the minutely data into daily bars. I removed the fluff for the sake of readability. 

So, is a custom resolution possible to feed into OnData??

PS: This algo only trades Equities (for now) 

    def Initialize(self):

        self.SetStartDate(2022, 8, 1)
        self.SetCash(1000000)
        self.rebalanceTime = datetime.min
        self.AddUniverse(self.CoarseSelectionFilter, self.FineSelectionFilter)
        self.UniverseSettings.Resolution = Resolution.Minute
        self.AddEquity("SPY")
        self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.BeforeMarketClose("SPY", 10), self.ExitPositions)
        self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.At(9, 31), self.ScanTargets)
        self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.Midnight, self.ClearFills)
        self.Data = {}
        self.AddRiskManagement(TrailingStopRiskManagementModel(0.05))
        
    def OnData(self, data):
        for symbol in self.Targets.keys():
            symbolData = self.Data[symbol]

            if not symbolData.IsReady: 
               continue

            open_orders = self.Transactions.GetOpenOrders(symbol)


            if not self.Portfolio[symbol].Invested and len(open_orders) == 0 and symbol not in self.filled_today.keys(): 
            # Strategy logic.....
            
     def CoarseSelectionFilter(self, coarse):
     	# filter logic.... 
            
            
     def OnSecuritiesChanged(self, changes):
        for security in changes.AddedSecurities:
            symbol = security.Symbol
            if symbol not in self.Data:
                self.Data[symbol] = SymbolData(self, symbol)
        
        for security in changes.RemovedSecurities:
            symbol = security.Symbol
            if symbol in self.Data:
                symbolData = self.Data.pop(symbol, None)
                self.SubscriptionManager.RemoveConsolidator(symbol, symbolData.consolidator)

class SymbolData:
    def __init__(self, algorithm, symbol):
        self.algorithm = algorithm
        self.symbol = symbol
        self.Bars = RollingWindow[TradeBar](6)
        self.consolidator = TradeBarConsolidator(timedelta(days=1))
        self.consolidator.DataConsolidated += self.OnDataConsolidated
        algorithm.SubscriptionManager.AddConsolidator(symbol, self.consolidator)
    
    def OnDataConsolidated(self, sender, bar):
        self.Bars.Add(bar)
    
    @property
    def IsReady(self):
        return self.Bars.IsReady