Hi, I'm pretty new to all this so here's my code. I'm trying to get the top 20 stocks with highest volatility. I get volatility by ATR/price. I keep getting this error: 

Runtime Error: AttributeError : 'SelectionData' object has no attribute 'ATR'  at __init__    self.atr = self.ATR(self.symbol in main.py: line 48

My code's below, I was wondering about how I would go about correcting this?

"""
This algorithm will find 20 stocks with highest momentum so far at 9:00am to give market time to move. 
I will buy these stocks if the SPY is positive for the day. It will sell stocks at 11:45am because 
this is when its lunch time and trading dies down.

"""
class CalmMagentaBat(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2018, 1, 1)
        self.SetStartDate(2021, 1, 1)
        self.SetCash(100000)
        
        self.UniverseSettings.Resolution = Resolution.Minute
        self.UniverseSettings.Leverage = 2
        
        self.stateData = {}
        
        self.AddUniverse(self.MyCoarseFilterFunction)
        
        
        
    def MyCoarseFilterFunction(self, coarse):
        for c in coarse:
            if c.Symbol not in self.stateData:
                self.stateData[c.Symbol] = SelectionData(c.Symbol, 30)
        values = [x for x in self.stateData.values()]
        values.sort(key=lambda x: x.volatility, reverse=True)
        return [x.symbol for x in values[:20]]
        
    # this event fires whenever we have changes to our universe
    def OnSecuritiesChanged(self, changes):
        # liquidate removed securities
        for security in changes.RemovedSecurities:
            if security.Invested:
                self.Liquidate(security.Symbol)

        # we want 10% allocation in each security in our universe
        for security in changes.AddedSecurities:
            self.SetHoldings(security.Symbol, 0.05)

    def OnData(self, data):
        pass

class SelectionData(object):
    def __init__(self, symbol, period):
        self.symbol = symbol
        self.atr = self.ATR(self.symbol, period, Resolution.Minute)
        self.volatility = (self.atr.Current.Value)/(self.Securities[self.symbol].Price)

    def update(self, time, price):
        pass