I am practicing using the QuantConnect Framework. I am using the EMA example that QC has provided for us, and tried applying some of the QC framework to it. 

How can I get the EMA for all Forex equities and trade them? I used using another For each loop be it didn't work. 

Is there anything I could improve? 

class WarmupHistoryAlgorithm(QCAlgorithm):

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(2018,5,2) #Set Start Date
self.SetEndDate(2020,5,2) #Set End Date
self.SetCash(100000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
forex = self.AddForex("EURUSD", Resolution.Daily)
forex = self.AddForex("NZDUSD", Resolution.Daily)


def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''

class EMAAlphaModel(AlphaModel):

def __init__(self):
self.fast_period = 20
self.slow_period = 60
self.fast = ExponentialMovingAverage("EURUSD", self.fast_period)
self.slow = ExponentialMovingAverage("EURUSD", self.slow_period)
self.period = timedelta(hours=2)

def Update(self, algorithm, data):

if not self.slow.IsReady:

for security in algorithm.ActiveSecurities.Values:
if self.fast.Current.Value > self.slow.Current.Value:
return Insight.Group(
Insight.Price(security.Symbol, self.period, InsightDirection.Up)

if self.fast.Current.Value < self.slow.Current.Value:
return Insight.Group(
Insight.Price(security.Symbol, self.period, InsightDirection.Down)

return []

def OnSecuritiesChanged(self, algorithm, changes):

for security in algorithm.ActiveSecurities.Values:
history = algorithm.History([security.Symbol], self.slow_period + 1)

for index, row in history.loc[security.Symbol].iterrows():
self.fast.Update(index, row["close"])
self.slow.Update(index, row["close"])