Simple question on including current data in Indicators

I'm working on a strategy that calculates the RSI of closing prices of ETFs.   I am going to use the (extensive!) indicators library to my make work a little simpler.   For example, in the code snippet below, I can get the RSI of the close price of SPY.

One question I have is, how do I include the current price into the calculation being done in the indicator?  If I understand the docs correctly, the 3-period RSI calculation being done below only includes data for T-3, T-2, and T-1  (T being today).   As I am estimating the close and am executing right before it, I would like my RSI calculation to include data for T, T-1 and T-2. 

Basically, my question is:
Is there an easy way to get indicators to include the current price data along with historical data in daily algorithms that execute at the close?

from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Indicators import *

class Strategy(QCAlgorithm):


self.SetStartDate(2017, 12, 1)
self.SetEndDate(2017, 12, 20)

self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin)

self.etfs = ['SPY']
self.rsi_data = {}

for etf in self.etfs:
self.AddEquity(etf, Resolution.Daily)
self.Securities[etf].FeeModel = ConstantFeeTransactionModel(0)
self.Securities[etf].SlippageModel = ConstantSlippageModel(0)

#add indicators here
self.rsi_data[etf] = self.RSI(etf, 3)

self.Schedule.On(self.DateRules.EveryDay('SPY'), self.TimeRules.BeforeMarketClose('SPY', 1), Action(self.Rebalance))

def OnData(self, slice):

def Rebalance(self):

for etf in self.etfs:
if self.rsi_data[etf].IsReady:

Update Backtest

Hi, you could use the current price to update the rsi indicator


After making trade dcision based on the updated rsi value, reset the indicator and initialize the indicator with the history again

# loop the history dataframe to get the time index and the price value
for bar in self.History([Symbol], 3, Resolution.Daily).iloc[Symbol]['close']:
self.rsi.Update(time index, price value)

Update Backtest


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