Hey everyone,
I'm new to Python and Quantopian. I got this error when I build the algo.

AttributeError: 'SIDData' object has no attribute 'IsInside'
... USER ALGORITHM:32, in Entry
if (context.S[stock].IsInside):

Can anyone help me out please?
Below is my sample strategy:

import zipline  
Inside_bar_min = 5

def initialize(context):  
    set_symbol_lookup_date('2015-09-01')  
    context.zyc = symbols('spy','aapl','nflx')[0]  
    beg_min = 20  
    end_min = 40  
    for i in xrange(beg_min,end_min,5):  
        schedule_function(ReconcileData,date_rules.every_day(),time_rules.market_open(minutes=i))  
        schedule_function(InsideBar,date_rules.every_day(),time_rules.market_open(minutes=i))  
        schedule_function(Entry,date_rules.every_day(),time_rules.market_open(minutes=i))  
    context.S = {}  

def handle_data(context,data):  
    record(Leverage  = context.account.leverage)  
    if (context.zyc in context.S and 'IsInside' in context.S[context.zyc]):  
        record(InsideBar_count = 2 if context.S[context.zyc].IsInside else 0)  
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
def Entry(context, data):  
    positions = context.portfolio.positions  
    openPositions = [stock for stock in positions if positions[stock].amount != 0]  
    eligible = []  
    for stock in context.S:  
        if (stock in openPositions):  
            continue  
        if (get_open_orders(stock)):  
            continue  
        if (context.S[stock].IsInside):  
            eligible.append(stock)

    eligible += openPositions  
    eligibleCount = float(len(eligible))  
    for stock in eligible:  
        order_target_percent(stock, (1.0 / eligibleCount))

#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
def ReconcileData(context, data):  
    # Reconcile available stocks into context.S  
    for stock in data:  
        if (stock not in context.S):  
            context.S[stock] = zipline.protocol.SIDData(stock)  
    # Reconcile backwards for securities we can no longer trade  
    removeThese = []  
    for stock in context.S:  
        if (stock not in data):  
            removeThese.append(stock)  
    for stock in removeThese:  
        del context.S[stock]  
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~  
def InsideBar(context,data):  
    highDeck = history(2*Inside_bar_min+1, "1m", "high").dropna(axis=1)  
    lowDeck  = history(2*Inside_bar_min+1, "1m", "low").dropna(axis=1)  
    highDeck = highDeck[[sid for sid in highDeck if sid in data]]  
    lowDeck  = lowDeck[[sid for sid in lowDeck if sid in data]]  
    for stock in context.S:  
        context.S[stock].IsInside = False  
        isInsideTestFailed = False  
        context.S[stock].outside_high = max(highDeck[stock].iloc[-10:-6])  
        context.S[stock].outside_low = min(lowDeck[stock].iloc[-10:-6])  
        context.S[stock].inside_high = max(highDeck[stock].iloc[-5:-1])  
        context.S[stock].inside_low = min(lowDeck[stock].iloc[-5:-1])  
        if context.S[stock].outside_high < context.S[stock].inside_high or context.S[stock].outside_low >context.S[stock].inside_low:  
             isInsideTestFailed = True  
             break  
        if (not isInsideTestFailed):  
             context.S[stock].IsInside = True  

Thank you