if context.dal in data:
order(context.dal,100)

Thank you..!

# For this example, we're going to write a simple momentum script.  When the  
  # stock goes up quickly, we're going to buy; when it goes down quickly, we're  
  # going to sell.  Hopefully we'll ride the waves.

  # To run an algorithm in Quantopian, you need two functions: initialize and  
  # handle_data.

def initialize(context):  
  # This initialize function sets any data or variables that you'll use in  
  # your algorithm.  For instance, you'll want to define the security (or  
  # securities) you want to backtest.  You'll also want to define any  
  # parameters or values you're going to use.

  # In our example, we're looking at Apple.  If you re-type this line  
  # yourself, you'll see the auto-complete that is available for the  
  # security ID.  
  context.dal = sid(2079)  
  context.ual = sid(28051)  
  context.dal_invested = False  
  context.ual_invested = False  
  # In these two lines, we set the maximum and minimum we want our algorithm  
  # to go long or short our security.  You don't have to set limits like this  
  # when you write an algorithm, but it's good practice.  
  context.max_notional = 1000000.1  
  context.min_notional = -1000000.0

def handle_data(context, data):  
  # This handle_data function is where the real work is done.  Our data is  
  # minute-level tick data, and each minute is called a frame.  This function  
  # runs on each frame of the data.  
  #price = data[context.dal].price  
  if context.dal in data:  
    order(context.dal,100)