Hey Jamie,
Great question. The best way to do this is to iterate through all the stocks in context.secs in a for loop (https://docs.python.org/2/tutorial/controlflow.html) and have a counter that increments everytime you order a stock. Having that counter allows you to make sure that you're never ordering more than 5 securities per day. And if the counter ever goes past 5, the algorithm will simply not order the security.
Take a look at the code I've posted, play around with it, and let me know if you have any questions with it
def initialize(context):
#trading top 10 holdings of SP500
# context.secs = sid(8554)
context.secs = [ sid(24),
sid(5061),
sid(8347),
sid(46631),
sid(4151),
sid(1091),
sid(3149),
sid(8151),
sid(5938),
sid(25006)]
def handle_data(context, data):
#: Define number of stocks traded
num_stocks = 0
#: Iterate over each security in context.secs
for stock in context.secs:
#: Make sure that we have data for that security
if stock in data:
s_mean = data[stock].mavg(60)
l_mean = data[stock].mavg(120)
current_price = data[stock].price
qty = context.portfolio.positions_value
cash = context.portfolio.cash
#: Check that we're only ordering, at most, 5 stocks per day
if num_stocks < 5:
# condition required to enter a buy trade.
if s_mean < l_mean and cash > current_price:
# place the buy order, in dollars
order_value(stock, 9000)
log.info("Buying %s" % (stock.symbol))
num_stocks += 1
# condition required to enter the sell trade
elif s_mean > l_mean and qty > 10000:
# place sell order, in dollars
order_value(stock, -3000)
log.info("Selling %s" % (stock.symbol))
num_stocks += 1
# graphs
#record(stock_price=data[context.security].price)
record(cash = context.portfolio.cash)
Seong
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