This algo times out, but I thought that handle_data could take as long as ~ 58 seconds. Why does it time out?
import time
def initialize(context):
pass
def handle_data(context, data):
order(sid(24), 50)
time.sleep(10) # pause 10 seconds
Is there any way to detect a handle_data time-out condition within the algorithm, to avoid an error?
Here's some code that runs, but will time-out if context.iterations is increased to 90000000. I've inferred a time-out restriction of ~ 4 seconds, but in live trading, it is ~ 50 seconds, correct?
Anyone know how to catch the time-out error so the algorithm doesn't crash?
import time
def initialize(context):
context.stocks = sid(24)
context.iterations = 85000000
def handle_data(context, data):
start = time.clock()
for k in range(context.iterations):
pass
elapsed = time.clock() - start
print elapsed
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