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Any way to suppress "YYYY-MM-DD WARN Your order for XX shares of XYZ failed to fill by the end of day and was canceled." ?

I am working on an algo that is a both a bottom-feeder and a top-seller. Meaning, it starts the day with a long list of symbols it would like to buy but only if the price is right. And as well, it establishes a price for everything it holds. So, all its orders are either buy or sell at a limit price and most days only a few are filled.

At the end of each day, the log file is full of "YYYY-MM-DD WARN Your order for XX shares of XYZ failed to fill by the end of day and was canceled." messages which are of no interest in this case but hide other valuable info.

Any way to suppress that log message?

Richard
http://quant-coder.prokopyshen.com/ContactMe

6 responses

I've been manually cancelling any open order at EOD as a workaround.

I would check the liquidity of the equity's or book depth at target price level, but it could be a list of different issues. You may want to place a loop to stop continued orders on said security with open orders. For example,
for sec in context.securities_list:
open_orders = get_open_orders()
if sec in open_orders:
continue

SOLVED!

I always thought of Quantopian orders as "Good for the Day", but I think more accurately they are "Good for the Day + we warn you in the log when we cancel them".

So, to more accurately emulate a "Good for the Day with no warning", I run the following code snippet just before market close to anticipate what Quantopian will be doing:


    # Cancel any open orders  
    for S in get_open_orders():  
       for O in get_open_orders(S):  
          cancel_order(O)

I wonder how did you run your code before market close ?
@Richard Prokopyshen

Use the schedule function to run specific code at specific times. Place any schedule functions in the initialize portion of one's algo. Check out the docs https://www.quantopian.com/docs/api-reference/algorithm-api-reference#quantopian.algorithm.schedule_function.

So, in this case, to run a function to cancel all orders at market close do something like this

def initialize(context):  
    """  
    Initialize constants, create pipeline, and schedule functions  
    """

    # Cancel any open orders  
    # Do this at market close to suppress partial fill warnings  
    schedule_function(  
        func=cancel_all_open_orders,  
        date_rule=date_rules.every_day(),  
        time_rule=time_rules.market_close()  
    ) 

def cancel_all_open_orders(context, data):  
    """  
    Cancels all open orders  
    """  
    for security, open_orders in get_open_orders().items():  
        for order_object in open_orders:  
            cancel_order(order_object)

One comment...

While the 'failed to fill by the end of day' logging may be annoying, it is VERY informative. One should really modify their algo logic to mitigate this warning rather than ignore it. If an order fails to fill it implies your algo isn't in control. Ideally, one's algo should specify exactly how much of each stock to buy or sell. The backtester will then simulate what price the order fills at. If orders are being canceled, it means the backtester is essentially taking over the order quantity logic. Moreover, in live trading, there is the real potential that these orders will fill. The backtest results could therefore differ dramatically from actual results if there are a lot of these 'unfilled orders'. I would strongly recommend addressing any underlying issues in one's algorithm and ensure orders do all fill by the end of the day.

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@Dan Whitnable
Excellent comment Dan; I completely concur. Just to give an example, my algo was attempting to establish positions in thinly traded small-caps that lacked liquidity. And, as you suggested, I had to rethink my logic at a different level once I thought this through. In the end, I did cap order quantity based on past volume, and then resubmit the next day if needed. If it took a week to enter a position then that is what it took.

Best,
Richard