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batch_transform custom field question

Does anyone know what is required to use a custom field in batch_transform function? Judging by documentation all one needs to do is add a field into the data[] structure and it would automatically be added to datapanel. Yet, if I un-comment the new_custom_field in the code example attached, the backtest crashes with run time error.

4 responses

You seem to have uncovered a bug. Even the example from the documentation fails:

def initialize(context):  
    set_universe(universe.DollarVolumeUniverse(99.9, 100.0))

def handle_data(context, data):  
    for stock in data:  
        if data[stock].price > data[stock].vwap(30):  
            data[stock]['over_vwap'] = 1  
        else:  
            data[stock]['over_vwap'] = 0

    print_signals(data)

@batch_transform(window_length=5)  
def print_signals(datapanel):  
    signal = datapanel['over_vwap']  
    log.info('\n%s' % signal)  

Further testing of length 10 back population shows that the window gets lost at times, that is usually there would be 10 back ticks for price but not always. Seems that the window drops to 1 element at times.

I have asked this question before

The Universe is static. I am not sure why Vlatko's version doesn't work because Thomas did say it should work if you remove the Universe, maybe I misunderstood his reply. Anyways, I just use a deque whenever I need a rolling history of values. If there is a better way that would be good to know.

We do have a bug in custom fields on batch transforms. Hoping for a fix next week.

Dan

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