Hi all!

I'm attempting to translate a strategy I employ on another trading platform and I am running into some troubles with running talib.wma on a computed variable. I think what is happening (with my non-existent python background) is that talib is looking for multiple values in VolUp/VolDn but it is only returning a single number. Any tips on how I can solve this issue? Also, I've been trying to follow the new documentation as best a possible so if you have any other tips on the way I am going about this or something cool that I'm missing, I'd love to hear it!

VxPlus = talib.WMA(VolUp, timeperiod=10)[-1]
VxMinus = talib.WMA(VolDn, timeperiod=10)[-1]

Very much appreciated and looking forward to learning a bunch!

The error I am getting - TypeError: Argument 'real' has incorrect type (expected numpy.ndarray, got float)

import talib

def initialize(context):  
    context.stock = sid(8554)


def handle_data(context, data):

    stock = context.stock  


    stock_data = data[stock]  
    price_hist = data.history(stock, 'volume', 10, '1d')  
    VolSlowAvg = price_hist.mean()  
    price_hist2 = data.history(stock, 'volume', 50, '1d')  
    VolFastAvg = talib.WMA(price_hist2, timeperiod=50)[-1]  
    O = data.current(stock, 'open')  
    C = data.current(stock, 'close')  
    rang = data.current(stock, 'high') - data.current(stock, 'low')  
    if C > O and rang <> 0:  
        VolUp = stock_data.volume  
    elif C < O and rang <> 0:  
        VolUp = ((rang + C - O) / (2 * rang + C - O)) * data.current(stock, 'volume')  
    else:  
        VolUp = 0.5 * data.current(stock, 'volume')  
    VolDn = data.current(stock, 'volume') - VolUp  

    VxPlus = talib.WMA(VolUp, timeperiod=10)[-1]  
    VxMinus = talib.WMA(VolDn, timeperiod=10)[-1]  
    VxNetRaw = VxPlus - VxMinus  
    VxRatio = 100 * VxNetRaw/VolFastAvg

    if data[VxRatio].stddev(10) <> None:  
        record(Price=data[context.stock].price, \  
            MA=data[VxRatio].mavg(10), \  
            Lower=data[VxRatio].mavg(10) - 2 * data[VxRatio].stddev(10), \  
            Upper=data[VxRatio].mavg(10) + 2 * data[VxRatio].stddev(10))