Did you take the average of your history windows?

    MA25 = data.history(context.stocks, 'price', 25, '1m').mean()  
    MA50 = data.history(context.stocks, 'price', 50, '1m').mean()  

I think that should resolve your issue.

If I do that i get the error "ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()."

I tried it this way as well as defined in the Q2 migration guide

MA25X = data.history(asset, 'price', 25, '1m')
MA50X = data.history(asset, 'price', 50, '1m')

MA25 = MA25X.mean()
MA25 = MA50X.mean()

When I did that it would run but no orders were filled. I dont think its the syntax of the orders either, if I get SMAs derived from Q1 syntax it runs. Im really stumped on this one.

Hi Bradley,

Would you be willing to share more of your code so that I can try to help debug it? Without more of the algorithm, it's difficult to pinpoint the issue!

import numpy as np  
import pandas as pd  
import scipy.stats as stats  
import time  
from quantopian.pipeline import Pipeline  
from quantopian.pipeline import CustomFactor  
from quantopian.pipeline.data import morningstar  
from quantopian.pipeline.factors import EWMA, Latest, SimpleMovingAverage  
from quantopian.pipeline.data.builtin import USEquityPricing  
from quantopian.algorithm import attach_pipeline, pipeline_output



def initialize(context):  


    context.stocks = symbols('AA')  







    set_commission(commission.PerShare(cost=0.003, min_trade_cost=1.00))

def handle_data(context, data):

    for stock in context.stocks:  
        MA5X = data.history(context.stocks, 'price', 5, '1d').mean()  
        MA10X = data.history(context.stocks, 'price', 10, '1d').mean()  
        MA50X = data.history(context.stocks, 'price', 50, '1d').mean()  
        MA5 = MA5X.mean()  
        MA10 = MA10X.mean()  
        MA50 = MA50X.mean()  



        position = context.portfolio.positions  
        cash = context.portfolio.cash

        if MA5 >= MA50:  
            if MA10 >= MA50:  
                if position == 0:  
                    if cash > 6000:  
                        order(stock, 300)

        if MA5 <= MA50:  
            if MA10 <= MA50:  
                if position == 0:  
                    if cash > 6000:  
                        order(stock, -300)  

        if MA5 >= MA10 and position < 0:  
            order_target(stock, 0)  

        if MA5 <= MA10 and position > 0:  
            order_target(stock, 0)  
# still troubleshooting it. It looks like its finding if MA5 >= MA50: to be always "true" for some reason....  

Hi Bradley,

The issue here is that position == 0 will never be True since position is a dictionary. Instead, you'll want to do something like if position[stock].amount == 0 or if stock in position. A good way to debug this issue is to either add print statements to your algo to figure out which of your conditions are evaluating to True and to print out certain values. Alternatively, you can use the builtin debugger tool.