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Algorithm Flow


This algorithm is set up to trade every minute.

In handle_data, the function is executing every minute but the output datetime is different from the current datetime.

The desired result is a datetime of the function's output that matches the current datetime.

for example, is giving this:
2011-01-01 10:40 - handle_data INFO - 2011-01-01 16:40:00 (output1) / 2011-01-01 16:39:00 (output2)

instead of this(the desired result):
2011-01-01 10:40 - handle_data INFO - 2011-01-01 10:40:00 (output1) / 2011-01-01 10:39:00 (output2)

I can't seem to get the handle_data function to work in its current minute. Instead it appears to be looking forward into the future by 8 hours.
Any help here is appreciated.


Clone Algorithm
Total Returns
Max Drawdown
Benchmark Returns
Returns 1 Month 3 Month 6 Month 12 Month
Alpha 1 Month 3 Month 6 Month 12 Month
Beta 1 Month 3 Month 6 Month 12 Month
Sharpe 1 Month 3 Month 6 Month 12 Month
Sortino 1 Month 3 Month 6 Month 12 Month
Volatility 1 Month 3 Month 6 Month 12 Month
Max Drawdown 1 Month 3 Month 6 Month 12 Month
import quantopian.algorithm as algo
from quantopian.algorithm import attach_pipeline, pipeline_output
from quantopian.pipeline import Pipeline
from import USEquityPricing
from quantopian.pipeline.filters import QTradableStocksUS
import numpy as np
import pandas as pd
import datetime 
from import Fundamentals  
from quantopian.pipeline.factors import SimpleBeta
from import EquityPricing

def initialize(context):
    context.aapl = sid(24)
    context.bench = sid(8554)

    total_minutes = 6*60 + 30
    for i in range(1, total_minutes):
        if i % 1 == 0:

    algo.attach_pipeline(make_pipeline(), 'pipeline')

def make_pipeline():
    base_universe = QTradableStocksUS()

    beta = SimpleBeta(target=sid(8554), regression_length=3)

    pipe = Pipeline(
            'beta': beta,
    return pipe

def before_trading_start(context, data):
    context.output = algo.pipeline_output('pipeline')

    context.security_list = context.output.index

def signal(price, volume, beta):
    return ((price*1.01) / volume) * beta
def handle_data(context, data):
    h = data.history(context.aapl, fields=["price", "volume"], bar_count=5, frequency="1m")
    b = context.output.beta[symbol('AAPL')]
    s1 = signal(h['price'][-1:], h['volume'][-1:], b)
    s2 = signal(h['price'][-2:-1], h['volume'][-2:-1], b)
    s3 = s1.append(s2)
    context.s3 = s3
def rebalance(context, data):
    if not context.s3.empty:
        if context.s3.ix[-1,-1] > context.s3.ix[0,-1]:
            order(symbol('AAPL'), -100)
  "Selling %s" % (symbol('AAPL')))
        if context.s3.ix[-1,-1] < context.s3.ix[0,-1]:
            order(symbol('AAPL'), 100)
  "Buying %s" % (symbol('AAPL')))
    if len(context.portfolio.positions) > 0:  
        all_positions = "Current positions for %s : " % (str(get_datetime()))  
        for pos in context.portfolio.positions:  
            if context.portfolio.positions[pos].amount != 0:  
                all_positions += "%s at %s shares, " % (pos.symbol, context.portfolio.positions[pos].amount)  

There was a runtime error.
2 responses

When using the log method, the time to the left is always the simulated algo time displayed in the users current timezone. There's no way to change that other than setting your computer to a different timezone. The time to the right is whatever data one is logging. In this case it is data returned by the data.history method which is always the simulated algo time in UTC. (Since you are seeing an -8 hour difference then you probably are in the US/Pacific time zone?)

If you just want them to match then convert the result of the data.history method to US/Pacific time.

    h = data.history(context.aapl, fields=["price", "volume"], bar_count=5, frequency="1m")  
    h = h.tz_convert('US/Pacific')

However, It's often more clear to have results in the actual market time which is US/Eastern.

    h = data.history(context.aapl, fields=["price", "volume"], bar_count=5, frequency="1m")  
    h = h.tz_convert('US/Eastern')

The times will be off by 3 hours but that is probably what one on the west coast is accustomed to seeing.

Hope that helps.


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Yes, that fixed it.

Thanks for the help.