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★ Should you trade the Dow or S&P500?
★ Trade Dow or S&P500 at
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Which is better to trade or invest in, S&P 500 or Dow Jones?

Dow: Spread on the Dow goes from 1.6 to 5.8
S&P 500: Spread on the S&P500 0.4 to 0.9; the tighter spreads are when the USA cash session is open so 2.30pm to 9pm UK time.

Dow: Margin typically is 0.5%
S&P 500: Margin typically is 0.5%

Dow trades rounds the clock
S&P 500: 14.30 to 23.00

The average true range of the Dow Jones is about 175 points as I’m recording this while the average true range of the S&P 500 is about 16 points. This is where things get a little bit different. So comparatively speaking, the bid-offer spread on the Dow Jones is better than the S&P. The percentage of the spread compared to the atr is more competitive on the Dow Jones; however the S&P 500 trades in 0.25 increments and 4 will make 1 point. The S&P 500 tends to be more stable as opposed the Dow Jones so you’re less likely to be taken out on everyday noise.
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Lagged unbiased constructs

This video explains what the is interpretation of lagged independent variables in an econometric model, and introduces the concept of a ‚lag distribution‘. Check out for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: Accompanying this series, there will be a book:

PyTorch Lecture twelve: RNN1 that Essentials

PyTorch Zero To All Lecture by Sung Kim at HKUST

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Valuable time Combination of Predicting which have Navy Machine Learning

Time Series Forecasting with Azure Machine Learning

This video shows how to build, train and deploy a time series forecasting solution with Azure Machine Learning. You are guided through every step of the modeling process including:
• Set up your development environment
• Access and examine the data
• Train using an Automated Machine Learning
• Explore the results
• Register and access your time series forecasting model through the Azure portal.
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Прогноз продаж сети магазинов Walmart используя исторические данные и регрессионный анализ Microsoft Azure Machine Learning Studio
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