New Video: Free Stock Analysis (dividend paying) based on Jan 4, 2021 market close. A $750 value, free.

1/5/2021

This morning we made an Ask Me Anything (AMA) video with a corporate update. We quickly move into how we advance our stock market analysis using our quantum algorithm. We use both classical and quantum analysis.

We intended to give a corporate update and AMA, but then disclose our latest stock pick and how it works. We discuss how 'the book' works to know bid and ask volume and prices (Level 2) to help inform when to buy and sell a stock, and what happens with good companies and low trading volumes. We discuss the four stocks chosen in the portfolio and make a stock chart.

We run this model with three enhancements: 1) we add particle swarm optimization as a new solver (classical). 2) We add another stock exchange (NASDAQ Global Market (SM)). 3) We can now filter for dividend payers in the past year (and likely other 'validations' based on client demand).

All stocks analyzed (from NYSE, NYSEAmerican, NASDAQ Global Select Market (SM) and NASDAQ Global Market (SM) have paid a dividend in the past year. We start with 3,569 stocks. After validation we have 1,755 US common stocks, and all stocks have 252 trading days of data. All stocks have BETA > 0, adjusted close prices > 0, and continuous trading data for the past year. We exclude ETFs, bonds (hope we caught them all), preferred stocks, trusts, funds, and stocks that are not US common stocks.

Our CQNS model picks a portfolio with 4 stocks (effective today's market open).

D.R. Horton, Inc, $DHI
Consumer Cyclical - they make and sell houses

Kelly Services, Inc. $KELYB
Workforce and employment solutions

Silgan Holdings Inc. $SLGN, 13,200 employees
Manufacture and sell rigid consumer packaging & (industrial and chemical applications too):
Metal, closures, plastics

Wipro Limited $WIT
Indian Information Services provider with 185K employees, providing services globally.

The CQNS portfolio has equal weight to each stock (25% in each stock).

Jan 4, 2021 Stock Picks from the Chicago Quantum Net Score - quantum algorithm:
$DHI, $KELYB, $SLGN, $WIT

Our stock effects typically last 10% to 20% of the 252 trading days, or 25 to 50 trading days.

If you like what you see/hear and want to stay connected, please subscribe to our newsletter and YouTube channel.

Notice:  We are not brokers. We are not investment advisors. We are not registered with FINRA. This is not investment advice. Please do your own due diligence and research before investing. Investments in equities can and do lose money. Please be careful and only invest what you can afford to lose.

If you really like the analysis and would like your own confidential analysis, please purchase here:

Best stocks: select efficient stock portfolio(s) from up to 128 of your stocks (Chicago Quantum Net Score)

$150.00

You enter up to 128 stock tickers + 10 backup tickers. We run our analysis, select the best portfolio(s) based on our CQNS algorithm, and email you a .PDF report.

You may have other options and comment boxes to complete during checkout, and you may request report delivery in other ways.

Once you place your order, please email us your information:

Your name
Your email address(es)
Your phone (optional, in case we need to reach you)
Your US stock tickers (up to 128) and up to 10 backup tickers.
Any special requests

Please email these to jeffrey@quantum-usaci.com and research@quantum-usaci.com

Your payment confirmation comes from the payment processor.

What we do:

We run our analysis, select the best portfolio(s) based on our CQNS algorithm, and return you a .PDF report via email (or another way if you prefer). We return it within 24 hours...possibly much faster.

The report will list the stocks you provided, results of data validation, and the best portfolio(s) we find. If our solvers do not converge on one 'best' portfolio, we will provide you the top 3 portfolios they find. We provide you any insights from the run (e.g., was it easy to find a 'best' portfolio).

We wait until the trading day is over, but can use today's intraday price data if you ask.

If you provide non-US listed stocks, we will include if the data is available via Yahoo Finance.

What you should expect from the results:

This algorithm gives you the portfolio with the desired characteristics (lower risk & higher return) in the past year.

We view this as a buy and hold strategy for up to 25 days, but have seen the effects last as long as 35 days. We have also 'swing traded' these results to capture short-term volatility.

We have seen offsetting stocks in these portfolios where some rise while the others fall, but overall the portfolio rises. In a few cases, one 'high flyer' carries the portfolio. Why does this happen? If the BETA values selected are higher than market average, then the stocks may move more than the market. If the risk is lower for those stocks, and the BETA is higher, then we may see investors attracted to those stocks in the short-term.

The value proposition:

You can most likely re-create this logic and build the data analytics capability to do a similar exercise (e.g., using the Sharpe Ratio). However, it would take significant time to learn and master. Mistakes are hard to discover and the data can be tricky to download and validate. Also, this is computationally difficult. With our service, and expertise, we can help you achieve these results quickly and cost effectively.

Explanations:

Please see our webpage "Stock Market Links & FAQs" for details.

Disclosure

We think investors need to do their own due diligence on the companies and ensure they understand the risks associated with investing. Our model looks at the adjusted closing prices and the patterns between stocks held in that data.

Note: The algorithm and methods used are subject to frequent change and development. Do not rely on this service for your investment decisions, and do your due diligence. This is not investment advice. We are not investment advisors.

Thank you for your order and your business.

Shop

Best stocks: select efficient stock portfolio(s) from US stock market exchanges (Chicago Quantum Net Score)

$750.00

You select up to four US stock exchanges for us to analyze all of their common stocks. You can choose from NYSE, NYSE American, NASDAQ Global and NASDAQ Global Select exchanges (about 3,500 common stocks before data validation). There are other options and comment boxes to complete (optionally) during checkout.

Once you place your order, please email us your information:

Your name
Your email address(es)
Your phone (optional, in case we need to reach you)
Any special requests

Please email these to jeffrey@quantum-usaci.com and research@quantum-usaci.com.

Your payment confirmation comes from the payment processor.

What we do:

We run our analysis by selecting the most efficient portfolio(s) based on our Chicago Quantum Net Score (CQNS), based on the prior 1-year of adjusted close prices of all the common stocks that pass data validation. We then return you a .PDF report via email (or another way if you prefer) and return it within 24 hours...possibly much faster.

The report will list the stocks that passed data validation and were analyzed, along with the most efficient portfolio(s) we found according to our Chicago Quantum Net Score. If our solvers do not converge on one 'best' portfolio, we will provide you the top 3 portfolios found. We provide you any additional insights from the run.

We also provide a short analysis of the skewness, kurtosis and variance of the stocks that passed data validation.

We wait to pull the data until the trading day is over, which ensures you have a clean set of price data. However, we can use today's intraday price data upon request.

If you provide non-US listed stocks, we will include if the data is available via Yahoo Finance.

What you should expect from the results:

This algorithm gives you the portfolio with the desired characteristics (lower risk & higher return) in the past year. We expect those patterns to continue into the near future.

We view this as a buy and hold strategy for up to 25 days, but have seen the effects last as long as 35 days. We have also 'swing traded' these results to capture short-term volatility.

We have seen offsetting stocks in these portfolios where some rise while the others fall. We call this 'zig and zag' in the portfolio. In the model runs that we have made (not for clients) and posted on Medium, we generally see an outperformance of the benchmarks (SPY and QQQ) over the first 25 - 35 trading days. In a few portfolios, one 'high flyer' carries the portfolio.

Why does this happen? If the BETA values selected are higher than market average, then the stocks may move more than the market. If the risk is lower for those stocks, and the BETA is higher, then we may see investors attracted to those stocks in the short-term.

The value proposition:

You may be able to re-create this logic and build the data analytics capability to do a similar exercise (e.g., using the Sharpe Ratio or by reading our academic paper pre-prints). However, it will take significant time and expertise to learn and master. Mistakes are hard to discover and the data can be tricky to download and validate. With our service, and expertise, we can help you achieve these results quickly and cost effectively. We also provide excellent customer support and are patient (and passionate) in explaining the results and implications.

Explanations:

Please see our webpage "Stock Market Links & FAQs" for details.

Disclosure

We think investors need to do their own due diligence on the companies and ensure they understand the risks associated with investing. Our model looks at the adjusted closing prices and the patterns between stocks held in that data.

Note: The algorithm and methods used are subject to frequent change and development. Do not rely on this service for your investment decisions. This is not investment advice. We are not investment advisors.

Thank you for your order and your business.

Shop

If you would like to learn more, please read our latest research

Chicago Quantum Research

So, how did it do today?

We start today with some zig & zag in the portfolio: 4 stocks evenly weighted. 2 up & 2 down (but overall up). Since KELYB is low volume, we also provide the ticker KELYA.

Disclosure: We do not have a position in these 4 stocks, nor do we intend to initiate one in the next 24 hours.

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