Stock Portfolio Analysis Services
Buy a one-time quantitative analysis or we will manage your funds.
Stock Analysis Consultation
$50.00
Jeffrey Cohen will meet with you (in his office or via video/phone call) to discuss your purchased Chicago Quantum Net Score stock analysis. We will discuss anything you want relating to your analysis.
Typical topics:
- What do you know about those stocks?
- How did you calculate something?
- Are these the same stocks that were picked a few weeks ago?
- What is kurtosis and skewness again and why should I care?
- Look at the trading action on those stocks...
- What do you know about their fundamental valuation? Do they have earnings? How is their debt and can they pay it?
- How would you hedge this?
- What about dividend-paying stocks? How are those handled?
- Tell me about the ETFs you are using to compare to stocks? Why does that one ETF keep making the "long" portfolio?
Each scheduled conversation is a separate service and consultation, and we schedule our conversations for an hour. Some go much longer, and we understand that.
You can schedule these calls in advance or text/call for an immediate discussion.
A typical, repeat client spends 1-2 hours a week on the phone to build rapport, trust, and a common understanding of the findings of the model, key stocks which repeatedly score "UP" or "DOWN", changes in relative rankings, market rotation, and potential actions.
Over time, we may jointly analyze a few stocks in detail and discuss their current and future financial position, social media positioning, and prospects.
After payment, please text Jeffrey Cohen at +1.312.515.7333 or email at jeffrey@quantum-usaci.com to schedule your consultation.
You may also prearrange to be invoiced for all services monthly or quarterly.
Comprehensive US stock market analysis (UP or LONG)
$100.00
A comprehensive, quantitative analysis of the US stock market to find the optimal long portfolios.
It is performed after market close based on a year of historical data. It checks ~10,000 US tickers that trade, finds those that pass data validation (~3,000), then searches through centillions of portfolio combinations (~10^1000) to find the optimal US-listed common stock portfolio to buy and hold.
It takes us a few hours to run the analysis on our powerful in-house server using our proprietary software platform and code, accessing a full set of premium, market data services from Intrinio with every run.
Finally, we then spend a few minutes reviewing the results and pulling them together into an email or data drop for you.
The optimal US-listed common stock portfolio is one the largest difference between expected returns and historical risk. It should perform better than a passive US equity index fund such as the famous 500, technology 100 or small cap 2000.
We invented the Chicago Quantum Net Score and wrote the code to determine the best way to do this. We released the ideas into the public domain before COVID via three arXiv articles and have been cited numerous times in other academic works. The logic still holds.
We don't like the idea of giving a potential investor only one option as it could cause crowding into a specific portfolio. Therefore, we give clients the top 25 portfolios in order of their Chicago Quantum Net Score. We also provide a spreadsheet with summary statistics for all stocks that passed data validation.
We also provide other interesting statistics about the stocks we analyzed that are produced by our model (see list).
How does this work for investors?
The optimal portfolio, if things continue as they were, is expected to outperform the US equity market by having lower price volatility and higher expected returns. That should result in a portfolio that rises quickly and steadily when markets advance.
This portfolio can be hedged to protect against downside market risk. We did that when we ran our portfolio simulation for our separately managed accounts. We hedged the optimal long portfolio with the optimal short portfolio since that made the most logical sense to us.
If you become a repeat client, you can ask us to customize things.
What you receive:
A set of 25 optimized stock portfolios that are the most efficient, and have the best risk-return trade-off, along with their portfolio CQNS score. This allows our clients to tailor their holdings with known impacts to their mathematical advantage over a passive US equity index.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
For each stock that passed data validation, over the past 253 trading days:
For stocks that beat a threshold value over the past 253 trading days:
Timing:
Once we see that you purchased the service, we initiate the analysis after 7pm ET to ensure complete trading day information.
We email, upload or file transfer to you the model output in a text file with a spreadsheet (.CSV) before the next market open, and sometimes before midnight ET.
What you do:
You provide us with the following information as you place your order:
You may also call or email us with your information.
For repeat orders, you may request an invoice. We accept payment via check, ACH, or through an online payment processor (secure).
We will not sell or share your information unless legally required.
Thank you for your order and your business.
It is performed after market close based on a year of historical data. It checks ~10,000 US tickers that trade, finds those that pass data validation (~3,000), then searches through centillions of portfolio combinations (~10^1000) to find the optimal US-listed common stock portfolio to buy and hold.
It takes us a few hours to run the analysis on our powerful in-house server using our proprietary software platform and code, accessing a full set of premium, market data services from Intrinio with every run.
Finally, we then spend a few minutes reviewing the results and pulling them together into an email or data drop for you.
The optimal US-listed common stock portfolio is one the largest difference between expected returns and historical risk. It should perform better than a passive US equity index fund such as the famous 500, technology 100 or small cap 2000.
We invented the Chicago Quantum Net Score and wrote the code to determine the best way to do this. We released the ideas into the public domain before COVID via three arXiv articles and have been cited numerous times in other academic works. The logic still holds.
We don't like the idea of giving a potential investor only one option as it could cause crowding into a specific portfolio. Therefore, we give clients the top 25 portfolios in order of their Chicago Quantum Net Score. We also provide a spreadsheet with summary statistics for all stocks that passed data validation.
We also provide other interesting statistics about the stocks we analyzed that are produced by our model (see list).
How does this work for investors?
The optimal portfolio, if things continue as they were, is expected to outperform the US equity market by having lower price volatility and higher expected returns. That should result in a portfolio that rises quickly and steadily when markets advance.
This portfolio can be hedged to protect against downside market risk. We did that when we ran our portfolio simulation for our separately managed accounts. We hedged the optimal long portfolio with the optimal short portfolio since that made the most logical sense to us.
If you become a repeat client, you can ask us to customize things.
What you receive:
A set of 25 optimized stock portfolios that are the most efficient, and have the best risk-return trade-off, along with their portfolio CQNS score. This allows our clients to tailor their holdings with known impacts to their mathematical advantage over a passive US equity index.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
For each stock that passed data validation, over the past 253 trading days:
- CQNS score for each stock
- Volume for each stock (% prior year average)
- Price Change (% prior year average)
- BETA (vs. SPY)
- Dividends paid (% prior year average price)
- Expected returns (% for next year)
- Equity market capitalization ($)
- Stock variance for each stock, normalized to allow comparison.
For stocks that beat a threshold value over the past 253 trading days:
- Non-normal distributions in fourth-order price distribution (kurtosis) and low daily price variance
- Non-normal distributions in the third-order price distribution (skewness)
- Stocks with negative, high, or low BETA values (BETA vs. SPY).
- Stocks with large price changes (% of average)
- Stocks with volume spikes (# of days volume)
Timing:
Once we see that you purchased the service, we initiate the analysis after 7pm ET to ensure complete trading day information.
We email, upload or file transfer to you the model output in a text file with a spreadsheet (.CSV) before the next market open, and sometimes before midnight ET.
What you do:
You provide us with the following information as you place your order:
- Your name, physical address, email address & phone number
- Any special requests, instructions, or actionable objectives
- How you would like to receive your report and spreadsheet (if not by email). We use Google Drive, Slack, Microsoft Teams/Office, and other collaboration technologies.
You may also call or email us with your information.
- Email: jeffrey@quantum-usaci.com
- Cell: +1.312.515.7333
For repeat orders, you may request an invoice. We accept payment via check, ACH, or through an online payment processor (secure).
We will not sell or share your information unless legally required.
Thank you for your order and your business.
Comprehensive US stock market analysis (DOWN or SHORT)
$100.00
This service is a comprehensive analysis of the US stock market to find a portfolio of stocks to short or avoid in your portfolio. It is performed after market close. It checks ~10,000 US tickers that trade, finds those that pass data validation (~3,000), then it searches through centillions of portfolio combinations (~10^1000) to find the optimal US-listed common stock portfolio to avoid, or short.
It takes us a few hours to run the analysis on our powerful in-house server using our proprietary software platform and code, accessing a full set of premium, market data services from Intrinio with every run.
Finally, we then spend a few minutes reviewing the results and pulling them together into an email or data drop for you.
The optimal "DOWN or SHORT" US-listed common stock portfolio is one with the largest net historical risk less expected future return. It should perform worse than a passive US equity index fund such as the famous 500, technology 100 or small cap 2000.
We invented the Chicago Quantum Net Score and wrote the code to determine the best way to do this. We released the ideas into the public domain before COVID via three arXiv articles and have been cited numerous times in other academic works. The logic still holds.
We don't like the idea of giving a potential investor only one option as it could cause crowding into a specific portfolio. Therefore, we give clients the top 25 portfolios in order of their Chicago Quantum Net Score. We also provide a spreadsheet with summary statistics for all stocks that passed data validation.
We also provide other interesting statistics about the stocks we analyzed that are produced by our model (see list).
How does this work for investors?
The optimal "DOWN" portfolio, if things continue as they were, is expected to underperform the US equity market by having higher price volatility and lower expected returns. That should result in a portfolio that moves erratically but does not advance quickly and steadily when markets advance.
What we found anecdotally is that these stocks are often MEME stocks or move very quickly without a true sense of direction. They are very risky stocks to hold, and tend to fall in price.
This portfolio can be used as a hedge for long US stock portfolios to protect against downside market risk. We did that when we ran our portfolio simulation for our separately managed accounts. We hedged the optimal long portfolio with the optimal short portfolio since that made the most logical sense to us.
By way of a proof point, we have run A/B analysis of profitable and unprofitable stocks, and unprofitable stocks tend to have far higher price volatility. With supporting fundamental analysis, you can select short stocks with significantly negative net income, negative book value, and debt to really drive poor stock performance.
If you become a repeat client, you can ask us to customize things.
What you receive:
A set of 25 optimized stock portfolios that are the most inefficient, and have the worst risk-return trade-off, along with their portfolio CQNS score. This allows our clients to tailor their holdings with known impacts to their mathematical advantage over a passive US equity index.
These tend to be very small portfolios of one to three stocks, because diversification improves them too much. When we used this analysis for our separate managed accounts simulation, we only had three short stocks at a time. A client can pick a few short names from the ordered list of stocks and usually back up the quantitative analysis with supporting fundamental analysis.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
For each stock that passed data validation, over the past 253 trading days:
For stocks that beat a threshold value over the past 253 trading days:
Timing:
Once we see that you purchased the service, we initiate the analysis after 7pm ET to ensure complete trading day information.
We email, upload or file transfer to you the model output in a text file with a spreadsheet (.CSV) before the next market open, and sometimes before midnight ET.
What you do:
You provide us with the following information as you place your order:
You may also call or email us with your information.
For repeat orders, you may request an invoice. We accept payment via check, ACH, or through an online payment processor (secure).
We will not sell or share your information unless legally required.
Thank you for your order and your business.
It takes us a few hours to run the analysis on our powerful in-house server using our proprietary software platform and code, accessing a full set of premium, market data services from Intrinio with every run.
Finally, we then spend a few minutes reviewing the results and pulling them together into an email or data drop for you.
The optimal "DOWN or SHORT" US-listed common stock portfolio is one with the largest net historical risk less expected future return. It should perform worse than a passive US equity index fund such as the famous 500, technology 100 or small cap 2000.
We invented the Chicago Quantum Net Score and wrote the code to determine the best way to do this. We released the ideas into the public domain before COVID via three arXiv articles and have been cited numerous times in other academic works. The logic still holds.
We don't like the idea of giving a potential investor only one option as it could cause crowding into a specific portfolio. Therefore, we give clients the top 25 portfolios in order of their Chicago Quantum Net Score. We also provide a spreadsheet with summary statistics for all stocks that passed data validation.
We also provide other interesting statistics about the stocks we analyzed that are produced by our model (see list).
How does this work for investors?
The optimal "DOWN" portfolio, if things continue as they were, is expected to underperform the US equity market by having higher price volatility and lower expected returns. That should result in a portfolio that moves erratically but does not advance quickly and steadily when markets advance.
What we found anecdotally is that these stocks are often MEME stocks or move very quickly without a true sense of direction. They are very risky stocks to hold, and tend to fall in price.
This portfolio can be used as a hedge for long US stock portfolios to protect against downside market risk. We did that when we ran our portfolio simulation for our separately managed accounts. We hedged the optimal long portfolio with the optimal short portfolio since that made the most logical sense to us.
By way of a proof point, we have run A/B analysis of profitable and unprofitable stocks, and unprofitable stocks tend to have far higher price volatility. With supporting fundamental analysis, you can select short stocks with significantly negative net income, negative book value, and debt to really drive poor stock performance.
If you become a repeat client, you can ask us to customize things.
What you receive:
A set of 25 optimized stock portfolios that are the most inefficient, and have the worst risk-return trade-off, along with their portfolio CQNS score. This allows our clients to tailor their holdings with known impacts to their mathematical advantage over a passive US equity index.
These tend to be very small portfolios of one to three stocks, because diversification improves them too much. When we used this analysis for our separate managed accounts simulation, we only had three short stocks at a time. A client can pick a few short names from the ordered list of stocks and usually back up the quantitative analysis with supporting fundamental analysis.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
For each stock that passed data validation, over the past 253 trading days:
- CQNS score for each stock
- Volume for each stock (% prior year average)
- Price Change (% prior year average)
- BETA (vs. SPY)
- Dividends paid (% prior year average price)
- Expected returns (% for next year)
- Equity market capitalization ($)
- Stock variance for each stock, normalized to allow comparison.
For stocks that beat a threshold value over the past 253 trading days:
- Non-normal distributions in fourth-order price distribution (kurtosis) and low daily price variance
- Non-normal distributions in the third-order price distribution (skewness)
- Stocks with negative, high, or low BETA values (BETA vs. SPY).
- Stocks with large price changes (% of average)
- Stocks with volume spikes (# of days volume)
Timing:
Once we see that you purchased the service, we initiate the analysis after 7pm ET to ensure complete trading day information.
We email, upload or file transfer to you the model output in a text file with a spreadsheet (.CSV) before the next market open, and sometimes before midnight ET.
What you do:
You provide us with the following information as you place your order:
- Your name, physical address, email address & phone number
- Any special requests, instructions, or actionable objectives
- How you would like to receive your report and spreadsheet (if not by email). We use Google Drive, Slack, Microsoft Teams/Office, and other collaboration technologies.
You may also call or email us with your information.
- Email: jeffrey@quantum-usaci.com
- Cell: +1.312.515.7333
For repeat orders, you may request an invoice. We accept payment via check, ACH, or through an online payment processor (secure).
We will not sell or share your information unless legally required.
Thank you for your order and your business.
Custom Development
$5,000.00
We will code for a week on your behalf.
We will identify, describe, document and code your algorithm ideas into algorithms that run on our platform (python on Windows).
This service includes one full week of custom development effort, and is defined as a continuous 5 day period (e.g., Monday - Friday).
We work in Python in Jupyter Notebooks. We code our proprietary solvers into the notebooks along with code to run the D-Wave Systems quantum annealing computers. You may want to software engineer the code afterwards to harden and speed up the models.
We will apply our skills, experience, and knowledge of the D-Wave Systems quantum annealing computers as well as with coding and running classical solvers. We apply our domain expertise in financial services and equities.
We will work with your team as requested (independently or collaboratively). We can provide training and mentorship as requested.
We will leverage your expertise in coding these if/when we work together with your development or trading teams. We are happy to work with you in your facility (safely due to Covid 19), work on video, or work remotely against your specifications.
You receive and own the code and documentation that we built upon payment for the time you have purchased. If you pay in advance, you may request access to the code and documentation at any time.
You will need to license any third-party libraries, modules, functions or SDKs we utilize. If you choose to use our professional market data services provider, Intrinio, you will need to acquire a license for that data (optionally through us).
We would like to run and maintain the code we develop for you and provide management reports (for a fee) at your option.
We will invoice our time and bill any expenses as incurred, or you may pay for our time in advance through this website.
We will identify, describe, document and code your algorithm ideas into algorithms that run on our platform (python on Windows).
This service includes one full week of custom development effort, and is defined as a continuous 5 day period (e.g., Monday - Friday).
We work in Python in Jupyter Notebooks. We code our proprietary solvers into the notebooks along with code to run the D-Wave Systems quantum annealing computers. You may want to software engineer the code afterwards to harden and speed up the models.
We will apply our skills, experience, and knowledge of the D-Wave Systems quantum annealing computers as well as with coding and running classical solvers. We apply our domain expertise in financial services and equities.
We will work with your team as requested (independently or collaboratively). We can provide training and mentorship as requested.
We will leverage your expertise in coding these if/when we work together with your development or trading teams. We are happy to work with you in your facility (safely due to Covid 19), work on video, or work remotely against your specifications.
You receive and own the code and documentation that we built upon payment for the time you have purchased. If you pay in advance, you may request access to the code and documentation at any time.
You will need to license any third-party libraries, modules, functions or SDKs we utilize. If you choose to use our professional market data services provider, Intrinio, you will need to acquire a license for that data (optionally through us).
We would like to run and maintain the code we develop for you and provide management reports (for a fee) at your option.
We will invoice our time and bill any expenses as incurred, or you may pay for our time in advance through this website.
Monthly membership
$100.00
Gain insider access to our research and analysis.
Members receive these deliverables:
Pre-market alerts: We may send pre-market alerts on top picks or key findings from our Chicago Quantum Net Score model. We may alert shifts in market conditions, such as changes in volatility, model positioning as strongly RISK-ON, RISK-OFF (or if it changes significantly). This is all before US equity markets open.
Thank you. Your membership helps to support our business. We will bill your payment method monthly.
Members receive these deliverables:
- Access to our stock market and macroeconomic analysis videos (new recordings each week).
- Access to our written BLOG posts and Medium articles (we will alert if time-sensitive, else a weekly write-up).
- Access to key social media posts.
- One 30-minute phone call each month to discuss your topic of interest.
- Monthly newsletter via email.
Pre-market alerts: We may send pre-market alerts on top picks or key findings from our Chicago Quantum Net Score model. We may alert shifts in market conditions, such as changes in volatility, model positioning as strongly RISK-ON, RISK-OFF (or if it changes significantly). This is all before US equity markets open.
Thank you. Your membership helps to support our business. We will bill your payment method monthly.