Consulting Firm & Registered Investment Adviser |
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- Registered Investment Advisor in Illinois (CRD# 316375)
- Founding member of the Quantum Economic Development Consortium (QED-C)
Selection of Services
CQNS UP or LONG analysis
Are you looking to find efficient stocks portfolios to hold that have lower historical price volatility and higher expected returns than other stocks or portfolios?
CQNS UP is a quantitative analysis of US listed stocks that an investor might like to hold, or take a long position, while hedging downside risk. It is based on the CQNS UP algorithm and the analysis finds portfolios with a better CQNS score than holding any individual stock. It finds many portfolio options, with a range of portfolio sizes, and we provide those options to clients to choose from.
These are expected to outperform the US equity market by having lower prior price volatility and higher expected returns than other stocks or portfolios.
These stock portfolios are not only efficient, but they contain stocks of US companies that are profitable (net income > 0).
What you receive:
A set of optimized stock portfolios that are the most efficient, and have the best risk-return trade-off. We typically provide the top 25 of these portfolios, along with their portfolio CQNS score. This allows our clients to tailor their holdings with known impacts to their mathematical advantage.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
- Key data validation parameters
- Overall stock market returns over the past year for SPY, QQQ and IWM ETFs, our riskfree rate, and the expected return from risk assets.
For each stock that passed data validation, over the past 253 trading days:
- Stock variance for each stock, normalized to allow comparison.
- CQNS score for each stock
- Volume for each stock (% average)
- Price Change (% average)
- BETA (versus index ETF used)
- Stocks that meet a threshold for non-normal distributions in fourth-order price distribution (kurtosis) with low or high daily price variance
- Stocks that meet a threshold for non-normal distributions in the third-order price distribution (skewness)
- Dividends paid (% average price)
- Variance of daily closing stock price (value, normalized)
- Expected returns (%)
- Stocks with negative, high, or low BETA values (BETA value).
- Stocks with stock price change (% of average)
- Stocks with volume spikes (# of days volume)
- Stocks that split (split ratio)
- Market capitalization ($)*
- Cash Flow From Operations ($)*
- Long Term Debt ($)*
- Net Income ($)*
- Common Equity ($)*
- Accumulated Other Comprehensive Income (AOCI) ($)*
* If data provided by Intrinio, only provided for CQNS UP run service.
Timing:
We initiate the analysis after 7pm ET to ensure complete trading day information.
We email to you (or upload in a pre-agreed way e.g., Google Drive) a management report along with a spreadsheet (.CSV) before the next market open, and often 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.
One week of custom portfolio algorithm development & coding (quantum & classical)
One week 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.
CQNS DOWN or SHORT analysis
Are you looking to find stocks or portfolios to avoid holding or to short / bet against?
Do you want to identify inefficient stocks that have more historical price risk than expected return than other stocks?
CQNS DOWN is a quantitative analysis of US listed stocks that an investor might like to avoid or short, while also hedging upside risk. These are inefficient portfolios of stocks of money-losing companies with significantly poor CQNS scores. These have significantly more risk than expected return, and are based on our CQNS DOWN algorithm. Inefficient portfolios are often one or a few stocks, as diversification removed the exceptional level of risk in these stocks.
These stocks are not just inefficient. The companies behind these stocks have negative net income. Currently, stocks of companies with negative net income have 3.5x the price risk as investing in the S&P 500 ETF.
What you receive:
A set of optimized stock portfolios that are the most inefficient, and have the worst risk-return trade-off. We typically provide the top 25 of these portfolios, along with their portfolio CQNS score.
In addition to finding and providing a set of optimized stock portfolios by CQNS score, we provide additional analytical deliverables, as follows:
- Key data validation parameters
- Overall stock market returns over the past year for SPY, QQQ and IWM ETFs, our riskfree rate, and the expected return from risk assets.
For each stock that passed data validation, over the past 253 trading days:
- Stock variance for each stock, normalized to allow comparison.
- CQNS score for each stock
- Volume for each stock (% average)
- Price Change (% average)
- BETA (versus index ETF used)
- Stocks that meet a threshold for non-normal distributions in fourth-order price distribution (kurtosis) with low or high daily price variance
- Stocks that meet a threshold for non-normal distributions in the third-order price distribution (skewness)
- Dividends paid (% average price)
- Variance of daily closing stock price (value, normalized)
- Expected returns (%)
- Stocks with negative, high, or low BETA values (BETA value).
- Stocks with stock price change (% of average)
- Stocks with volume spikes (# of days volume)
- Stocks that split (split ratio)
Timing:
We initiate the analysis after 7pm ET to ensure complete trading day information.
We email to you (or upload in a pre-agreed way e.g., Google Drive) a management report along with a spreadsheet (.CSV) before the next market open, and often 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.
Investment Planning Workshop
This service consists of multiple preparation calls and meetings, a workshop (in-person) where we build a firm understanding of our client's financial situation and objectives, discuss topics and answer questions they may have.
We also run a pair of 'Chicago Quantum Net Score' runs (both UP and DOWN) for the client in advance of the workshop and walk through the insights and findings. This is a $1,500 value.
By the end of the workshop, and through the development of the investment plan, we have built a better understanding of the client's situation and found stock portfolios that may be attractive (either long or short). The client benefits from understanding then current information and analysis our firm has performed on the financial markets and increases their financial literacy.
We may also suggest the client watch a few of our YouTube videos and we can discuss the data sources and analyses we perform daily on overall financial markets.
The workshop portion of the service is intended to be delivered onsite with the client. It can also be spread over two days to accommodate schedules.
This includes up to 15 hours of effort from our Investment Advisor Representative.
