Stock analysis (down run, your tickers)
Do you want to find the 'worst' or most inefficient stocks in your list? You enter up to 100 stock tickers and up to 10 backup tickers. We run our analysis, select the worst 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 100) and up to 10 backup tickers.
- Any special requests
Please email these to email@example.com and firstname.lastname@example.org
Your payment confirmation comes from the payment processor.
What we do:
We run our analysis, select the worst 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 worst portfolio(s) we find. If our solvers do not converge on one 'worst' portfolio, we will provide you the bottom 3 portfolios they find. We provide you any insights from the run (e.g., was it easy to find a 'worst' 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 least amount of desired characteristics (lower risk & higher return) in the past year. In fact, it gives the highest risk and lowest expected return combination.
We view this as a short or put option strategy for up to 25 days. This is a new capability, and it seems to work for the first week of the call. We are not sure how long the effects will last, since stocks tend to take the stairs when they rise, but take the elevator when they fall. In our first client case, the three stocks picked reacted significantly in the first 3 days. This could be a 'swing traded' to capture short-term volatility.
The model, as designed now, tends to pick one or two stocks. There is no benefit to diversification, this analysis picks the 'dogstars' and the worst performers we can find using a revision of the Chicago Quantum Net Score. The larger portfolios do not score as badly, as diversification helps with high risk, low expected return positions.
If the BETA values selected are higher than market average, then the stocks may move more quickly than the market. If the risk is higher for those stocks, and the BETA is higher, then we may see investors selling those stocks in the short-term.
The value proposition:
You can ask us to provide you a service that is based on extensive model building, market research, computational intensity and creativity, and now, trading experience. It is independent of feelings and emotions and is based on market data and a unique quantum algorithm.
This is a proprietary algorithm adjustment (we published the algorithm to select allstar, efficient portfolios). However, you can experiment to 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.
Please see our webpage "Stock Market Links & FAQs" for details on the financial markets and the computational solvers we use.
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.