Cuisine Solutions Stock Market Value
| CUSI Stock | USD 18.51 0.01 0.05% |
| Symbol | Cuisine |
Cuisine Solutions 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Cuisine Solutions' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Cuisine Solutions.
| 11/27/2025 |
| 12/27/2025 |
If you would invest 0.00 in Cuisine Solutions on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Cuisine Solutions or generate 0.0% return on investment in Cuisine Solutions over 30 days. Cuisine Solutions is related to or competes with Armanino Foods, High Liner, Aryzta AG, South Dakota, Oisix Ra, and Sanford. Cuisine Solutions, Inc. produces and markets various food products in the United States More
Cuisine Solutions Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Cuisine Solutions' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Cuisine Solutions upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.004 | |||
| Maximum Drawdown | 40.02 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.0554 |
Cuisine Solutions Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cuisine Solutions' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cuisine Solutions' standard deviation. In reality, there are many statistical measures that can use Cuisine Solutions historical prices to predict the future Cuisine Solutions' volatility.| Risk Adjusted Performance | 0.0277 | |||
| Jensen Alpha | 0.1545 | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.10) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cuisine Solutions' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Cuisine Solutions Backtested Returns
Cuisine Solutions is not too volatile at the moment. Cuisine Solutions secures Sharpe Ratio (or Efficiency) of 0.0284, which signifies that the company had a 0.0284 % return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Cuisine Solutions, which you can use to evaluate the volatility of the firm. Please confirm Cuisine Solutions' Risk Adjusted Performance of 0.0277, standard deviation of 3.55, and Mean Deviation of 0.7607 to double-check if the risk estimate we provide is consistent with the expected return of 0.1%. Cuisine Solutions has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.86, which signifies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Cuisine Solutions are expected to decrease slowly. On the other hand, during market turmoil, Cuisine Solutions is expected to outperform it slightly. Cuisine Solutions right now shows a risk of 3.63%. Please confirm Cuisine Solutions total risk alpha, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Cuisine Solutions will be following its price patterns.
Auto-correlation | -0.26 |
Weak reverse predictability
Cuisine Solutions has weak reverse predictability. Overlapping area represents the amount of predictability between Cuisine Solutions time series from 27th of November 2025 to 12th of December 2025 and 12th of December 2025 to 27th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cuisine Solutions price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Cuisine Solutions price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Cuisine Solutions lagged returns against current returns
Autocorrelation, which is Cuisine Solutions pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Cuisine Solutions' pink sheet expected returns. We can calculate the autocorrelation of Cuisine Solutions returns to help us make a trade decision. For example, suppose you find that Cuisine Solutions has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Cuisine Solutions regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Cuisine Solutions pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cuisine Solutions pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cuisine Solutions pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Cuisine Solutions Lagged Returns
When evaluating Cuisine Solutions' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cuisine Solutions pink sheet have on its future price. Cuisine Solutions autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Cuisine Solutions autocorrelation shows the relationship between Cuisine Solutions pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Cuisine Solutions.
Regressed Prices |
| Timeline |
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Other Information on Investing in Cuisine Pink Sheet
Cuisine Solutions financial ratios help investors to determine whether Cuisine Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cuisine with respect to the benefits of owning Cuisine Solutions security.