Stem Cell Authority Stock Market Value
| SCAL Stock | USD 0.0001 0.00 0.00% |
| Symbol | Stem |
Stem Cell '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 Stem Cell's 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 Stem Cell.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in Stem Cell on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Stem Cell Authority or generate 0.0% return on investment in Stem Cell over 180 days. Stem Cell Authority, Ltd., a technology development company, focuses on the collection and cryogenic preservation of ste... More
Stem Cell 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 Stem Cell's 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 Stem Cell Authority upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 50.0 |
Stem Cell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stem Cell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stem Cell's standard deviation. In reality, there are many statistical measures that can use Stem Cell historical prices to predict the future Stem Cell's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.71) | |||
| Total Risk Alpha | (1.28) | |||
| Treynor Ratio | 0.8001 |
Stem Cell Authority Backtested Returns
Stem Cell Authority owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12 % return per unit of risk over the last 3 months. Stem Cell Authority exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Stem Cell's Coefficient Of Variation of (812.40), risk adjusted performance of (0.08), and Variance of 37.88 to confirm the risk estimate we provide. The entity has a beta of -0.96, which indicates possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Stem Cell are expected to decrease slowly. On the other hand, during market turmoil, Stem Cell is expected to outperform it slightly. At this point, Stem Cell Authority has a negative expected return of -0.78%. Please make sure to validate Stem Cell's coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and rate of daily change , to decide if Stem Cell Authority performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Stem Cell Authority has no correlation between past and present. Overlapping area represents the amount of predictability between Stem Cell time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th 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 Stem Cell Authority price movement. The serial correlation of 0.0 indicates that just 0.0% of current Stem Cell price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Stem Cell Authority lagged returns against current returns
Autocorrelation, which is Stem Cell 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 Stem Cell's pink sheet expected returns. We can calculate the autocorrelation of Stem Cell returns to help us make a trade decision. For example, suppose you find that Stem Cell 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 |
Stem Cell 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 Stem Cell pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stem Cell pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stem Cell pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Stem Cell Lagged Returns
When evaluating Stem Cell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stem Cell pink sheet have on its future price. Stem Cell 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, Stem Cell autocorrelation shows the relationship between Stem Cell pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Stem Cell Authority.
Regressed Prices |
| Timeline |
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Try AI Portfolio ProphetOther Information on Investing in Stem Pink Sheet
Stem Cell financial ratios help investors to determine whether Stem 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 Stem with respect to the benefits of owning Stem Cell security.