Wireless Data Solutions Stock Market Value
| SSHT Stock | USD 0.03 0 8.53% |
| Symbol | Wireless |
Wireless Data '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 Wireless Data'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 Wireless Data.
| 11/27/2025 |
| 12/27/2025 |
If you would invest 0.00 in Wireless Data on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Wireless Data Solutions or generate 0.0% return on investment in Wireless Data over 30 days. SSHT ST Group Ltd. develops and markets digital mobile data terminals and associated software for vehicle management More
Wireless Data 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 Wireless Data'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 Wireless Data Solutions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 27.44 | |||
| Information Ratio | 0.1433 | |||
| Maximum Drawdown | 488.8 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 78.95 |
Wireless Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wireless Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wireless Data's standard deviation. In reality, there are many statistical measures that can use Wireless Data historical prices to predict the future Wireless Data's volatility.| Risk Adjusted Performance | 0.1114 | |||
| Jensen Alpha | 8.24 | |||
| Total Risk Alpha | 2.25 | |||
| Sortino Ratio | 0.3149 | |||
| Treynor Ratio | 1.39 |
Wireless Data Solutions Backtested Returns
Wireless Data is out of control given 3 months investment horizon. Wireless Data Solutions shows Sharpe Ratio of 0.0761, which attests that the company had a 0.0761 % return per unit of risk over the last 3 months. We have analyze and collected data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 2.72% are justified by taking the suggested risk. Use Wireless Data Solutions Market Risk Adjusted Performance of 1.4, mean deviation of 28.54, and Downside Deviation of 27.44 to evaluate company specific risk that cannot be diversified away. Wireless Data holds a performance score of 6 on a scale of zero to a hundred. The firm maintains a market beta of 6.28, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Wireless Data will likely underperform. Use Wireless Data Solutions total risk alpha, downside variance, as well as the relationship between the Downside Variance and rate of daily change , to analyze future returns on Wireless Data Solutions.
Auto-correlation | 0.51 |
Modest predictability
Wireless Data Solutions has modest predictability. Overlapping area represents the amount of predictability between Wireless Data 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 Wireless Data Solutions price movement. The serial correlation of 0.51 indicates that about 51.0% of current Wireless Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Wireless Data Solutions lagged returns against current returns
Autocorrelation, which is Wireless Data 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 Wireless Data's pink sheet expected returns. We can calculate the autocorrelation of Wireless Data returns to help us make a trade decision. For example, suppose you find that Wireless Data 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 |
Wireless Data 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 Wireless Data pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wireless Data pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wireless Data pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Wireless Data Lagged Returns
When evaluating Wireless Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wireless Data pink sheet have on its future price. Wireless Data 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, Wireless Data autocorrelation shows the relationship between Wireless Data pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Wireless Data Solutions.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Wireless Pink Sheet Analysis
When running Wireless Data's price analysis, check to measure Wireless Data's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Wireless Data is operating at the current time. Most of Wireless Data's value examination focuses on studying past and present price action to predict the probability of Wireless Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wireless Data's price. Additionally, you may evaluate how the addition of Wireless Data to your portfolios can decrease your overall portfolio volatility.