Wireless Data Solutions Stock Technical Analysis
| SSHT Stock | USD 0.01 0 51.52% |
As of the 9th of February, Wireless Data maintains the Mean Deviation of 17.02, standard deviation of 28.09, and Market Risk Adjusted Performance of (0.26). Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Wireless Data Solutions, as well as the relationship between them.
Wireless Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Wireless, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WirelessWireless |
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.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Wireless Data on November 11, 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 90 days. Wireless Data is related to or competes with Arogo Capital, MDwerks, Caro Holdings, XCana Petroleum, Arvana, Luminar Media, and VWF Bancorp. 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.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 169.8 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 51.52 |
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 | (0.05) | |||
| Jensen Alpha | (2.55) | |||
| Total Risk Alpha | (4.75) | |||
| Treynor Ratio | (0.27) |
Wireless Data February 9, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.05) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 17.02 | |||
| Coefficient Of Variation | (1,431) | |||
| Standard Deviation | 28.09 | |||
| Variance | 789.22 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (2.55) | |||
| Total Risk Alpha | (4.75) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 169.8 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 51.52 | |||
| Skewness | 1.1 | |||
| Kurtosis | 5.38 |
Wireless Data Solutions Backtested Returns
Wireless Data Solutions shows Sharpe Ratio of -0.0699, which attests that the company had a -0.0699 % return per unit of risk over the last 3 months. Wireless Data Solutions exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Wireless Data's Market Risk Adjusted Performance of (0.26), standard deviation of 28.09, and Mean Deviation of 17.02 to validate the risk estimate we provide. The firm maintains a market beta of 7.23, 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. At this point, Wireless Data Solutions has a negative expected return of -1.59%. Please make sure to check out Wireless Data's maximum drawdown, daily balance of power, as well as the relationship between the Daily Balance Of Power and period momentum indicator , to decide if Wireless Data Solutions performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.27 |
Poor predictability
Wireless Data Solutions has poor predictability. Overlapping area represents the amount of predictability between Wireless Data time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 2026. 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 0.27 indicates that nearly 27.0% of current Wireless Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Wireless Data technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
Wireless Data Solutions Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Wireless Data Solutions volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Wireless Data Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Wireless Data Solutions on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Wireless Data Solutions based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Wireless Data Solutions price pattern first instead of the macroeconomic environment surrounding Wireless Data Solutions. By analyzing Wireless Data's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Wireless Data's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Wireless Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
Wireless Data February 9, 2026 Technical Indicators
Most technical analysis of Wireless help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Wireless from various momentum indicators to cycle indicators. When you analyze Wireless charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.05) | |||
| Market Risk Adjusted Performance | (0.26) | |||
| Mean Deviation | 17.02 | |||
| Coefficient Of Variation | (1,431) | |||
| Standard Deviation | 28.09 | |||
| Variance | 789.22 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (2.55) | |||
| Total Risk Alpha | (4.75) | |||
| Treynor Ratio | (0.27) | |||
| Maximum Drawdown | 169.8 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 51.52 | |||
| Skewness | 1.1 | |||
| Kurtosis | 5.38 |
Wireless Data February 9, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Wireless stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.05 | ||
| Daily Balance Of Power | 6.80 | ||
| Rate Of Daily Change | 1.52 | ||
| Day Median Price | 0.01 | ||
| Day Typical Price | 0.01 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.0005 |
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.