Wireless Data Solutions Stock Market Value

SSHT Stock  USD 0.03  0  8.53%   
Wireless Data's market value is the price at which a share of Wireless Data trades on a public exchange. It measures the collective expectations of Wireless Data Solutions investors about its performance. Wireless Data is selling for under 0.028 as of the 28th of December 2025; that is 8.53 percent increase since the beginning of the trading day. The stock's last reported lowest price was 0.028.
With this module, you can estimate the performance of a buy and hold strategy of Wireless Data Solutions and determine expected loss or profit from investing in Wireless Data over a given investment horizon. Check out Wireless Data Correlation, Wireless Data Volatility and Wireless Data Alpha and Beta module to complement your research on Wireless Data.
Symbol

Please note, there is a significant difference between Wireless Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Wireless Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Wireless Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
11/28/2025
No Change 0.00  0.0 
In 30 days
12/28/2025
0.00
If you would invest  0.00  in Wireless Data on November 28, 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.

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.
Hype
Prediction
LowEstimatedHigh
0.000.0335.77
Details
Intrinsic
Valuation
LowRealHigh
0.020.3436.08
Details
Naive
Forecast
LowNextHigh
0.0010.0535.79
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
-0.580.190.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Wireless Data. Your research has to be compared to or analyzed against Wireless Data's peers to derive any actionable benefits. When done correctly, Wireless Data's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Wireless Data Solutions.

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 Mean Deviation of 28.54, downside deviation of 27.44, and Market Risk Adjusted Performance of 1.4 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

    
  0.59  

Modest predictability

Wireless Data Solutions has modest predictability. Overlapping area represents the amount of predictability between Wireless Data time series from 28th of November 2025 to 13th of December 2025 and 13th of December 2025 to 28th 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 0.59 indicates that roughly 59.0% of current Wireless Data price fluctuation can be explain by its past prices.
Correlation Coefficient0.59
Spearman Rank Test0.58
Residual Average0.0
Price Variance0.0

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

Explore Investment 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.