Protext Mobility Stock Market Value
| TXTM Stock | USD 0 0.0001 2.17% |
| Symbol | Protext |
Protext Mobility '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 Protext Mobility'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 Protext Mobility.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in Protext Mobility on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Protext Mobility or generate 0.0% return on investment in Protext Mobility over 90 days. ProText Mobility, Inc., a biotech company, engages in the development of pharmaceutical botanical medicines More
Protext Mobility 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 Protext Mobility'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 Protext Mobility upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.31 | |||
| Information Ratio | 0.1356 | |||
| Maximum Drawdown | 406.86 | |||
| Value At Risk | (14.29) | |||
| Potential Upside | 18.42 |
Protext Mobility Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Protext Mobility's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Protext Mobility's standard deviation. In reality, there are many statistical measures that can use Protext Mobility historical prices to predict the future Protext Mobility's volatility.| Risk Adjusted Performance | 0.1345 | |||
| Jensen Alpha | 6.66 | |||
| Total Risk Alpha | (4.40) | |||
| Sortino Ratio | 0.5772 | |||
| Treynor Ratio | 19.13 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Protext Mobility's 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.
Protext Mobility Backtested Returns
Protext Mobility is out of control given 3 months investment horizon. Protext Mobility maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the firm had a 0.14 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 6.92% are justified by taking the suggested risk. Use Protext Mobility Risk Adjusted Performance of 0.1345, semi deviation of 7.3, and Coefficient Of Variation of 713.83 to evaluate company specific risk that cannot be diversified away. Protext Mobility holds a performance score of 10 on a scale of zero to a hundred. The company holds a Beta of 0.35, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Protext Mobility's returns are expected to increase less than the market. However, during the bear market, the loss of holding Protext Mobility is expected to be smaller as well. Use Protext Mobility potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to analyze future returns on Protext Mobility.
Auto-correlation | 0.17 |
Very weak predictability
Protext Mobility has very weak predictability. Overlapping area represents the amount of predictability between Protext Mobility time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 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 Protext Mobility price movement. The serial correlation of 0.17 indicates that over 17.0% of current Protext Mobility price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Protext Mobility lagged returns against current returns
Autocorrelation, which is Protext Mobility 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 Protext Mobility's pink sheet expected returns. We can calculate the autocorrelation of Protext Mobility returns to help us make a trade decision. For example, suppose you find that Protext Mobility 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 |
Protext Mobility 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 Protext Mobility pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Protext Mobility pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Protext Mobility pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Protext Mobility Lagged Returns
When evaluating Protext Mobility's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Protext Mobility pink sheet have on its future price. Protext Mobility 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, Protext Mobility autocorrelation shows the relationship between Protext Mobility pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Protext Mobility.
Regressed Prices |
| Timeline |
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Protext Mobility financial ratios help investors to determine whether Protext 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 Protext with respect to the benefits of owning Protext Mobility security.