Protext Mobility Stock Technical Analysis
| TXTM Stock | USD 0 0.0002 5.56% |
As of the 27th of January, Protext Mobility holds the Semi Deviation of 4.87, coefficient of variation of 1132.18, and Risk Adjusted Performance of 0.0739. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Protext Mobility, as well as the relationship between them. Please check Protext Mobility variance and potential upside to decide if Protext Mobility is priced some-what accurately, providing market reflects its current price of 0.0034 per share. As Protext Mobility appears to be a penny stock we also advise to check out its total risk alpha numbers.
Protext Mobility Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Protext, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ProtextProtext |
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.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Protext Mobility on October 29, 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 is related to or competes with Mosaic Immunoengineerin. 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 | 5.75 | |||
| Information Ratio | 0.076 | |||
| Maximum Drawdown | 32.26 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 |
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 | 0.0739 | |||
| Jensen Alpha | 0.6616 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.085 | |||
| Treynor Ratio | (0.37) |
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 January 27, 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 | 0.0739 | |||
| Market Risk Adjusted Performance | (0.36) | |||
| Mean Deviation | 4.85 | |||
| Semi Deviation | 4.87 | |||
| Downside Deviation | 5.75 | |||
| Coefficient Of Variation | 1132.18 | |||
| Standard Deviation | 6.44 | |||
| Variance | 41.42 | |||
| Information Ratio | 0.076 | |||
| Jensen Alpha | 0.6616 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.085 | |||
| Treynor Ratio | (0.37) | |||
| Maximum Drawdown | 32.26 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 | |||
| Downside Variance | 33.1 | |||
| Semi Variance | 23.75 | |||
| Expected Short fall | (6.14) | |||
| Skewness | 0.9719 | |||
| Kurtosis | 1.77 |
Protext Mobility Backtested Returns
Protext Mobility appears to be out of control, given 3 months investment horizon. Protext Mobility maintains Sharpe Ratio (i.e., Efficiency) of 0.0883, which implies the firm had a 0.0883 % return per unit of risk over the last 3 months. By analyzing Protext Mobility's technical indicators, you can evaluate if the expected return of 0.57% is justified by implied risk. Please evaluate Protext Mobility's Semi Deviation of 4.87, risk adjusted performance of 0.0739, and Coefficient Of Variation of 1132.18 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Protext Mobility holds a performance score of 7. The company holds a Beta of -1.49, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Protext Mobility are expected to decrease by larger amounts. On the other hand, during market turmoil, Protext Mobility is expected to outperform it. Please check Protext Mobility's potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to make a quick decision on whether Protext Mobility's historical price patterns will revert.
Auto-correlation | -0.54 |
Good reverse predictability
Protext Mobility has good reverse predictability. Overlapping area represents the amount of predictability between Protext Mobility time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 Protext Mobility price movement. The serial correlation of -0.54 indicates that about 54.0% of current Protext Mobility price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Protext Mobility 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.
Protext Mobility Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Protext Mobility volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Protext Mobility 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 Protext Mobility 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 Protext Mobility based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Protext Mobility price pattern first instead of the macroeconomic environment surrounding Protext Mobility. By analyzing Protext Mobility'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 Protext Mobility'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 Protext Mobility specific price patterns or momentum indicators. Please read more on our technical analysis page.
Protext Mobility January 27, 2026 Technical Indicators
Most technical analysis of Protext 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 Protext from various momentum indicators to cycle indicators. When you analyze Protext 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 | 0.0739 | |||
| Market Risk Adjusted Performance | (0.36) | |||
| Mean Deviation | 4.85 | |||
| Semi Deviation | 4.87 | |||
| Downside Deviation | 5.75 | |||
| Coefficient Of Variation | 1132.18 | |||
| Standard Deviation | 6.44 | |||
| Variance | 41.42 | |||
| Information Ratio | 0.076 | |||
| Jensen Alpha | 0.6616 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.085 | |||
| Treynor Ratio | (0.37) | |||
| Maximum Drawdown | 32.26 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 | |||
| Downside Variance | 33.1 | |||
| Semi Variance | 23.75 | |||
| Expected Short fall | (6.14) | |||
| Skewness | 0.9719 | |||
| Kurtosis | 1.77 |
Protext Mobility January 27, 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 Protext 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 | 964,314 | ||
| Daily Balance Of Power | (0.50) | ||
| Rate Of Daily Change | 0.94 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Protext Pink Sheet
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.