Appswarm Stock Market Value
| SWRM Stock | USD 0.0001 0.00 0.00% |
| Symbol | Appswarm |
Appswarm '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 Appswarm'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 Appswarm.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Appswarm on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Appswarm or generate 0.0% return on investment in Appswarm over 90 days. App Swarm, Inc., an application incubation company, engages in acquiring and marketing applications for various forms of... More
Appswarm 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 Appswarm'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 Appswarm upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 53.45 | |||
| Information Ratio | 0.1216 | |||
| Maximum Drawdown | 150.0 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 |
Appswarm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Appswarm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Appswarm's standard deviation. In reality, there are many statistical measures that can use Appswarm historical prices to predict the future Appswarm's volatility.| Risk Adjusted Performance | 0.1 | |||
| Jensen Alpha | 4.97 | |||
| Total Risk Alpha | 2.23 | |||
| Sortino Ratio | 0.084 | |||
| Treynor Ratio | (0.48) |
Appswarm February 3, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1 | |||
| Market Risk Adjusted Performance | (0.47) | |||
| Mean Deviation | 20.25 | |||
| Semi Deviation | 18.44 | |||
| Downside Deviation | 53.45 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 36.93 | |||
| Variance | 1363.64 | |||
| Information Ratio | 0.1216 | |||
| Jensen Alpha | 4.97 | |||
| Total Risk Alpha | 2.23 | |||
| Sortino Ratio | 0.084 | |||
| Treynor Ratio | (0.48) | |||
| Maximum Drawdown | 150.0 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 | |||
| Downside Variance | 2857.14 | |||
| Semi Variance | 340.2 | |||
| Expected Short fall | (100.00) | |||
| Skewness | 1.51 | |||
| Kurtosis | 2.77 |
Appswarm Backtested Returns
Appswarm is out of control given 3 months investment horizon. Appswarm secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14 % return per unit of risk over the last 3 months. We were able to interpolate data for twenty-five different technical indicators, which can help you to evaluate if expected returns of 5.0% are justified by taking the suggested risk. Use Appswarm Mean Deviation of 20.25, downside deviation of 53.45, and Risk Adjusted Performance of 0.1 to evaluate company specific risk that cannot be diversified away. Appswarm holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -9.54, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Appswarm are expected to decrease by larger amounts. On the other hand, during market turmoil, Appswarm is expected to outperform it. Use Appswarm jensen alpha, potential upside, as well as the relationship between the Potential Upside and rate of daily change , to analyze future returns on Appswarm.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Appswarm has insignificant reverse predictability. Overlapping area represents the amount of predictability between Appswarm time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 Appswarm price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Appswarm price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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Appswarm financial ratios help investors to determine whether Appswarm 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 Appswarm with respect to the benefits of owning Appswarm security.