Appswarm Stock Technical Analysis
| SWRM Stock | USD 0.0001 0.00 0.00% |
As of the 6th of February, Appswarm shows the Downside Deviation of 54.01, mean deviation of 20.09, and Risk Adjusted Performance of 0.1196. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Appswarm, as well as the relationship between them. Please confirm Appswarm variance and potential upside to decide if Appswarm is priced correctly, providing market reflects its regular price of 1.0E-4 per share. As Appswarm appears to be a penny stock we also recommend to validate its total risk alpha numbers.
Appswarm Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Appswarm, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AppswarmAppswarm |
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.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Appswarm on November 8, 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 | 54.01 | |||
| Information Ratio | 0.1449 | |||
| 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 | 0.1196 | |||
| Jensen Alpha | 5.62 | |||
| Total Risk Alpha | 3.6 | |||
| Sortino Ratio | 0.0974 | |||
| Treynor Ratio | (0.57) |
Appswarm February 6, 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 | 0.1196 | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 20.09 | |||
| Semi Deviation | 17.21 | |||
| Downside Deviation | 54.01 | |||
| Coefficient Of Variation | 684.49 | |||
| Standard Deviation | 36.3 | |||
| Variance | 1317.6 | |||
| Information Ratio | 0.1449 | |||
| Jensen Alpha | 5.62 | |||
| Total Risk Alpha | 3.6 | |||
| Sortino Ratio | 0.0974 | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 150.0 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 | |||
| Downside Variance | 2916.67 | |||
| Semi Variance | 296.33 | |||
| Expected Short fall | (100.00) | |||
| Skewness | 1.58 | |||
| Kurtosis | 2.96 |
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-seven 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 20.09, risk adjusted performance of 0.1196, and Downside Deviation of 54.01 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 -9.36, 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 accumulation distribution , to analyze future returns on Appswarm.
Auto-correlation | -0.26 |
Weak reverse predictability
Appswarm has weak reverse predictability. Overlapping area represents the amount of predictability between Appswarm time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 -0.26 indicates that nearly 26.0% of current Appswarm price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Appswarm 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.
Appswarm Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Appswarm volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Appswarm 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 Appswarm 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 Appswarm based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Appswarm price pattern first instead of the macroeconomic environment surrounding Appswarm. By analyzing Appswarm'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 Appswarm'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 Appswarm specific price patterns or momentum indicators. Please read more on our technical analysis page.
Appswarm February 6, 2026 Technical Indicators
Most technical analysis of Appswarm 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 Appswarm from various momentum indicators to cycle indicators. When you analyze Appswarm 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 | 0.1196 | |||
| Market Risk Adjusted Performance | (0.56) | |||
| Mean Deviation | 20.09 | |||
| Semi Deviation | 17.21 | |||
| Downside Deviation | 54.01 | |||
| Coefficient Of Variation | 684.49 | |||
| Standard Deviation | 36.3 | |||
| Variance | 1317.6 | |||
| Information Ratio | 0.1449 | |||
| Jensen Alpha | 5.62 | |||
| Total Risk Alpha | 3.6 | |||
| Sortino Ratio | 0.0974 | |||
| Treynor Ratio | (0.57) | |||
| Maximum Drawdown | 150.0 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 | |||
| Downside Variance | 2916.67 | |||
| Semi Variance | 296.33 | |||
| Expected Short fall | (100.00) | |||
| Skewness | 1.58 | |||
| Kurtosis | 2.96 |
Appswarm February 6, 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 Appswarm 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 | 0.50 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Appswarm Pink Sheet
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.