Appswarm Stock Market Value
| SWRM Stock | USD 0.0003 0.0001 50.00% |
| 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.
| 11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in Appswarm on November 14, 2024 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 30 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 | 36.51 | |||
| Information Ratio | 0.0778 | |||
| Maximum Drawdown | 83.33 | |||
| Value At Risk | (33.33) | |||
| Potential Upside | 50.0 |
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 | 0.07 | |||
| Jensen Alpha | 1.66 | |||
| Total Risk Alpha | (0.76) | |||
| Sortino Ratio | 0.0388 | |||
| Treynor Ratio | (0.86) |
Appswarm Backtested Returns
Appswarm is out of control given 3 months investment horizon. Appswarm secures Sharpe Ratio (or Efficiency) of 0.0846, which signifies that the company had a 0.0846% return per unit of risk over the last 3 months. We were able to interpolate data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.56% are justified by taking the suggested risk. Use Appswarm Risk Adjusted Performance of 0.07, downside deviation of 36.51, and Mean Deviation of 8.82 to evaluate company specific risk that cannot be diversified away. Appswarm holds a performance score of 6 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -1.75, 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 potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to analyze future returns on Appswarm.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Appswarm lagged returns against current returns
Autocorrelation, which is Appswarm 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 Appswarm's pink sheet expected returns. We can calculate the autocorrelation of Appswarm returns to help us make a trade decision. For example, suppose you find that Appswarm 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 |
Appswarm 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 Appswarm pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Appswarm pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Appswarm pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Appswarm Lagged Returns
When evaluating Appswarm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Appswarm pink sheet have on its future price. Appswarm 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, Appswarm autocorrelation shows the relationship between Appswarm pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Appswarm.
Regressed Prices |
| Timeline |
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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.