Appsoft Technologies Stock Market Value
| ASFT Stock | USD 0.27 0.00 0.00% |
| Symbol | AppSoft |
AppSoft Technologies '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 AppSoft Technologies' 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 AppSoft Technologies.
| 05/28/2025 |
| 12/24/2025 |
If you would invest 0.00 in AppSoft Technologies on May 28, 2025 and sell it all today you would earn a total of 0.00 from holding AppSoft Technologies or generate 0.0% return on investment in AppSoft Technologies over 210 days. AppSoft Technologies is related to or competes with Moatable. AppSoft Technologies, Inc. develops, publishes, and markets mobile software applications for smartphones and tablet devi... More
AppSoft Technologies 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 AppSoft Technologies' 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 AppSoft Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0565 | |||
| Maximum Drawdown | 135.95 |
AppSoft Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AppSoft Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AppSoft Technologies' standard deviation. In reality, there are many statistical measures that can use AppSoft Technologies historical prices to predict the future AppSoft Technologies' volatility.| Risk Adjusted Performance | 0.0528 | |||
| Jensen Alpha | 0.5102 | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | 0.1682 |
AppSoft Technologies Backtested Returns
AppSoft Technologies appears to be out of control, given 3 months investment horizon. AppSoft Technologies secures Sharpe Ratio (or Efficiency) of 0.0618, which signifies that the company had a 0.0618 % return per unit of risk over the last 3 months. By analyzing AppSoft Technologies' technical indicators, you can evaluate if the expected return of 0.79% is justified by implied risk. Please makes use of AppSoft Technologies' Mean Deviation of 3.03, risk adjusted performance of 0.0528, and Standard Deviation of 12.79 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AppSoft Technologies holds a performance score of 4. The firm shows a Beta (market volatility) of 4.64, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, AppSoft Technologies will likely underperform. Please check AppSoft Technologies' variance and kurtosis , to make a quick decision on whether AppSoft Technologies' price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
AppSoft Technologies has no correlation between past and present. Overlapping area represents the amount of predictability between AppSoft Technologies time series from 28th of May 2025 to 10th of September 2025 and 10th of September 2025 to 24th of December 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 AppSoft Technologies price movement. The serial correlation of 0.0 indicates that just 0.0% of current AppSoft Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AppSoft Technologies lagged returns against current returns
Autocorrelation, which is AppSoft Technologies 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 AppSoft Technologies' pink sheet expected returns. We can calculate the autocorrelation of AppSoft Technologies returns to help us make a trade decision. For example, suppose you find that AppSoft Technologies 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 |
AppSoft Technologies 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 AppSoft Technologies pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AppSoft Technologies pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AppSoft Technologies pink sheet over time.
Current vs Lagged Prices |
| Timeline |
AppSoft Technologies Lagged Returns
When evaluating AppSoft Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AppSoft Technologies pink sheet have on its future price. AppSoft Technologies 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, AppSoft Technologies autocorrelation shows the relationship between AppSoft Technologies pink sheet current value and its past values and can show if there is a momentum factor associated with investing in AppSoft Technologies.
Regressed Prices |
| Timeline |
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Additional Tools for AppSoft Pink Sheet Analysis
When running AppSoft Technologies' price analysis, check to measure AppSoft Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AppSoft Technologies is operating at the current time. Most of AppSoft Technologies' value examination focuses on studying past and present price action to predict the probability of AppSoft Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AppSoft Technologies' price. Additionally, you may evaluate how the addition of AppSoft Technologies to your portfolios can decrease your overall portfolio volatility.