Applife Digital Solutions Stock Market Value
| ALDS Stock | USD 0.01 0.0001 0.95% |
| Symbol | APPlife |
APPlife Digital '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 APPlife Digital's otc stock 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 APPlife Digital.
| 05/16/2025 |
| 08/14/2025 |
If you would invest 0.00 in APPlife Digital on May 16, 2025 and sell it all today you would earn a total of 0.00 from holding APPlife Digital Solutions or generate 0.0% return on investment in APPlife Digital over 90 days. APPlife Digital is related to or competes with Rego Payment. APPlife Digital Solutions, Inc. is a venture capital firm and a business incubator specializes in seed capital investmen... More
APPlife Digital 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 APPlife Digital's otc stock 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 APPlife Digital Solutions upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 82.32 | |||
| Value At Risk | (16.30) | |||
| Potential Upside | 8.75 |
APPlife Digital Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for APPlife Digital's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as APPlife Digital's standard deviation. In reality, there are many statistical measures that can use APPlife Digital historical prices to predict the future APPlife Digital's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (1.16) | |||
| Total Risk Alpha | (2.69) | |||
| Treynor Ratio | (1.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of APPlife Digital'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.
APPlife Digital Solutions Backtested Returns
APPlife Digital Solutions secures Sharpe Ratio (or Efficiency) of -0.0334, which signifies that the company had a -0.0334 % return per unit of risk over the last 3 months. APPlife Digital Solutions exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm APPlife Digital's risk adjusted performance of (0.07), and Mean Deviation of 4.46 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.91, which signifies possible diversification benefits within a given portfolio. APPlife Digital returns are very sensitive to returns on the market. As the market goes up or down, APPlife Digital is expected to follow. At this point, APPlife Digital Solutions has a negative expected return of -0.29%. Please make sure to confirm APPlife Digital's potential upside, as well as the relationship between the rate of daily change and period momentum indicator , to decide if APPlife Digital Solutions performance from the past will be repeated at future time.
Auto-correlation | -0.06 |
Very weak reverse predictability
APPlife Digital Solutions has very weak reverse predictability. Overlapping area represents the amount of predictability between APPlife Digital time series from 16th of May 2025 to 30th of June 2025 and 30th of June 2025 to 14th of August 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 APPlife Digital Solutions price movement. The serial correlation of -0.06 indicates that barely 6.0% of current APPlife Digital price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
APPlife Digital Solutions lagged returns against current returns
Autocorrelation, which is APPlife Digital otc stock'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 APPlife Digital's otc stock expected returns. We can calculate the autocorrelation of APPlife Digital returns to help us make a trade decision. For example, suppose you find that APPlife Digital has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
APPlife Digital 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 APPlife Digital otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if APPlife Digital otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in APPlife Digital otc stock over time.
Current vs Lagged Prices |
| Timeline |
APPlife Digital Lagged Returns
When evaluating APPlife Digital's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of APPlife Digital otc stock have on its future price. APPlife Digital 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, APPlife Digital autocorrelation shows the relationship between APPlife Digital otc stock current value and its past values and can show if there is a momentum factor associated with investing in APPlife Digital Solutions.
Regressed Prices |
| Timeline |
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Additional Tools for APPlife OTC Stock Analysis
When running APPlife Digital's price analysis, check to measure APPlife Digital's 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 APPlife Digital is operating at the current time. Most of APPlife Digital's value examination focuses on studying past and present price action to predict the probability of APPlife Digital's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move APPlife Digital's price. Additionally, you may evaluate how the addition of APPlife Digital to your portfolios can decrease your overall portfolio volatility.