Appyea Inc Stock Market Value
| APYP Stock | USD 0.03 0 5.56% |
| Symbol | AppYea |
AppYea '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 AppYea'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 AppYea.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in AppYea on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding AppYea Inc or generate 0.0% return on investment in AppYea over 90 days. AppYea is related to or competes with SeaChange International, Grow Capital, Everything Blockchain, BC Technology, Elcom International, and KwikClick. AppYea, Inc. operates as a digital health company that designs, patents, and produces sensor monitoring and software sol... More
AppYea 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 AppYea'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 AppYea Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.43 | |||
| Information Ratio | 0.0984 | |||
| Maximum Drawdown | 45.93 | |||
| Value At Risk | (9.34) | |||
| Potential Upside | 19.01 |
AppYea Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AppYea's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AppYea's standard deviation. In reality, there are many statistical measures that can use AppYea historical prices to predict the future AppYea's volatility.| Risk Adjusted Performance | 0.0907 | |||
| Jensen Alpha | 0.8672 | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | 0.1319 | |||
| Treynor Ratio | 1.19 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AppYea'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.
AppYea January 23, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0907 | |||
| Market Risk Adjusted Performance | 1.2 | |||
| Mean Deviation | 5.86 | |||
| Semi Deviation | 5.51 | |||
| Downside Deviation | 6.43 | |||
| Coefficient Of Variation | 905.03 | |||
| Standard Deviation | 8.61 | |||
| Variance | 74.2 | |||
| Information Ratio | 0.0984 | |||
| Jensen Alpha | 0.8672 | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | 0.1319 | |||
| Treynor Ratio | 1.19 | |||
| Maximum Drawdown | 45.93 | |||
| Value At Risk | (9.34) | |||
| Potential Upside | 19.01 | |||
| Downside Variance | 41.33 | |||
| Semi Variance | 30.32 | |||
| Expected Short fall | (7.38) | |||
| Skewness | 1.64 | |||
| Kurtosis | 3.89 |
AppYea Inc Backtested Returns
AppYea is out of control given 3 months investment horizon. AppYea Inc secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of risk over the last 3 months. We have analyzed and interpolated twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.18% are justified by taking the suggested risk. Use AppYea Risk Adjusted Performance of 0.0907, downside deviation of 6.43, and Mean Deviation of 5.86 to evaluate company specific risk that cannot be diversified away. AppYea holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.79, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AppYea's returns are expected to increase less than the market. However, during the bear market, the loss of holding AppYea is expected to be smaller as well. Use AppYea maximum drawdown, as well as the relationship between the skewness and day typical price , to analyze future returns on AppYea.
Auto-correlation | -0.47 |
Modest reverse predictability
AppYea Inc has modest reverse predictability. Overlapping area represents the amount of predictability between AppYea time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 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 AppYea Inc price movement. The serial correlation of -0.47 indicates that about 47.0% of current AppYea price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pair Trading with AppYea
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AppYea position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AppYea will appreciate offsetting losses from the drop in the long position's value.Moving against AppYea OTC Stock
The ability to find closely correlated positions to AppYea could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AppYea when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AppYea - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AppYea Inc to buy it.
The correlation of AppYea is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AppYea moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AppYea Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AppYea can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for AppYea OTC Stock Analysis
When running AppYea's price analysis, check to measure AppYea'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 AppYea is operating at the current time. Most of AppYea's value examination focuses on studying past and present price action to predict the probability of AppYea's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AppYea's price. Additionally, you may evaluate how the addition of AppYea to your portfolios can decrease your overall portfolio volatility.