Apptech Payments Corp Stock Technical Analysis
| APCXW Stock | USD 0.20 0.02 11.11% |
As of the 26th of November, AppTech Payments shows the Mean Deviation of 10.84, risk adjusted performance of 0.0841, and Downside Deviation of 19.66. AppTech Payments Corp technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm AppTech Payments Corp coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if AppTech Payments Corp is priced correctly, providing market reflects its regular price of 0.2 per share. As AppTech Payments Corp appears to be a penny stock we also recommend to validate its total risk alpha numbers.
AppTech Payments Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AppTech, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AppTechAppTech |
AppTech Payments technical stock 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, stock market cycles, or different charting patterns.
AppTech Payments Corp Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 AppTech Payments Corp volatility. High ATR values indicate high volatility, and low values indicate low volatility.
AppTech Payments Corp Trend Analysis
Use this graph to draw trend lines for AppTech Payments Corp. You can use it to identify possible trend reversals for AppTech Payments as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual AppTech Payments price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.AppTech Payments Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AppTech Payments Corp applied against its price change over selected period. The best fit line has a slop of 0.0016 , which may suggest that AppTech Payments Corp market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.1, which is the sum of squared deviations for the predicted AppTech Payments price change compared to its average price change.About AppTech Payments 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 AppTech Payments Corp 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 AppTech Payments Corp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AppTech Payments Corp price pattern first instead of the macroeconomic environment surrounding AppTech Payments Corp. By analyzing AppTech Payments'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 AppTech Payments'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 AppTech Payments specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Graham Number | 0.32 | 3.28 | 2.19 | 2.08 | Receivables Turnover | 8.77 | 8.82 | 16.8 | 13.41 |
AppTech Payments November 26, 2024 Technical Indicators
Most technical analysis of AppTech 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 AppTech from various momentum indicators to cycle indicators. When you analyze AppTech 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.
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| Risk Adjusted Performance | 0.0841 | |||
| Market Risk Adjusted Performance | (1.53) | |||
| Mean Deviation | 10.84 | |||
| Semi Deviation | 11.92 | |||
| Downside Deviation | 19.66 | |||
| Coefficient Of Variation | 1025.58 | |||
| Standard Deviation | 18.84 | |||
| Variance | 355.12 | |||
| Information Ratio | 0.0907 | |||
| Jensen Alpha | 1.97 | |||
| Total Risk Alpha | (1.10) | |||
| Sortino Ratio | 0.0869 | |||
| Treynor Ratio | (1.54) | |||
| Maximum Drawdown | 112.25 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 27.27 | |||
| Downside Variance | 386.68 | |||
| Semi Variance | 142.0 | |||
| Expected Short fall | (18.10) | |||
| Skewness | 1.87 | |||
| Kurtosis | 6.83 |
Additional Tools for AppTech Stock Analysis
When running AppTech Payments' price analysis, check to measure AppTech Payments' 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 AppTech Payments is operating at the current time. Most of AppTech Payments' value examination focuses on studying past and present price action to predict the probability of AppTech Payments' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AppTech Payments' price. Additionally, you may evaluate how the addition of AppTech Payments to your portfolios can decrease your overall portfolio volatility.