AppTech Payments Stock Forecast - Simple Regression
| APCXW Stock | USD 0.19 0.01 5.00% |
AppTech Stock outlook is based on your current time horizon.
At this time, The value of RSI of AppTech Payments' share price is at 52. This suggests that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling AppTech Payments, making its price go up or down. Momentum 52
Impartial
Oversold | Overbought |
Using AppTech Payments hype-based prediction, you can estimate the value of AppTech Payments Corp from the perspective of AppTech Payments response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of AppTech Payments Corp on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 2.13. AppTech Payments after-hype prediction price | USD 0.19 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of AppTech Payments to cross-verify your projections. AppTech Payments Additional Predictive Modules
Most predictive techniques to examine AppTech price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AppTech using various technical indicators. When you analyze AppTech charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
AppTech Payments Simple Regression Price Forecast For the 29th of January
Given 90 days horizon, the Simple Regression forecasted value of AppTech Payments Corp on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 2.13.Please note that although there have been many attempts to predict AppTech Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that AppTech Payments' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AppTech Payments Stock Forecast Pattern
| Backtest AppTech Payments | AppTech Payments Price Prediction | Buy or Sell Advice |
AppTech Payments Forecasted Value
In the context of forecasting AppTech Payments' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. AppTech Payments' downside and upside margins for the forecasting period are 0 and 81.73, respectively. We have considered AppTech Payments' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of AppTech Payments stock data series using in forecasting. Note that when a statistical model is used to represent AppTech Payments stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.8188 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.035 |
| MAPE | Mean absolute percentage error | 0.5144 |
| SAE | Sum of the absolute errors | 2.1333 |
Predictive Modules for AppTech Payments
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AppTech Payments Corp. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AppTech Payments' 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.
AppTech Payments After-Hype Price Density Analysis
As far as predicting the price of AppTech Payments at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in AppTech Payments or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of AppTech Payments, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
AppTech Payments Estimiated After-Hype Price Volatility
In the context of predicting AppTech Payments' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AppTech Payments' historical news coverage. AppTech Payments' after-hype downside and upside margins for the prediction period are 0.01 and 59.69, respectively. We have considered AppTech Payments' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
AppTech Payments is out of control at this time. Analysis and calculation of next after-hype price of AppTech Payments Corp is based on 3 months time horizon.
AppTech Payments Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as AppTech Payments is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AppTech Payments backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with AppTech Payments, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
17.87 | 81.57 | 0.00 | 1.77 | 0 Events / Month | 1 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.19 | 0.19 | 0.00 |
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AppTech Payments Hype Timeline
AppTech Payments Corp is presently traded for 0.19. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 1.77. AppTech is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is presently at 17.87%. %. The volatility of related hype on AppTech Payments is about 82393.94%, with the expected price after the next announcement by competition of 1.96. The company recorded a loss per share of 7.17. AppTech Payments Corp had not issued any dividends in recent years. Assuming the 90 days horizon the next anticipated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of AppTech Payments to cross-verify your projections.AppTech Payments Related Hype Analysis
Having access to credible news sources related to AppTech Payments' direct competition is more important than ever and may enhance your ability to predict AppTech Payments' future price movements. Getting to know how AppTech Payments' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how AppTech Payments may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FMTO | FMTO New | 0.28 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MODGF | Mode Global Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FSRDQ | Fast Radius | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| POTTF | Buddy Technologies Limited | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CYRNQ | Cyren | 0.00 | 0 per month | 0.00 | (0.04) | 0.00 | 0.00 | 150.00 | |
| LYLT | Loyalty Ventures | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TMNA | Tingo Inc | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SOLS | Solstice Advanced Materials | 0.71 | 11 per month | 2.41 | 0.15 | 5.47 | (4.55) | 17.57 | |
| KPAY | KinerjaPay Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| DVPNF | VPN Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for AppTech Payments
For every potential investor in AppTech, whether a beginner or expert, AppTech Payments' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AppTech Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AppTech. Basic forecasting techniques help filter out the noise by identifying AppTech Payments' price trends.AppTech Payments Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with AppTech Payments stock to make a market-neutral strategy. Peer analysis of AppTech Payments could also be used in its relative valuation, which is a method of valuing AppTech Payments by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AppTech Payments Market Strength Events
Market strength indicators help investors to evaluate how AppTech Payments stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AppTech Payments shares will generate the highest return on investment. By undertsting and applying AppTech Payments stock market strength indicators, traders can identify AppTech Payments Corp entry and exit signals to maximize returns.
AppTech Payments Risk Indicators
The analysis of AppTech Payments' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in AppTech Payments' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting apptech stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 39.51 | |||
| Semi Deviation | 23.48 | |||
| Standard Deviation | 81.57 | |||
| Variance | 6653.51 | |||
| Downside Variance | 1228.92 | |||
| Semi Variance | 551.16 | |||
| Expected Short fall | (60.87) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for AppTech Payments
The number of cover stories for AppTech Payments depends on current market conditions and AppTech Payments' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AppTech Payments is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about AppTech Payments' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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AppTech Payments Short Properties
AppTech Payments' future price predictability will typically decrease when AppTech Payments' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of AppTech Payments Corp often depends not only on the future outlook of the potential AppTech Payments' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. AppTech Payments' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 25.3 M | |
| Cash And Short Term Investments | 868 K |
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.