Payfare OTC Stock Forecast - Simple Exponential Smoothing
| PYFRFDelisted Stock | USD 2.76 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Payfare on the next trading day is expected to be 2.76 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.23. Payfare OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Payfare's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 6th of January 2026, the value of RSI of Payfare's share price is approaching 30 indicating that the otc stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Payfare, making its price go up or down. Momentum 30
Sell Stretched
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Payfare based on different types of headlines from major news networks to social media. Using Payfare hype-based prediction, you can estimate the value of Payfare from the perspective of Payfare response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Payfare on the next trading day is expected to be 2.76 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.23. Payfare after-hype prediction price | USD 2.76 |
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 otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Payfare |
Payfare Additional Predictive Modules
Most predictive techniques to examine Payfare price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Payfare using various technical indicators. When you analyze Payfare 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 |
Payfare Simple Exponential Smoothing Price Forecast For the 7th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Payfare on the next trading day is expected to be 2.76 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.02, and the sum of the absolute errors of 2.23.Please note that although there have been many attempts to predict Payfare OTC 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 Payfare's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Payfare OTC Stock Forecast Pattern
| Backtest Payfare | Payfare Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Payfare otc stock data series using in forecasting. Note that when a statistical model is used to represent Payfare otc 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 | 112.4974 |
| Bias | Arithmetic mean of the errors | -0.0212 |
| MAD | Mean absolute deviation | 0.0372 |
| MAPE | Mean absolute percentage error | 0.0155 |
| SAE | Sum of the absolute errors | 2.23 |
Predictive Modules for Payfare
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Payfare. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.Payfare 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 Payfare otc stock to make a market-neutral strategy. Peer analysis of Payfare could also be used in its relative valuation, which is a method of valuing Payfare by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Payfare Market Strength Events
Market strength indicators help investors to evaluate how Payfare otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Payfare shares will generate the highest return on investment. By undertsting and applying Payfare otc stock market strength indicators, traders can identify Payfare entry and exit signals to maximize returns.
Payfare Risk Indicators
The analysis of Payfare's 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 Payfare's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting payfare otc 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 | 2.88 | |||
| Semi Deviation | 0.5424 | |||
| Standard Deviation | 9.7 | |||
| Variance | 94.06 | |||
| Downside Variance | 4.23 | |||
| Semi Variance | 0.2943 | |||
| Expected Short fall | (5.24) |
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.
Currently Active Assets on Macroaxis
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in population. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Other Consideration for investing in Payfare OTC Stock
If you are still planning to invest in Payfare check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Payfare's history and understand the potential risks before investing.
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