Paysign Stock Forecast - Double Exponential Smoothing

PAYS Stock  USD 3.50  0.04  1.16%   
The Double Exponential Smoothing forecasted value of Paysign on the next trading day is expected to be 3.49 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.84. Paysign Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 0.23 in 2024. Payables Turnover is likely to drop to 0.83 in 2024. Net Income Applicable To Common Shares is likely to gain to about 971.2 K in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 50.3 M in 2024.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Paysign works best with periods where there are trends or seasonality.

Paysign Double Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Paysign on the next trading day is expected to be 3.49 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.84.
Please note that although there have been many attempts to predict Paysign 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 Paysign's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Paysign Stock Forecast Pattern

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Paysign Forecasted Value

In the context of forecasting Paysign's 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. Paysign's downside and upside margins for the forecasting period are 0.65 and 6.33, respectively. We have considered Paysign's 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.
Market Value
3.50
3.49
Expected Value
6.33
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Paysign stock data series using in forecasting. Note that when a statistical model is used to represent Paysign 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0175
MADMean absolute deviation0.0974
MAPEMean absolute percentage error0.0249
SAESum of the absolute errors5.8436
When Paysign prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Paysign trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Paysign observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Paysign

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Paysign. 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 Paysign'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.
Hype
Prediction
LowEstimatedHigh
0.743.586.42
Details
Intrinsic
Valuation
LowRealHigh
1.354.197.03
Details
4 Analysts
Consensus
LowTargetHigh
4.194.605.11
Details

Other Forecasting Options for Paysign

For every potential investor in Paysign, whether a beginner or expert, Paysign's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Paysign Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Paysign. Basic forecasting techniques help filter out the noise by identifying Paysign's price trends.

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 Risk & Return  Correlation

Paysign Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Paysign's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Paysign's current price.

Paysign Market Strength Events

Market strength indicators help investors to evaluate how Paysign stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Paysign shares will generate the highest return on investment. By undertsting and applying Paysign stock market strength indicators, traders can identify Paysign entry and exit signals to maximize returns.

Paysign Risk Indicators

The analysis of Paysign'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 Paysign's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting paysign 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.
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.

Thematic Opportunities

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Additional Tools for Paysign Stock Analysis

When running Paysign's price analysis, check to measure Paysign'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 Paysign is operating at the current time. Most of Paysign's value examination focuses on studying past and present price action to predict the probability of Paysign's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Paysign's price. Additionally, you may evaluate how the addition of Paysign to your portfolios can decrease your overall portfolio volatility.