EVO Payments Stock Forecast - Naive Prediction

EVOPDelisted Stock  USD 33.99  0.00  0.00%   
The Naive Prediction forecasted value of EVO Payments on the next trading day is expected to be 34.06 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.12. EVO Stock Forecast is based on your current time horizon.
  
A naive forecasting model for EVO Payments is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of EVO Payments value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

EVO Payments Naive Prediction Price Forecast For the 24th of November

Given 90 days horizon, the Naive Prediction forecasted value of EVO Payments on the next trading day is expected to be 34.06 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.12.
Please note that although there have been many attempts to predict EVO 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 EVO Payments' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EVO Payments Stock Forecast Pattern

Backtest EVO PaymentsEVO Payments Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of EVO Payments stock data series using in forecasting. Note that when a statistical model is used to represent EVO 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.
AICAkaike Information Criteria110.7672
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0184
MAPEMean absolute percentage error5.0E-4
SAESum of the absolute errors1.1239
This model is not at all useful as a medium-long range forecasting tool of EVO Payments. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict EVO Payments. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for EVO 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 EVO Payments. 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.
Hype
Prediction
LowEstimatedHigh
33.9933.9933.99
Details
Intrinsic
Valuation
LowRealHigh
28.8328.8337.39
Details
Bollinger
Band Projection (param)
LowMiddleHigh
33.9933.9933.99
Details

EVO 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 EVO Payments stock to make a market-neutral strategy. Peer analysis of EVO Payments could also be used in its relative valuation, which is a method of valuing EVO Payments by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

EVO Payments Market Strength Events

Market strength indicators help investors to evaluate how EVO 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 EVO Payments shares will generate the highest return on investment. By undertsting and applying EVO Payments stock market strength indicators, traders can identify EVO Payments entry and exit signals to maximize returns.

Pair Trading with EVO Payments

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 EVO Payments 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 EVO Payments will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to EVO Payments could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EVO Payments 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 EVO Payments - 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 EVO Payments to buy it.
The correlation of EVO Payments 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 EVO Payments moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EVO Payments 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 EVO Payments 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.
Pair CorrelationCorrelation Matching
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.
You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

Other Consideration for investing in EVO Stock

If you are still planning to invest in EVO Payments 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 EVO Payments' history and understand the potential risks before investing.
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