Shift4 Payments Stock Forecast - 8 Period Moving Average

FOUR
 Stock
  

USD 48.39  0.83  1.75%   

Shift4 Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Shift4 Payments historical stock prices and determine the direction of Shift4 Payments's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Shift4 Payments historical fundamentals such as revenue growth or operating cash flow patterns.
Please check Historical Fundamental Analysis of Shift4 Payments to cross-verify your projections.
  

Open Interest Agains t 2022-10-21 Shift4 Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Shift4 Payments' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest Shift4 Payments' options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Shift4 Payments stock based on available contracts left at the end of a trading day.
Please note, to derive more accurate forecasting about market movement from the current Shift4 Payments' open interest, investors have to compare it to Shift4 Payments' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Shift4 Payments is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Shift4. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Shift4 Payments cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Shift4 Payments' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Shift4 Payments' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Shift4 Payments is based on an artificially constructed time series of Shift4 Payments daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Shift4 Payments 8 Period Moving Average Price Forecast For the 8th of October

Given 90 days horizon, the 8 Period Moving Average forecasted value of Shift4 Payments on the next trading day is expected to be 46.36 with a mean absolute deviation of 2.56, mean absolute percentage error of 10.80, and the sum of the absolute errors of 135.88.
Please note that although there have been many attempts to predict Shift4 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 Shift4 Payments' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Shift4 Payments Stock Forecast Pattern

Backtest Shift4 PaymentsShift4 Payments Price PredictionBuy or Sell Advice 

Shift4 Payments Forecasted Value

In the context of forecasting Shift4 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. Shift4 Payments' downside and upside margins for the forecasting period are 42.97 and 49.74, respectively. We have considered Shift4 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.
Market Value 48.39
46.36
Expected Value
49.74
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Shift4 Payments stock data series using in forecasting. Note that when a statistical model is used to represent Shift4 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 Criteria105.7873
BiasArithmetic mean of the errors -1.0396
MADMean absolute deviation2.5638
MAPEMean absolute percentage error0.0565
SAESum of the absolute errors135.8837
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Shift4 Payments 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Shift4 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 Shift4 Payments. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Shift4 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. Please use the tools below to analyze the current value of Shift4 Payments in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
46.3449.7153.08
Details
Intrinsic
Valuation
LowReal ValueHigh
43.5561.3364.70
Details
7 Analysts
Consensus
LowTarget PriceHigh
69.0097.50115.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Shift4 Payments. Your research has to be compared to or analyzed against Shift4 Payments' peers to derive any actionable benefits. When done correctly, Shift4 Payments' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Shift4 Payments.

Other Forecasting Options for Shift4 Payments

For every potential investor in Shift4, whether a beginner or expert, Shift4 Payments' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Shift4 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Shift4. Basic forecasting techniques help filter out the noise by identifying Shift4 Payments' price trends.

Shift4 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 Shift4 Payments stock to make a market-neutral strategy. Peer analysis of Shift4 Payments could also be used in its relative valuation, which is a method of valuing Shift4 Payments by comparing valuation metrics with similar companies.
Microsoft CorpAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanNatural Hlth TrdUSA Value FactorBetapro Canadian GoldAramark Holdings CorpLong-Term Govt BondMaiden Holdings NorthSeagate Technology HldgsVistra Energy CorpExxon Mobil Corp
 Risk & Return  Correlation

Shift4 Payments 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 Shift4 Payments' 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 Shift4 Payments' current price.

Shift4 Payments Market Strength Events

Market strength indicators help investors to evaluate how Shift4 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 Shift4 Payments shares will generate the highest return on investment. By undertsting and applying Shift4 Payments stock market strength indicators, traders can identify Shift4 Payments entry and exit signals to maximize returns.

Shift4 Payments Risk Indicators

The analysis of Shift4 Payments' basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Shift4 Payments' investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Shift4 Payments stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Shift4 Payments without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Portfolio Suggestion Now

   

Portfolio Suggestion

Get suggestions outside of your existing asset allocation including your own model portfolios
All  Next Launch Module

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Shift4 Payments using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

Build Optimal Portfolios

Align your risk with return expectations

Fix your portfolio
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
Please check Historical Fundamental Analysis of Shift4 Payments to cross-verify your projections. You can also try Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Complementary Tools for analysis

When running Shift4 Payments price analysis, check to measure Shift4 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 Shift4 Payments is operating at the current time. Most of Shift4 Payments' value examination focuses on studying past and present price action to predict the probability of Shift4 Payments' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Shift4 Payments' price. Additionally, you may evaluate how the addition of Shift4 Payments to your portfolios can decrease your overall portfolio volatility.
Watchlist Optimization
Optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm
Go
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Go
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Go
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Go
Global Correlations
Find global opportunities by holding instruments from different markets
Go
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Go
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Go
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Go
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Go
Is Shift4 Payments' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Shift4 Payments. If investors know Shift4 will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Shift4 Payments listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Shift4 Payments is measured differently than its book value, which is the value of Shift4 that is recorded on the company's balance sheet. Investors also form their own opinion of Shift4 Payments' value that differs from its market value or its book value, called intrinsic value, which is Shift4 Payments' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Shift4 Payments' market value can be influenced by many factors that don't directly affect Shift4 Payments' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Shift4 Payments' value and its price as these two are different measures arrived at by different means. Investors typically determine Shift4 Payments value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Shift4 Payments' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.