Perficient Stock Forecast - Polynomial Regression

PRFT
 Stock
  

USD 65.02  0.64  0.97%   

Perficient Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Perficient historical stock prices and determine the direction of Perficient'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 Perficient historical fundamentals such as revenue growth or operating cash flow patterns.
Please check Historical Fundamental Analysis of Perficient to cross-verify your projections.
  

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

Although open interest is a measure utilized in the options markets, it could be used to forecast Perficient's 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 Perficient's options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Perficient 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 Perficient's open interest, investors have to compare it to Perficient's 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 Perficient 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 Perficient. 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 Perficient 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 Perficient's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Perficient's price structures and extracts relationships that further increase the generated results' accuracy.
Perficient polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Perficient as well as the accuracy indicators are determined from the period prices.

Perficient Polynomial Regression Price Forecast For the 2nd of October

Given 90 days horizon, the Polynomial Regression forecasted value of Perficient on the next trading day is expected to be 65.00 with a mean absolute deviation of 3.14, mean absolute percentage error of 18.03, and the sum of the absolute errors of 191.26.
Please note that although there have been many attempts to predict Perficient 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 Perficient's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Perficient Stock Forecast Pattern

Backtest PerficientPerficient Price PredictionBuy or Sell Advice 

Perficient Forecasted Value

In the context of forecasting Perficient'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. Perficient's downside and upside margins for the forecasting period are 61.77 and 68.23, respectively. We have considered Perficient'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 65.02
65.00
Expected Value
68.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Perficient stock data series using in forecasting. Note that when a statistical model is used to represent Perficient 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 Criteria121.0028
BiasArithmetic mean of the errors None
MADMean absolute deviation3.1355
MAPEMean absolute percentage error0.0363
SAESum of the absolute errors191.2633
A single variable polynomial regression model attempts to put a curve through the Perficient historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Perficient

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Perficient. 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 Perficient'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. Please use the tools below to analyze the current value of Perficient in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
62.2565.4868.71
Details
Intrinsic
Valuation
LowReal ValueHigh
58.5284.7187.94
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
56.2871.1285.96
Details
7 Analysts
Consensus
LowTarget PriceHigh
125.00147.67163.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Perficient. Your research has to be compared to or analyzed against Perficient's peers to derive any actionable benefits. When done correctly, Perficient's 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 Perficient.

Other Forecasting Options for Perficient

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

Perficient 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 Perficient stock to make a market-neutral strategy. Peer analysis of Perficient could also be used in its relative valuation, which is a method of valuing Perficient by comparing valuation metrics with similar companies.
Beijing Cap IntlJapan Airport TerminalSingapore AirportFlughafen Zuerich UnsAdrFlughafen ZuerichCorporacion AmericaTav HavalimanlariAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanNatural Hlth TrdUSA Value FactorBetapro Canadian Gold
 Risk & Return  Correlation

Perficient 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 Perficient'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 Perficient's current price.

Perficient Market Strength Events

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

Perficient Risk Indicators

The analysis of Perficient's 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 Perficient's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Perficient 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Perficient in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Perficient's short interest history, or implied volatility extrapolated from Perficient options trading.

Currently Active Assets on Macroaxis

Please check Historical Fundamental Analysis of Perficient to cross-verify your projections. Note that the Perficient information on this page should be used as a complementary analysis to other Perficient's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..

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When running Perficient price analysis, check to measure Perficient'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 Perficient is operating at the current time. Most of Perficient's value examination focuses on studying past and present price action to predict the probability of Perficient's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Perficient's price. Additionally, you may evaluate how the addition of Perficient to your portfolios can decrease your overall portfolio volatility.
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Is Perficient's 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 Perficient. If investors know Perficient 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 Perficient 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 Perficient is measured differently than its book value, which is the value of Perficient that is recorded on the company's balance sheet. Investors also form their own opinion of Perficient's value that differs from its market value or its book value, called intrinsic value, which is Perficient's 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 Perficient's market value can be influenced by many factors that don't directly affect Perficient's 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 Perficient's value and its price as these two are different measures arrived at by different means. Investors typically determine Perficient value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Perficient's 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.