Patterson-UTI Energy Stock Forecast - Polynomial Regression
PE1 Stock | EUR 8.00 0.05 0.62% |
The Polynomial Regression forecasted value of Patterson UTI Energy on the next trading day is expected to be 8.22 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 12.07. Patterson-UTI Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Patterson-UTI Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
Patterson-UTI |
Patterson-UTI Energy Polynomial Regression Price Forecast For the 1st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Patterson UTI Energy on the next trading day is expected to be 8.22 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.06, and the sum of the absolute errors of 12.07.Please note that although there have been many attempts to predict Patterson-UTI 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 Patterson-UTI Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Patterson-UTI Energy Stock Forecast Pattern
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Patterson-UTI Energy Forecasted Value
In the context of forecasting Patterson-UTI Energy'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. Patterson-UTI Energy's downside and upside margins for the forecasting period are 5.40 and 11.04, respectively. We have considered Patterson-UTI Energy'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.
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 Patterson-UTI Energy stock data series using in forecasting. Note that when a statistical model is used to represent Patterson-UTI Energy 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 | 115.364 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.1979 |
MAPE | Mean absolute percentage error | 0.0271 |
SAE | Sum of the absolute errors | 12.0715 |
Predictive Modules for Patterson-UTI Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Patterson UTI Energy. 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.Other Forecasting Options for Patterson-UTI Energy
For every potential investor in Patterson-UTI, whether a beginner or expert, Patterson-UTI Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Patterson-UTI Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Patterson-UTI. Basic forecasting techniques help filter out the noise by identifying Patterson-UTI Energy's price trends.Patterson-UTI Energy 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 Patterson-UTI Energy stock to make a market-neutral strategy. Peer analysis of Patterson-UTI Energy could also be used in its relative valuation, which is a method of valuing Patterson-UTI Energy by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Patterson UTI Energy 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 Patterson-UTI Energy'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 Patterson-UTI Energy's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Patterson-UTI Energy Market Strength Events
Market strength indicators help investors to evaluate how Patterson-UTI Energy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Patterson-UTI Energy shares will generate the highest return on investment. By undertsting and applying Patterson-UTI Energy stock market strength indicators, traders can identify Patterson UTI Energy entry and exit signals to maximize returns.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.99 | |||
Day Median Price | 8.0 | |||
Day Typical Price | 8.0 | |||
Price Action Indicator | (0.03) | |||
Period Momentum Indicator | (0.05) | |||
Relative Strength Index | 69.57 |
Patterson-UTI Energy Risk Indicators
The analysis of Patterson-UTI Energy'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 Patterson-UTI Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting patterson-uti 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 | 2.24 | |||
Standard Deviation | 2.82 | |||
Variance | 7.96 |
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.
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Additional Information and Resources on Investing in Patterson-UTI Stock
When determining whether Patterson UTI Energy offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Patterson-UTI Energy's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Patterson Uti Energy Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Patterson Uti Energy Stock:Check out Historical Fundamental Analysis of Patterson-UTI Energy to cross-verify your projections. For more detail on how to invest in Patterson-UTI Stock please use our How to Invest in Patterson-UTI Energy guide.You can also try the CEOs Directory module to screen CEOs from public companies around the world.