Helmerich Stock Forecast - Triple Exponential Smoothing
| HP Stock | USD 41.23 0.73 1.74% |
The Triple Exponential Smoothing forecasted value of Helmerich and Payne on the next trading day is expected to be 41.31 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 38.75. Helmerich Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Helmerich stock prices and determine the direction of Helmerich and Payne's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Helmerich's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Helmerich's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Helmerich's systematic risk associated with finding meaningful patterns of Helmerich fundamentals over time.
Check out Historical Fundamental Analysis of Helmerich to cross-verify your projections. Helmerich |
Open Interest Against 2024-05-17 Helmerich Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Helmerich'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 in Helmerich's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Helmerich stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Helmerich's open interest, investors have to compare it to Helmerich'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 Helmerich 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 Helmerich. 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 Helmerich 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 Helmerich's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Helmerich's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Helmerich - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Helmerich 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 trend in Helmerich price movement. However, neither of these exponential smoothing models address any seasonality of Helmerich and Payne. Helmerich Triple Exponential Smoothing Price Forecast For the 24th of April
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Helmerich and Payne on the next trading day is expected to be 41.31 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.78, and the sum of the absolute errors of 38.75.Please note that although there have been many attempts to predict Helmerich 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 Helmerich's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Helmerich Stock Forecast Pattern
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Helmerich Forecasted Value
In the context of forecasting Helmerich'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. Helmerich's downside and upside margins for the forecasting period are 39.04 and 43.59, respectively. We have considered Helmerich'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Helmerich stock data series using in forecasting. Note that when a statistical model is used to represent Helmerich 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.1429 |
| MAD | Mean absolute deviation | 0.6459 |
| MAPE | Mean absolute percentage error | 0.0163 |
| SAE | Sum of the absolute errors | 38.7544 |
Predictive Modules for Helmerich
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Helmerich and Payne. 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 Helmerich'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.
Other Forecasting Options for Helmerich
For every potential investor in Helmerich, whether a beginner or expert, Helmerich's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Helmerich Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Helmerich. Basic forecasting techniques help filter out the noise by identifying Helmerich's price trends.Helmerich 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 Helmerich stock to make a market-neutral strategy. Peer analysis of Helmerich could also be used in its relative valuation, which is a method of valuing Helmerich by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Helmerich and Payne 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 Helmerich'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 Helmerich's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Helmerich Market Strength Events
Market strength indicators help investors to evaluate how Helmerich stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Helmerich shares will generate the highest return on investment. By undertsting and applying Helmerich stock market strength indicators, traders can identify Helmerich and Payne entry and exit signals to maximize returns.
| Accumulation Distribution | 52130.47 | |||
| Daily Balance Of Power | (0.59) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 41.54 | |||
| Day Typical Price | 41.44 | |||
| Price Action Indicator | (0.68) | |||
| Period Momentum Indicator | (0.73) |
Helmerich Risk Indicators
The analysis of Helmerich'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 Helmerich's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting helmerich 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 | 1.5 | |||
| Semi Deviation | 1.21 | |||
| Standard Deviation | 2.22 | |||
| Variance | 4.92 | |||
| Downside Variance | 2.2 | |||
| Semi Variance | 1.46 | |||
| Expected Short fall | (1.85) |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Helmerich to cross-verify your projections. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Complementary Tools for Helmerich Stock analysis
When running Helmerich's price analysis, check to measure Helmerich'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 Helmerich is operating at the current time. Most of Helmerich's value examination focuses on studying past and present price action to predict the probability of Helmerich's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Helmerich's price. Additionally, you may evaluate how the addition of Helmerich to your portfolios can decrease your overall portfolio volatility.
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Is Helmerich'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 Helmerich. If investors know Helmerich 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 Helmerich listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.033 | Dividend Share 1 | Earnings Share 4.19 | Revenue Per Share 28.041 | Quarterly Revenue Growth (0.06) |
The market value of Helmerich and Payne is measured differently than its book value, which is the value of Helmerich that is recorded on the company's balance sheet. Investors also form their own opinion of Helmerich's value that differs from its market value or its book value, called intrinsic value, which is Helmerich'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 Helmerich's market value can be influenced by many factors that don't directly affect Helmerich'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 Helmerich's value and its price as these two are different measures arrived at by different means. Investors typically determine if Helmerich is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Helmerich'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.