Elastic NV Stock Forecast - Polynomial Regression

ESTC Stock  USD 93.79  1.51  1.58%   
The Polynomial Regression forecasted value of Elastic NV on the next trading day is expected to be 83.17 with a mean absolute deviation of 3.65 and the sum of the absolute errors of 222.44. Elastic Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Elastic NV stock prices and determine the direction of Elastic NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Elastic NV's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Elastic NV's Asset Turnover is projected to slightly decrease based on the last few years of reporting. . As of March 19, 2025, Common Stock Shares Outstanding is expected to decline to about 87.6 M. In addition to that, Net Loss is expected to decline to about (223.2 M).

Open Interest Against 2025-06-20 Elastic Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Elastic NV'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 Elastic NV's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Elastic NV 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 Elastic NV's open interest, investors have to compare it to Elastic NV'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 Elastic NV 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 Elastic. 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.
Elastic NV polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Elastic NV as well as the accuracy indicators are determined from the period prices.

Elastic NV Polynomial Regression Price Forecast For the 20th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Elastic NV on the next trading day is expected to be 83.17 with a mean absolute deviation of 3.65, mean absolute percentage error of 19.07, and the sum of the absolute errors of 222.44.
Please note that although there have been many attempts to predict Elastic 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 Elastic NV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Elastic NV Stock Forecast Pattern

Backtest Elastic NVElastic NV Price PredictionBuy or Sell Advice 

Elastic NV Forecasted Value

In the context of forecasting Elastic NV'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. Elastic NV's downside and upside margins for the forecasting period are 79.46 and 86.88, respectively. We have considered Elastic NV'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
93.79
83.17
Expected Value
86.88
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 Elastic NV stock data series using in forecasting. Note that when a statistical model is used to represent Elastic NV 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 Criteria121.0589
BiasArithmetic mean of the errors None
MADMean absolute deviation3.6466
MAPEMean absolute percentage error0.0351
SAESum of the absolute errors222.4413
A single variable polynomial regression model attempts to put a curve through the Elastic NV 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 Elastic NV

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Elastic NV. 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 Elastic NV'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.
Hype
Prediction
LowEstimatedHigh
89.9893.6997.40
Details
Intrinsic
Valuation
LowRealHigh
84.41102.08105.79
Details
Bollinger
Band Projection (param)
LowMiddleHigh
85.26102.34119.43
Details
28 Analysts
Consensus
LowTargetHigh
115.79127.24141.24
Details

Other Forecasting Options for Elastic NV

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

View Elastic NV Related Equities

 Risk & Return  Correlation

Elastic NV 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 Elastic NV'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 Elastic NV's current price.

Elastic NV Market Strength Events

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

Elastic NV Risk Indicators

The analysis of Elastic NV'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 Elastic NV's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting elastic 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.
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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Elastic NV offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Elastic NV'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 Elastic Nv Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Elastic Nv Stock:
Check out Historical Fundamental Analysis of Elastic NV to cross-verify your projections.
For information on how to trade Elastic Stock refer to our How to Trade Elastic Stock guide.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Is Application Software space 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 Elastic NV. If investors know Elastic 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 Elastic NV listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(1.31)
Revenue Per Share
13.919
Quarterly Revenue Growth
0.165
Return On Assets
(0.02)
Return On Equity
(0.17)
The market value of Elastic NV is measured differently than its book value, which is the value of Elastic that is recorded on the company's balance sheet. Investors also form their own opinion of Elastic NV's value that differs from its market value or its book value, called intrinsic value, which is Elastic NV'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 Elastic NV's market value can be influenced by many factors that don't directly affect Elastic NV'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 Elastic NV's value and its price as these two are different measures arrived at by different means. Investors typically determine if Elastic NV is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Elastic NV'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.