Enlight Renewable Stock Forecast - Polynomial Regression
| ENLT Stock | ILS 5,814 13.00 0.22% |
The Polynomial Regression forecasted value of Enlight Renewable Energy on the next trading day is expected to be 5,846 with a mean absolute deviation of 90.86 and the sum of the absolute errors of 5,542. Enlight Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Enlight Renewable stock prices and determine the direction of Enlight Renewable Energy's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Enlight Renewable's historical fundamentals, such as revenue growth or operating cash flow patterns.
Enlight |
Enlight Renewable Polynomial Regression Price Forecast For the 15th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Enlight Renewable Energy on the next trading day is expected to be 5,846 with a mean absolute deviation of 90.86, mean absolute percentage error of 14,208, and the sum of the absolute errors of 5,542.Please note that although there have been many attempts to predict Enlight 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 Enlight Renewable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Enlight Renewable Stock Forecast Pattern
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Enlight Renewable Forecasted Value
In the context of forecasting Enlight Renewable'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. Enlight Renewable's downside and upside margins for the forecasting period are 5,844 and 5,848, respectively. We have considered Enlight Renewable'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 Enlight Renewable stock data series using in forecasting. Note that when a statistical model is used to represent Enlight Renewable 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 | 127.672 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 90.8592 |
| MAPE | Mean absolute percentage error | 0.0153 |
| SAE | Sum of the absolute errors | 5542.4096 |
Predictive Modules for Enlight Renewable
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enlight Renewable 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 Enlight Renewable
For every potential investor in Enlight, whether a beginner or expert, Enlight Renewable's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Enlight Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Enlight. Basic forecasting techniques help filter out the noise by identifying Enlight Renewable's price trends.Enlight Renewable 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 Enlight Renewable stock to make a market-neutral strategy. Peer analysis of Enlight Renewable could also be used in its relative valuation, which is a method of valuing Enlight Renewable by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Enlight Renewable 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 Enlight Renewable'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 Enlight Renewable's current price.| Cycle Indicators | ||
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| Momentum Indicators | ||
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Enlight Renewable Market Strength Events
Market strength indicators help investors to evaluate how Enlight Renewable stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enlight Renewable shares will generate the highest return on investment. By undertsting and applying Enlight Renewable stock market strength indicators, traders can identify Enlight Renewable Energy entry and exit signals to maximize returns.
Enlight Renewable Risk Indicators
The analysis of Enlight Renewable'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 Enlight Renewable's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enlight 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 | 1.47 | |||
| Standard Deviation | 2.0 | |||
| Variance | 3.99 |
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.Additional Information and Resources on Investing in Enlight Stock
When determining whether Enlight Renewable Energy is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Enlight Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Enlight Renewable Energy Stock. Highlighted below are key reports to facilitate an investment decision about Enlight Renewable Energy Stock:Check out Historical Fundamental Analysis of Enlight Renewable to cross-verify your projections. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.