Enertime SAS Stock Forecast - Polynomial Regression
| ALENE Stock | EUR 0.22 0.01 4.35% |
The Polynomial Regression forecasted value of Enertime SAS on the next trading day is expected to be 0.22 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Enertime Stock Forecast is based on your current time horizon.
Enertime |
Enertime SAS Polynomial Regression Price Forecast For the 4th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Enertime SAS on the next trading day is expected to be 0.22 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Enertime 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 Enertime SAS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Enertime SAS Stock Forecast Pattern
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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 Enertime SAS stock data series using in forecasting. Note that when a statistical model is used to represent Enertime SAS 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 | 49.5763 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Enertime SAS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enertime SAS. 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 Enertime SAS'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.
Enertime SAS 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 Enertime SAS stock to make a market-neutral strategy. Peer analysis of Enertime SAS could also be used in its relative valuation, which is a method of valuing Enertime SAS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Enertime SAS Market Strength Events
Market strength indicators help investors to evaluate how Enertime SAS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enertime SAS shares will generate the highest return on investment. By undertsting and applying Enertime SAS stock market strength indicators, traders can identify Enertime SAS entry and exit signals to maximize returns.
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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 Tools for Enertime Stock Analysis
When running Enertime SAS's price analysis, check to measure Enertime SAS'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 Enertime SAS is operating at the current time. Most of Enertime SAS's value examination focuses on studying past and present price action to predict the probability of Enertime SAS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enertime SAS's price. Additionally, you may evaluate how the addition of Enertime SAS to your portfolios can decrease your overall portfolio volatility.