Séché Environnement Stock Forecast - Triple Exponential Smoothing
SCB Stock | EUR 77.60 1.50 1.90% |
The Triple Exponential Smoothing forecasted value of Sch Environnement SA on the next trading day is expected to be 77.50 with a mean absolute deviation of 1.10 and the sum of the absolute errors of 64.80. Séché Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Séché Environnement's historical fundamentals, such as revenue growth or operating cash flow patterns.
Séché |
Séché Environnement Triple Exponential Smoothing Price Forecast For the 12th of January 2025
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sch Environnement SA on the next trading day is expected to be 77.50 with a mean absolute deviation of 1.10, mean absolute percentage error of 2.21, and the sum of the absolute errors of 64.80.Please note that although there have been many attempts to predict Séché 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 Séché Environnement's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Séché Environnement Stock Forecast Pattern
Backtest Séché Environnement | Séché Environnement Price Prediction | Buy or Sell Advice |
Séché Environnement Forecasted Value
In the context of forecasting Séché Environnement'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. Séché Environnement's downside and upside margins for the forecasting period are 75.67 and 79.33, respectively. We have considered Séché Environnement'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 Séché Environnement stock data series using in forecasting. Note that when a statistical model is used to represent Séché Environnement 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 | 0.0339 |
MAD | Mean absolute deviation | 1.0983 |
MAPE | Mean absolute percentage error | 0.0133 |
SAE | Sum of the absolute errors | 64.8 |
Predictive Modules for Séché Environnement
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Séché Environnement. 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 Séché Environnement
For every potential investor in Séché, whether a beginner or expert, Séché Environnement's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Séché Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Séché. Basic forecasting techniques help filter out the noise by identifying Séché Environnement's price trends.Séché Environnement 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 Séché Environnement stock to make a market-neutral strategy. Peer analysis of Séché Environnement could also be used in its relative valuation, which is a method of valuing Séché Environnement by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Séché Environnement 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 Séché Environnement'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 Séché Environnement's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Séché Environnement Market Strength Events
Market strength indicators help investors to evaluate how Séché Environnement stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Séché Environnement shares will generate the highest return on investment. By undertsting and applying Séché Environnement stock market strength indicators, traders can identify Sch Environnement SA entry and exit signals to maximize returns.
Daily Balance Of Power | (9,223,372,036,855) | |||
Rate Of Daily Change | 0.98 | |||
Day Median Price | 77.6 | |||
Day Typical Price | 77.6 | |||
Price Action Indicator | (0.75) | |||
Period Momentum Indicator | (1.50) | |||
Relative Strength Index | 46.38 |
Séché Environnement Risk Indicators
The analysis of Séché Environnement'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 Séché Environnement's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting séché 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 | 1.29 | |||
Standard Deviation | 1.76 | |||
Variance | 3.11 |
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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Other Information on Investing in Séché Stock
Séché Environnement financial ratios help investors to determine whether Séché Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Séché with respect to the benefits of owning Séché Environnement security.