Jereissati Participaes Stock Forecast - Simple Moving Average
| IGTI11 Stock | 26.62 0.07 0.26% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using Jereissati Participaes hype-based prediction, you can estimate the value of Jereissati Participaes SA from the perspective of Jereissati Participaes response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Jereissati Participaes SA on the next trading day is expected to be 26.62 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.26. Jereissati Participaes after-hype prediction price | BRL 26.62 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Jereissati |
Jereissati Participaes Additional Predictive Modules
Most predictive techniques to examine Jereissati price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Jereissati using various technical indicators. When you analyze Jereissati charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Jereissati Participaes Simple Moving Average Price Forecast For the 14th of January 2026
Given 90 days horizon, the Simple Moving Average forecasted value of Jereissati Participaes SA on the next trading day is expected to be 26.62 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.23, and the sum of the absolute errors of 20.26.Please note that although there have been many attempts to predict Jereissati 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 Jereissati Participaes' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Jereissati Participaes Stock Forecast Pattern
Jereissati Participaes Forecasted Value
In the context of forecasting Jereissati Participaes' 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. Jereissati Participaes' downside and upside margins for the forecasting period are 24.91 and 28.33, respectively. We have considered Jereissati Participaes' 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Jereissati Participaes stock data series using in forecasting. Note that when a statistical model is used to represent Jereissati Participaes 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 | 114.789 |
| Bias | Arithmetic mean of the errors | -0.0921 |
| MAD | Mean absolute deviation | 0.3376 |
| MAPE | Mean absolute percentage error | 0.0133 |
| SAE | Sum of the absolute errors | 20.255 |
Predictive Modules for Jereissati Participaes
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jereissati Participaes. 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 Jereissati Participaes
For every potential investor in Jereissati, whether a beginner or expert, Jereissati Participaes' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Jereissati Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Jereissati. Basic forecasting techniques help filter out the noise by identifying Jereissati Participaes' price trends.Jereissati Participaes 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 Jereissati Participaes stock to make a market-neutral strategy. Peer analysis of Jereissati Participaes could also be used in its relative valuation, which is a method of valuing Jereissati Participaes by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Jereissati Participaes 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 Jereissati Participaes' 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 Jereissati Participaes' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Jereissati Participaes Market Strength Events
Market strength indicators help investors to evaluate how Jereissati Participaes stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Jereissati Participaes shares will generate the highest return on investment. By undertsting and applying Jereissati Participaes stock market strength indicators, traders can identify Jereissati Participaes SA entry and exit signals to maximize returns.
| Accumulation Distribution | 56797.98 | |||
| Daily Balance Of Power | 0.1207 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 26.49 | |||
| Day Typical Price | 26.53 | |||
| Price Action Indicator | 0.17 | |||
| Period Momentum Indicator | 0.07 |
Jereissati Participaes Risk Indicators
The analysis of Jereissati Participaes' 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 Jereissati Participaes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jereissati 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 | 1.09 | |||
| Semi Deviation | 2.14 | |||
| Standard Deviation | 1.7 | |||
| Variance | 2.9 | |||
| Downside Variance | 6.0 | |||
| Semi Variance | 4.58 | |||
| Expected Short fall | (1.08) |
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.