SDI Logstica Fund Forecast - Polynomial Regression
| SDIL11 Fund | BRL 96.50 0.00 0.00% |
The Polynomial Regression forecasted value of SDI Logstica Rio on the next trading day is expected to be 96.50 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. SDI Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SDI Logstica stock prices and determine the direction of SDI Logstica Rio's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SDI Logstica's historical fundamentals, such as revenue growth or operating cash flow patterns.
SDI |
SDI Logstica Polynomial Regression Price Forecast For the 13th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of SDI Logstica Rio on the next trading day is expected to be 96.50 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict SDI Fund 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 SDI Logstica's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SDI Logstica Fund Forecast Pattern
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SDI Logstica Forecasted Value
In the context of forecasting SDI Logstica's Fund 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. SDI Logstica's downside and upside margins for the forecasting period are 96.50 and 96.50, respectively. We have considered SDI Logstica'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 SDI Logstica fund data series using in forecasting. Note that when a statistical model is used to represent SDI Logstica fund, 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 | -9.223372036854776E14 |
| 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 SDI Logstica
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SDI Logstica Rio. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 SDI Logstica
For every potential investor in SDI, whether a beginner or expert, SDI Logstica's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SDI Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SDI. Basic forecasting techniques help filter out the noise by identifying SDI Logstica's price trends.SDI Logstica 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 SDI Logstica fund to make a market-neutral strategy. Peer analysis of SDI Logstica could also be used in its relative valuation, which is a method of valuing SDI Logstica by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SDI Logstica Rio Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SDI Logstica'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 SDI Logstica's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SDI Logstica Market Strength Events
Market strength indicators help investors to evaluate how SDI Logstica fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SDI Logstica shares will generate the highest return on investment. By undertsting and applying SDI Logstica fund market strength indicators, traders can identify SDI Logstica Rio entry and exit signals to maximize returns.
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.Other Information on Investing in SDI Fund
SDI Logstica financial ratios help investors to determine whether SDI Fund 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 SDI with respect to the benefits of owning SDI Logstica security.
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