Guardian Logistica Fund Forecast - Polynomial Regression
| GALG11 Fund | BRL 9.08 0.00 0.00% |
The Polynomial Regression forecasted value of Guardian Logistica Fundo on the next trading day is expected to be 9.08 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Guardian Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Guardian Logistica stock prices and determine the direction of Guardian Logistica Fundo's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Guardian Logistica's historical fundamentals, such as revenue growth or operating cash flow patterns.
Guardian |
Guardian Logistica Polynomial Regression Price Forecast For the 12th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Guardian Logistica Fundo on the next trading day is expected to be 9.08 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 Guardian 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 Guardian Logistica's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Guardian Logistica Fund Forecast Pattern
Guardian Logistica Forecasted Value
In the context of forecasting Guardian Logistica'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. Guardian Logistica's downside and upside margins for the forecasting period are 9.08 and 9.08, respectively. We have considered Guardian Logistica'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 Guardian Logistica fund data series using in forecasting. Note that when a statistical model is used to represent Guardian Logistica 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 | 56.9875 |
| 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 Guardian Logistica
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Guardian Logistica Fundo. 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 Guardian Logistica
For every potential investor in Guardian, whether a beginner or expert, Guardian Logistica's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Guardian Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Guardian. Basic forecasting techniques help filter out the noise by identifying Guardian Logistica's price trends.Guardian Logistica 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 Guardian Logistica fund to make a market-neutral strategy. Peer analysis of Guardian Logistica could also be used in its relative valuation, which is a method of valuing Guardian Logistica by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Guardian Logistica Fundo 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 Guardian Logistica'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 Guardian Logistica's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Guardian Logistica Market Strength Events
Market strength indicators help investors to evaluate how Guardian Logistica fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Guardian Logistica shares will generate the highest return on investment. By undertsting and applying Guardian Logistica fund market strength indicators, traders can identify Guardian Logistica Fundo 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 Guardian Fund
Guardian Logistica financial ratios help investors to determine whether Guardian 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 Guardian with respect to the benefits of owning Guardian Logistica security.
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