Log In Stock Forecast - Simple Exponential Smoothing
| LOGN3 Stock | BRL 20.00 0.27 1.37% |
The Simple Exponential Smoothing forecasted value of Log In Logstica Intermodal on the next trading day is expected to be 19.99 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 44.27. Log Stock Forecast is based on your current time horizon.
Log |
Log In Simple Exponential Smoothing Price Forecast For the 16th of December 2024
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Log In Logstica Intermodal on the next trading day is expected to be 19.99 with a mean absolute deviation of 0.74, mean absolute percentage error of 1.01, and the sum of the absolute errors of 44.27.Please note that although there have been many attempts to predict Log 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 Log In's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Log In Stock Forecast Pattern
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Log In Forecasted Value
In the context of forecasting Log In'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. Log In's downside and upside margins for the forecasting period are 16.57 and 23.41, respectively. We have considered Log In'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Log In stock data series using in forecasting. Note that when a statistical model is used to represent Log In 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 | 116.2805 |
| Bias | Arithmetic mean of the errors | 0.3409 |
| MAD | Mean absolute deviation | 0.7379 |
| MAPE | Mean absolute percentage error | 0.0272 |
| SAE | Sum of the absolute errors | 44.2714 |
Predictive Modules for Log In
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Log In Logstica. 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 Log In
For every potential investor in Log, whether a beginner or expert, Log In's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Log Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Log. Basic forecasting techniques help filter out the noise by identifying Log In's price trends.Log In 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 Log In stock to make a market-neutral strategy. Peer analysis of Log In could also be used in its relative valuation, which is a method of valuing Log In by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Log In Logstica 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 Log In'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 Log In's current price.| Cycle Indicators | ||
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Log In Market Strength Events
Market strength indicators help investors to evaluate how Log In stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Log In shares will generate the highest return on investment. By undertsting and applying Log In stock market strength indicators, traders can identify Log In Logstica Intermodal entry and exit signals to maximize returns.
Log In Risk Indicators
The analysis of Log In'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 Log In's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting log 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 | 2.74 | |||
| Standard Deviation | 3.56 | |||
| Variance | 12.68 |
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.
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.Additional Tools for Log Stock Analysis
When running Log In's price analysis, check to measure Log In'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 Log In is operating at the current time. Most of Log In's value examination focuses on studying past and present price action to predict the probability of Log In's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Log In's price. Additionally, you may evaluate how the addition of Log In to your portfolios can decrease your overall portfolio volatility.