The Simple Exponential Smoothing forecasted value of Grounds Real Estate on the next trading day is expected to be 10,630 with a mean absolute deviation of 1,228 and the sum of the absolute errors of 73,665. Investors can use prediction functions to forecast Grounds Real's stock prices and determine the direction of Grounds Real Estate's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Grounds Real's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Grounds
Grounds Real simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Grounds Real Estate are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Grounds Real Estate prices get older.
Grounds Real Simple Exponential Smoothing Price Forecast For the 16th of January 2025
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Grounds Real Estate on the next trading day is expected to be 10,630 with a mean absolute deviation of 1,228, mean absolute percentage error of 9,183,475, and the sum of the absolute errors of 73,665.
Please note that although there have been many attempts to predict Grounds 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 Grounds Real's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Grounds Real Stock Forecast Pattern
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 Grounds Real stock data series using in forecasting. Note that when a statistical model is used to represent Grounds Real 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
132.3055
Bias
Arithmetic mean of the errors
330.1169
MAD
Mean absolute deviation
1227.7553
MAPE
Mean absolute percentage error
321.9979
SAE
Sum of the absolute errors
73665.3168
This simple exponential smoothing model begins by setting Grounds Real Estate forecast for the second period equal to the observation of the first period. In other words, recent Grounds Real observations are given relatively more weight in forecasting than the older observations.
Predictive Modules for Grounds Real
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Grounds Real Estate. 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.
Grounds Real 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 Grounds Real stock to make a market-neutral strategy. Peer analysis of Grounds Real could also be used in its relative valuation, which is a method of valuing Grounds Real by comparing valuation metrics with similar companies.
Market strength indicators help investors to evaluate how Grounds Real stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Grounds Real shares will generate the highest return on investment. By undertsting and applying Grounds Real stock market strength indicators, traders can identify Grounds Real Estate entry and exit signals to maximize returns.
The analysis of Grounds Real'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 Grounds Real's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting grounds 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.
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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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.