DOLFINES Stock Forecast - Triple Exponential Smoothing

JPZ0 Stock   1.35  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of DOLFINES SA EO on the next trading day is expected to be 1.33 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.83. Investors can use prediction functions to forecast DOLFINES's stock prices and determine the direction of DOLFINES SA EO'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 DOLFINES's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Risk vs Return Analysis 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.
  
Triple exponential smoothing for DOLFINES - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When DOLFINES prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in DOLFINES price movement. However, neither of these exponential smoothing models address any seasonality of DOLFINES SA EO.

DOLFINES Triple Exponential Smoothing Price Forecast For the 5th of January

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of DOLFINES SA EO on the next trading day is expected to be 1.33 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.18, and the sum of the absolute errors of 14.83.
Please note that although there have been many attempts to predict DOLFINES 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 DOLFINES's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DOLFINES Stock Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of DOLFINES stock data series using in forecasting. Note that when a statistical model is used to represent DOLFINES 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0536
MADMean absolute deviation0.2514
MAPEMean absolute percentage error0.2627
SAESum of the absolute errors14.8336
As with simple exponential smoothing, in triple exponential smoothing models past DOLFINES observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older DOLFINES SA EO observations.

Predictive Modules for DOLFINES

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DOLFINES SA EO. 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.

DOLFINES 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 DOLFINES stock to make a market-neutral strategy. Peer analysis of DOLFINES could also be used in its relative valuation, which is a method of valuing DOLFINES by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

DOLFINES Market Strength Events

Market strength indicators help investors to evaluate how DOLFINES stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DOLFINES shares will generate the highest return on investment. By undertsting and applying DOLFINES stock market strength indicators, traders can identify DOLFINES SA EO entry and exit signals to maximize returns.

DOLFINES Risk Indicators

The analysis of DOLFINES'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 DOLFINES's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dolfines 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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