PT Boston Stock Forecast - Triple Exponential Smoothing

SOFA Stock  IDR 36.00  3.00  9.09%   
The Triple Exponential Smoothing forecasted value of PT Boston Furniture on the next trading day is expected to be 37.73 with a mean absolute deviation of 0.53 and the sum of the absolute errors of 32.01. SOFA Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for PT Boston - 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 PT Boston 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 PT Boston price movement. However, neither of these exponential smoothing models address any seasonality of PT Boston Furniture.

PT Boston Triple Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of PT Boston Furniture on the next trading day is expected to be 37.73 with a mean absolute deviation of 0.53, mean absolute percentage error of 0.67, and the sum of the absolute errors of 32.01.
Please note that although there have been many attempts to predict SOFA 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 PT Boston's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PT Boston Stock Forecast Pattern

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PT Boston Forecasted Value

In the context of forecasting PT Boston'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. PT Boston's downside and upside margins for the forecasting period are 33.93 and 41.54, respectively. We have considered PT Boston'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.
Market Value
36.00
37.73
Expected Value
41.54
Upside

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 PT Boston stock data series using in forecasting. Note that when a statistical model is used to represent PT Boston 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 -0.1261
MADMean absolute deviation0.5336
MAPEMean absolute percentage error0.0239
SAESum of the absolute errors32.0146
As with simple exponential smoothing, in triple exponential smoothing models past PT Boston 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 PT Boston Furniture observations.

Predictive Modules for PT Boston

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PT Boston Furniture. 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.
Hype
Prediction
LowEstimatedHigh
32.1936.0039.81
Details
Intrinsic
Valuation
LowRealHigh
21.7525.5639.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.7227.2035.68
Details

Other Forecasting Options for PT Boston

For every potential investor in SOFA, whether a beginner or expert, PT Boston's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SOFA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SOFA. Basic forecasting techniques help filter out the noise by identifying PT Boston's price trends.

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

PT Boston Furniture 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 PT Boston'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 PT Boston's current price.

PT Boston Market Strength Events

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

PT Boston Risk Indicators

The analysis of PT Boston'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 PT Boston's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sofa 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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Other Information on Investing in SOFA Stock

PT Boston financial ratios help investors to determine whether SOFA Stock 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 SOFA with respect to the benefits of owning PT Boston security.