Propert Buil Stock Forecast - Triple Exponential Smoothing

PTBL Stock  ILS 26,700  100.00  0.38%   
The Triple Exponential Smoothing forecasted value of Propert Buil on the next trading day is expected to be 26,773 with a mean absolute deviation of 511.40 and the sum of the absolute errors of 30,684. Propert Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Propert Buil stock prices and determine the direction of Propert Buil's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Propert Buil's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for Propert Buil - 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 Propert Buil 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 Propert Buil price movement. However, neither of these exponential smoothing models address any seasonality of Propert Buil.

Propert Buil Triple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Propert Buil on the next trading day is expected to be 26,773 with a mean absolute deviation of 511.40, mean absolute percentage error of 466,018, and the sum of the absolute errors of 30,684.
Please note that although there have been many attempts to predict Propert 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 Propert Buil's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Propert Buil Stock Forecast Pattern

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Propert Buil Forecasted Value

In the context of forecasting Propert Buil'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. Propert Buil's downside and upside margins for the forecasting period are 26,770 and 26,776, respectively. We have considered Propert Buil'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
26,700
26,770
Downside
26,773
Expected Value
26,776
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 Propert Buil stock data series using in forecasting. Note that when a statistical model is used to represent Propert Buil 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 -82.093
MADMean absolute deviation511.3953
MAPEMean absolute percentage error0.0214
SAESum of the absolute errors30683.7172
As with simple exponential smoothing, in triple exponential smoothing models past Propert Buil 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 Propert Buil observations.

Predictive Modules for Propert Buil

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Propert Buil. 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
26,69726,70026,703
Details
Intrinsic
Valuation
LowRealHigh
24,96124,96329,370
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22,69525,38428,074
Details

Other Forecasting Options for Propert Buil

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

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

Propert Buil 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 Propert Buil'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 Propert Buil's current price.

Propert Buil Market Strength Events

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

Propert Buil Risk Indicators

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

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 Propert Stock

Propert Buil financial ratios help investors to determine whether Propert 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 Propert with respect to the benefits of owning Propert Buil security.