GPT Healthcare Stock Forecast - Double Exponential Smoothing
| GPTHEALTH | 177.05 4.07 2.35% |
The Double Exponential Smoothing forecasted value of GPT Healthcare on the next trading day is expected to be 177.77 with a mean absolute deviation of 2.92 and the sum of the absolute errors of 175.21. GPT Stock Forecast is based on your current time horizon. Although GPT Healthcare's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of GPT Healthcare's systematic risk associated with finding meaningful patterns of GPT Healthcare fundamentals over time.
GPT |
GPT Healthcare Double Exponential Smoothing Price Forecast For the 30th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of GPT Healthcare on the next trading day is expected to be 177.77 with a mean absolute deviation of 2.92, mean absolute percentage error of 15.40, and the sum of the absolute errors of 175.21.Please note that although there have been many attempts to predict GPT 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 GPT Healthcare's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GPT Healthcare Stock Forecast Pattern
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GPT Healthcare Forecasted Value
In the context of forecasting GPT Healthcare'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. GPT Healthcare's downside and upside margins for the forecasting period are 175.58 and 179.96, respectively. We have considered GPT Healthcare'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of GPT Healthcare stock data series using in forecasting. Note that when a statistical model is used to represent GPT Healthcare 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.3333 |
| MAD | Mean absolute deviation | 2.9202 |
| MAPE | Mean absolute percentage error | 0.0168 |
| SAE | Sum of the absolute errors | 175.2138 |
Predictive Modules for GPT Healthcare
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GPT Healthcare. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GPT Healthcare's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for GPT Healthcare
For every potential investor in GPT, whether a beginner or expert, GPT Healthcare's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GPT Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GPT. Basic forecasting techniques help filter out the noise by identifying GPT Healthcare's price trends.GPT Healthcare 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 GPT Healthcare stock to make a market-neutral strategy. Peer analysis of GPT Healthcare could also be used in its relative valuation, which is a method of valuing GPT Healthcare by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GPT Healthcare 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 GPT Healthcare'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 GPT Healthcare's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GPT Healthcare Market Strength Events
Market strength indicators help investors to evaluate how GPT Healthcare stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GPT Healthcare shares will generate the highest return on investment. By undertsting and applying GPT Healthcare stock market strength indicators, traders can identify GPT Healthcare entry and exit signals to maximize returns.
| Accumulation Distribution | 6190.61 | |||
| Daily Balance Of Power | 0.5568 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 175.85 | |||
| Day Typical Price | 176.25 | |||
| Price Action Indicator | 3.24 | |||
| Period Momentum Indicator | 4.07 |
GPT Healthcare Risk Indicators
The analysis of GPT Healthcare'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 GPT Healthcare's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gpt 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 | 1.54 | |||
| Standard Deviation | 2.14 | |||
| Variance | 4.56 |
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 GPT Stock
GPT Healthcare financial ratios help investors to determine whether GPT 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 GPT with respect to the benefits of owning GPT Healthcare security.