Getty Copper Stock Forecast - Triple Exponential Smoothing

GTC Stock  CAD 0.05  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of Getty Copper on the next trading day is expected to be 0.05 with a mean absolute deviation of  0.0005  and the sum of the absolute errors of 0.03. Getty Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Getty Copper stock prices and determine the direction of Getty Copper's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Getty Copper's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Getty Copper's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Getty Copper's systematic risk associated with finding meaningful patterns of Getty Copper fundamentals over time.
Check out Historical Fundamental Analysis of Getty Copper to cross-verify your projections.
  
At this time, Getty Copper's Total Stockholder Equity is fairly stable compared to the past year. Short and Long Term Debt is likely to climb to about 1.3 M in 2024, whereas Total Current Liabilities is likely to drop slightly above 1.2 M in 2024.
Most investors in Getty Copper cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Getty Copper's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Getty Copper's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Getty Copper - 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 Getty Copper 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 Getty Copper price movement. However, neither of these exponential smoothing models address any seasonality of Getty Copper.

Getty Copper Triple Exponential Smoothing Price Forecast For the 24th of April

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Getty Copper on the next trading day is expected to be 0.05 with a mean absolute deviation of 0.0005, mean absolute percentage error of 0.000005, and the sum of the absolute errors of 0.03.
Please note that although there have been many attempts to predict Getty 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 Getty Copper's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Getty Copper Stock Forecast Pattern

Backtest Getty CopperGetty Copper Price PredictionBuy or Sell Advice 

Getty Copper Forecasted Value

In the context of forecasting Getty Copper'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. Getty Copper's downside and upside margins for the forecasting period are 0.0005 and 4.65, respectively. We have considered Getty Copper'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
0.05
0.0005
Downside
0.05
Expected Value
4.65
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 Getty Copper stock data series using in forecasting. Note that when a statistical model is used to represent Getty Copper 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 -2.0E-4
MADMean absolute deviation5.0E-4
MAPEMean absolute percentage error0.0094
SAESum of the absolute errors0.03
As with simple exponential smoothing, in triple exponential smoothing models past Getty Copper 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 Getty Copper observations.

Predictive Modules for Getty Copper

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Getty Copper. 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 Getty Copper'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.
Hype
Prediction
LowEstimatedHigh
0.000.054.65
Details
Intrinsic
Valuation
LowRealHigh
0.000.044.64
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Getty Copper. Your research has to be compared to or analyzed against Getty Copper's peers to derive any actionable benefits. When done correctly, Getty Copper's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Getty Copper.

Other Forecasting Options for Getty Copper

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

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

Getty Copper 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 Getty Copper'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 Getty Copper's current price.

Getty Copper Market Strength Events

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

Getty Copper Risk Indicators

The analysis of Getty Copper'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 Getty Copper's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting getty 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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Check out Historical Fundamental Analysis of Getty Copper to cross-verify your projections.
You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.

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Please note, there is a significant difference between Getty Copper's value and its price as these two are different measures arrived at by different means. Investors typically determine if Getty Copper is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Getty Copper's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.