GulfSlope Energy Pink Sheet Forecast - Triple Exponential Smoothing

GSPE Stock  USD 0.0001  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of GulfSlope Energy on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000339 and the sum of the absolute errors of 0.0002. GulfSlope Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GulfSlope Energy stock prices and determine the direction of GulfSlope Energy's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of GulfSlope Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for GulfSlope Energy - 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 GulfSlope Energy 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 GulfSlope Energy price movement. However, neither of these exponential smoothing models address any seasonality of GulfSlope Energy.

GulfSlope Energy Triple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of GulfSlope Energy on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000339, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0002.
Please note that although there have been many attempts to predict GulfSlope Pink Sheet 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 GulfSlope Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GulfSlope Energy Pink Sheet Forecast Pattern

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GulfSlope Energy Forecasted Value

In the context of forecasting GulfSlope Energy's Pink Sheet 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. GulfSlope Energy's downside and upside margins for the forecasting period are 0.000001 and 125.82, respectively. We have considered GulfSlope Energy'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
0.0001
0.000001
Downside
0.0001
Expected Value
125.82
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 GulfSlope Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent GulfSlope Energy pink sheet, 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 None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors2.0E-4
As with simple exponential smoothing, in triple exponential smoothing models past GulfSlope Energy 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 GulfSlope Energy observations.

Predictive Modules for GulfSlope Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GulfSlope Energy. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
0.000.000150.01
Details
Intrinsic
Valuation
LowRealHigh
0.000.00006350.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Other Forecasting Options for GulfSlope Energy

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

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

GulfSlope Energy Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of GulfSlope Energy'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 GulfSlope Energy's current price.

GulfSlope Energy Market Strength Events

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

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 GulfSlope Pink Sheet

GulfSlope Energy financial ratios help investors to determine whether GulfSlope Pink Sheet 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 GulfSlope with respect to the benefits of owning GulfSlope Energy security.