Pge Polska Pink Sheet Forecast - Simple Exponential Smoothing

PGPKY Stock  USD 4.78  0.06  1.27%   
The Simple Exponential Smoothing forecasted value of Pge Polska Energ on the next trading day is expected to be 4.78 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.60. Pge Pink Sheet Forecast is based on your current time horizon.
  
Pge Polska simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Pge Polska Energ are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Pge Polska Energ prices get older.

Pge Polska Simple Exponential Smoothing Price Forecast For the 27th of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Pge Polska Energ on the next trading day is expected to be 4.78 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.05, and the sum of the absolute errors of 4.60.
Please note that although there have been many attempts to predict Pge 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 Pge Polska's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pge Polska Pink Sheet Forecast Pattern

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Pge Polska Forecasted Value

In the context of forecasting Pge Polska'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. Pge Polska's downside and upside margins for the forecasting period are 1.12 and 8.44, respectively. We have considered Pge Polska'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
4.78
4.78
Expected Value
8.44
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Pge Polska pink sheet data series using in forecasting. Note that when a statistical model is used to represent Pge Polska 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 Criteria113.1902
BiasArithmetic mean of the errors 0.017
MADMean absolute deviation0.0767
MAPEMean absolute percentage error0.0141
SAESum of the absolute errors4.6
This simple exponential smoothing model begins by setting Pge Polska Energ forecast for the second period equal to the observation of the first period. In other words, recent Pge Polska observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Pge Polska

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pge Polska Energ. 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
1.124.788.44
Details
Intrinsic
Valuation
LowRealHigh
0.554.217.87
Details

Other Forecasting Options for Pge Polska

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

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

Pge Polska Energ 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 Pge Polska'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 Pge Polska's current price.

Pge Polska Market Strength Events

Market strength indicators help investors to evaluate how Pge Polska 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 Pge Polska shares will generate the highest return on investment. By undertsting and applying Pge Polska pink sheet market strength indicators, traders can identify Pge Polska Energ entry and exit signals to maximize returns.

Pge Polska Risk Indicators

The analysis of Pge Polska'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 Pge Polska's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pge pink sheet 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.

Additional Tools for Pge Pink Sheet Analysis

When running Pge Polska's price analysis, check to measure Pge Polska's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pge Polska is operating at the current time. Most of Pge Polska's value examination focuses on studying past and present price action to predict the probability of Pge Polska's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pge Polska's price. Additionally, you may evaluate how the addition of Pge Polska to your portfolios can decrease your overall portfolio volatility.