Valeura Energy Pink Sheet Forecast - Simple Exponential Smoothing
| VLERF Stock | 3.87 0.17 4.59% |
Valeura |
Valeura Energy Simple Exponential Smoothing Price Forecast For the 30th of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Valeura Energy on the next trading day is expected to be 3.87 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.73.Please note that although there have been many attempts to predict Valeura 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 Valeura Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Valeura Energy Pink Sheet Forecast Pattern
Valeura Energy Forecasted Value
In the context of forecasting Valeura 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. Valeura Energy's downside and upside margins for the forecasting period are 0.06 and 7.68, respectively. We have considered Valeura 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.
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 Valeura Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Valeura 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.| AIC | Akaike Information Criteria | 112.1992 |
| Bias | Arithmetic mean of the errors | -0.0072 |
| MAD | Mean absolute deviation | 0.0955 |
| MAPE | Mean absolute percentage error | 0.0279 |
| SAE | Sum of the absolute errors | 5.73 |
Predictive Modules for Valeura 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 Valeura 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.Other Forecasting Options for Valeura Energy
For every potential investor in Valeura, whether a beginner or expert, Valeura Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Valeura Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Valeura. Basic forecasting techniques help filter out the noise by identifying Valeura Energy's price trends.Valeura 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 Valeura Energy pink sheet to make a market-neutral strategy. Peer analysis of Valeura Energy could also be used in its relative valuation, which is a method of valuing Valeura Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Valeura 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 Valeura 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 Valeura Energy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Valeura Energy Market Strength Events
Market strength indicators help investors to evaluate how Valeura 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 Valeura Energy shares will generate the highest return on investment. By undertsting and applying Valeura Energy pink sheet market strength indicators, traders can identify Valeura Energy entry and exit signals to maximize returns.
Valeura Energy Risk Indicators
The analysis of Valeura Energy'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 Valeura Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting valeura 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.
| Mean Deviation | 2.81 | |||
| Standard Deviation | 3.8 | |||
| Variance | 14.44 |
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.