Melbana Energy Pink Sheet Forecast - Simple Moving Average

MEOAF Stock  USD 0.02  0.00  0.00%   
The Simple Moving Average forecasted value of Melbana Energy Limited on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Melbana Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Melbana Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Melbana Energy is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Melbana Energy Simple Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Melbana Energy Limited on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Melbana 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 Melbana Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Melbana Energy Pink Sheet Forecast Pattern

Backtest Melbana EnergyMelbana Energy Price PredictionBuy or Sell Advice 

Melbana Energy Forecasted Value

In the context of forecasting Melbana 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. Melbana Energy's downside and upside margins for the forecasting period are 0.02 and 0.02, respectively. We have considered Melbana 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
0.02
0.02
Expected Value
0.02
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Melbana Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Melbana 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
The simple moving average model is conceptually a linear regression of the current value of Melbana Energy Limited price series against current and previous (unobserved) value of Melbana Energy. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Melbana 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 Melbana 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
0.020.020.02
Details
Intrinsic
Valuation
LowRealHigh
0.020.020.02
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Melbana Energy. Your research has to be compared to or analyzed against Melbana Energy's peers to derive any actionable benefits. When done correctly, Melbana Energy'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 Melbana Energy.

Other Forecasting Options for Melbana Energy

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

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

Melbana 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 Melbana 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 Melbana Energy's current price.

Melbana Energy Market Strength Events

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

Currently Active Assets on Macroaxis

Other Information on Investing in Melbana Pink Sheet

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