Beijing Energy Pink Sheet Forecast - Simple Moving Average

PVLTF Stock  USD 0.04  0.00  0.00%   
The Simple Moving Average forecasted value of Beijing Energy International on the next trading day is expected to be 0.04 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Beijing Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Beijing Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Beijing 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.

Beijing Energy Simple Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Beijing Energy International on the next trading day is expected to be 0.04 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 Beijing 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 Beijing Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Beijing Energy Pink Sheet Forecast Pattern

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Beijing Energy Forecasted Value

In the context of forecasting Beijing 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. Beijing Energy's downside and upside margins for the forecasting period are 0.04 and 0.04, respectively. We have considered Beijing 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
0.04
0.04
Expected Value
0.04
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 Beijing Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent Beijing 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 Beijing Energy International price series against current and previous (unobserved) value of Beijing 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 Beijing 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 Beijing Energy Inter. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Beijing Energy'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
0.030.040.04
Details
Intrinsic
Valuation
LowRealHigh
0.030.030.04
Details

Other Forecasting Options for Beijing Energy

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

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

Beijing Energy Inter 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 Beijing 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 Beijing Energy's current price.

Beijing Energy Market Strength Events

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

Currently Active Assets on Macroaxis

Other Information on Investing in Beijing Pink Sheet

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