Blue Water Pink Sheet Forecast - Simple Moving Average

BWPC Stock  USD 0.23  0.03  15.00%   
The Simple Moving Average forecasted value of Blue Water Petroleum on the next trading day is expected to be 0.23 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.77. Blue Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Blue Water stock prices and determine the direction of Blue Water Petroleum's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Blue Water's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Blue Water 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.

Blue Water Simple Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Blue Water Petroleum on the next trading day is expected to be 0.23 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 0.77.
Please note that although there have been many attempts to predict Blue 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 Blue Water's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Blue Water Pink Sheet Forecast Pattern

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Blue Water Forecasted Value

In the context of forecasting Blue Water'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. Blue Water's downside and upside margins for the forecasting period are 0 and 11.29, respectively. We have considered Blue Water'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
0.23
0.23
Expected Value
11.29
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 Blue Water pink sheet data series using in forecasting. Note that when a statistical model is used to represent Blue Water 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 Criteria107.0936
BiasArithmetic mean of the errors -0.0015
MADMean absolute deviation0.0131
MAPEMean absolute percentage error0.0482
SAESum of the absolute errors0.77
The simple moving average model is conceptually a linear regression of the current value of Blue Water Petroleum price series against current and previous (unobserved) value of Blue Water. 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 Blue Water

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Blue Water Petroleum. 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
0.010.2311.29
Details
Intrinsic
Valuation
LowRealHigh
0.010.2111.27
Details

Other Forecasting Options for Blue Water

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

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

Blue Water Petroleum 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 Blue Water'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 Blue Water's current price.

Blue Water Market Strength Events

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

Blue Water Risk Indicators

The analysis of Blue Water'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 Blue Water's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting blue 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.

Other Information on Investing in Blue Pink Sheet

Blue Water financial ratios help investors to determine whether Blue 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 Blue with respect to the benefits of owning Blue Water security.