McPhy Energy Pink Sheet Forecast - Naive Prediction

MPHYF Stock  USD 0.0001  0.23  99.96%   
The Naive Prediction forecasted value of McPhy Energy SA on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.76. McPhy Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of McPhy Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for McPhy Energy is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of McPhy Energy SA value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

McPhy Energy Naive Prediction Price Forecast For the 4th of August

Given 90 days horizon, the Naive Prediction forecasted value of McPhy Energy SA on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.76.
Please note that although there have been many attempts to predict McPhy 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 McPhy Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

McPhy Energy Pink Sheet Forecast Pattern

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McPhy Energy Forecasted Value

In the context of forecasting McPhy 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. McPhy Energy's downside and upside margins for the forecasting period are 0.000001 and 30.24, respectively. We have considered McPhy 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
0.0001
0.000001
Downside
0.02
Expected Value
30.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of McPhy Energy pink sheet data series using in forecasting. Note that when a statistical model is used to represent McPhy 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 Criteria113.7806
BiasArithmetic mean of the errors None
MADMean absolute deviation0.078
MAPEMean absolute percentage error33.835
SAESum of the absolute errors4.7601
This model is not at all useful as a medium-long range forecasting tool of McPhy Energy SA. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict McPhy Energy. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for McPhy 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 McPhy Energy SA. 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 McPhy 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
0.000.000130.21
Details
Intrinsic
Valuation
LowRealHigh
0.000.00009630.21
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.050.160.37
Details

Other Forecasting Options for McPhy Energy

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

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

McPhy Energy SA 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 McPhy 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 McPhy Energy's current price.

McPhy Energy Market Strength Events

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

McPhy Energy Risk Indicators

The analysis of McPhy 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 McPhy Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mcphy 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.

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Other Information on Investing in McPhy Pink Sheet

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