McPhy Energy Stock Forecast - Polynomial Regression
| M6P Stock | EUR 1.01 0.03 2.88% |
The Polynomial Regression forecasted value of McPhy Energy SA on the next trading day is expected to be 1.00 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.41. McPhy Stock 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.
McPhy |
McPhy Energy Polynomial Regression Price Forecast For the 27th of February
Given 90 days horizon, the Polynomial Regression forecasted value of McPhy Energy SA on the next trading day is expected to be 1.00 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.41.Please note that although there have been many attempts to predict McPhy Stock 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 Stock Forecast Pattern
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McPhy Energy Forecasted Value
In the context of forecasting McPhy Energy's Stock 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 0.01 and 7.65, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of McPhy Energy stock data series using in forecasting. Note that when a statistical model is used to represent McPhy Energy stock, 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 | 113.1547 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0559 |
| MAPE | Mean absolute percentage error | 0.0484 |
| SAE | Sum of the absolute errors | 3.4104 |
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 stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 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 Stock 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 stock 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 stock 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
McPhy Energy Market Strength Events
Market strength indicators help investors to evaluate how McPhy Energy stock 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 stock market strength indicators, traders can identify McPhy Energy SA entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 1.01 | |||
| Day Typical Price | 1.01 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.03) | |||
| Relative Strength Index | 44.18 |
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 stock 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 | 4.07 | |||
| Standard Deviation | 6.9 | |||
| Variance | 47.57 |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in McPhy Stock
McPhy Energy financial ratios help investors to determine whether McPhy Stock 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.