Engie SA Pink Sheet Forecast - 20 Period Moving Average

ENGQF Stock  USD 16.22  0.72  4.65%   
The 20 Period Moving Average forecasted value of Engie SA on the next trading day is expected to be 16.25 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 18.00. Engie Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Engie SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Engie SA is based on a synthetically constructed Engie SAdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Engie SA 20 Period Moving Average Price Forecast For the 3rd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Engie SA on the next trading day is expected to be 16.25 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.31, and the sum of the absolute errors of 18.00.
Please note that although there have been many attempts to predict Engie 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 Engie SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Engie SA Pink Sheet Forecast Pattern

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Engie SA Forecasted Value

In the context of forecasting Engie SA'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. Engie SA's downside and upside margins for the forecasting period are 13.80 and 18.71, respectively. We have considered Engie SA'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
16.22
16.25
Expected Value
18.71
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Engie SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Engie SA 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 Criteria80.175
BiasArithmetic mean of the errors 0.3819
MADMean absolute deviation0.4389
MAPEMean absolute percentage error0.0268
SAESum of the absolute errors17.996
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Engie SA 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Engie SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Engie 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.
Hype
Prediction
LowEstimatedHigh
13.7616.2218.68
Details
Intrinsic
Valuation
LowRealHigh
11.3913.8516.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.4916.3417.20
Details

Other Forecasting Options for Engie SA

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

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

Engie 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 Engie SA'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 Engie SA's current price.

Engie SA Market Strength Events

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

Engie SA Risk Indicators

The analysis of Engie SA'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 Engie SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting engie 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 Engie Pink Sheet

Engie SA financial ratios help investors to determine whether Engie 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 Engie with respect to the benefits of owning Engie SA security.