TotalEnergies Pink Sheet Forecast - 8 Period Moving Average

TTFNF Stock  USD 55.40  0.92  1.63%   
The 8 Period Moving Average forecasted value of TotalEnergies SE on the next trading day is expected to be 56.19 with a mean absolute deviation of 1.64 and the sum of the absolute errors of 86.90. TotalEnergies Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of TotalEnergies' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for TotalEnergies is based on an artificially constructed time series of TotalEnergies daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

TotalEnergies 8 Period Moving Average Price Forecast For the 15th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of TotalEnergies SE on the next trading day is expected to be 56.19 with a mean absolute deviation of 1.64, mean absolute percentage error of 3.82, and the sum of the absolute errors of 86.90.
Please note that although there have been many attempts to predict TotalEnergies 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 TotalEnergies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

TotalEnergies Pink Sheet Forecast Pattern

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TotalEnergies Forecasted Value

In the context of forecasting TotalEnergies' 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. TotalEnergies' downside and upside margins for the forecasting period are 54.34 and 58.03, respectively. We have considered TotalEnergies' 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
55.40
56.19
Expected Value
58.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of TotalEnergies pink sheet data series using in forecasting. Note that when a statistical model is used to represent TotalEnergies 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 Criteria104.748
BiasArithmetic mean of the errors 0.8207
MADMean absolute deviation1.6396
MAPEMean absolute percentage error0.0265
SAESum of the absolute errors86.9
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. TotalEnergies SE 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for TotalEnergies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TotalEnergies SE. 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
53.5455.4057.26
Details
Intrinsic
Valuation
LowRealHigh
51.8853.7455.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
54.4458.9663.47
Details

Other Forecasting Options for TotalEnergies

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

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 Risk & Return  Correlation

TotalEnergies SE 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 TotalEnergies' 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 TotalEnergies' current price.

TotalEnergies Market Strength Events

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

TotalEnergies Risk Indicators

The analysis of TotalEnergies' 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 TotalEnergies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting totalenergies 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 TotalEnergies Pink Sheet

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