Eni SpA Pink Sheet Forecast - Simple Moving Average
| EIPAF Stock | USD 20.10 0.96 5.02% |
The Simple Moving Average forecasted value of Eni SpA on the next trading day is expected to be 20.10 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.67. Eni Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Eni SpA's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of Eni SpA's share price is below 20 suggesting that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Eni SpA hype-based prediction, you can estimate the value of Eni SpA from the perspective of Eni SpA response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Eni SpA on the next trading day is expected to be 20.10 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.67. Eni SpA after-hype prediction price | USD 19.9 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Eni |
Eni SpA Additional Predictive Modules
Most predictive techniques to examine Eni price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Eni using various technical indicators. When you analyze Eni charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Eni SpA Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Eni SpA on the next trading day is expected to be 20.10 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.20, and the sum of the absolute errors of 16.67.Please note that although there have been many attempts to predict Eni 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 Eni SpA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Eni SpA Pink Sheet Forecast Pattern
| Backtest Eni SpA | Eni SpA Price Prediction | Buy or Sell Advice |
Eni SpA Forecasted Value
In the context of forecasting Eni SpA'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. Eni SpA's downside and upside margins for the forecasting period are 17.75 and 22.45, respectively. We have considered Eni SpA'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Eni SpA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Eni SpA 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.| AIC | Akaike Information Criteria | 112.8204 |
| Bias | Arithmetic mean of the errors | -0.0786 |
| MAD | Mean absolute deviation | 0.2826 |
| MAPE | Mean absolute percentage error | 0.0149 |
| SAE | Sum of the absolute errors | 16.675 |
Predictive Modules for Eni SpA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eni SpA. 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.Eni SpA After-Hype Price Prediction Density Analysis
As far as predicting the price of Eni SpA at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Eni SpA or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Eni SpA, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Eni SpA Estimiated After-Hype Price Volatility
In the context of predicting Eni SpA's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Eni SpA's historical news coverage. Eni SpA's after-hype downside and upside margins for the prediction period are 17.55 and 22.25, respectively. We have considered Eni SpA's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Eni SpA is not too volatile at this time. Analysis and calculation of next after-hype price of Eni SpA is based on 3 months time horizon.
Eni SpA Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Eni SpA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Eni SpA backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Eni SpA, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.31 | 2.35 | 0.20 | 1.51 | 7 Events / Month | 10 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
20.10 | 19.90 | 1.00 |
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Eni SpA Hype Timeline
Eni SpA is currently traded for 20.10. The entity has historical hype elasticity of -0.2, and average elasticity to hype of competition of 1.51. Eni is forecasted to decline in value after the next headline, with the price expected to drop to 19.9. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -1.0%, whereas the daily expected return is currently at 0.31%. The volatility of related hype on Eni SpA is about 48.23%, with the expected price after the next announcement by competition of 21.61. About 31.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.82. Some equities with similar Price to Book (P/B) outperform the market in the long run. Eni SpA has Price/Earnings To Growth (PEG) ratio of 1.9. The entity recorded earning per share (EPS) of 5.06. The firm last dividend was issued on the 21st of November 2022. Assuming the 90 days horizon the next forecasted press release will be in about 7 days. Check out Historical Fundamental Analysis of Eni SpA to cross-verify your projections.Eni SpA Related Hype Analysis
Having access to credible news sources related to Eni SpA's direct competition is more important than ever and may enhance your ability to predict Eni SpA's future price movements. Getting to know how Eni SpA's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Eni SpA may potentially react to the hype associated with one of its peers.
Other Forecasting Options for Eni SpA
For every potential investor in Eni, whether a beginner or expert, Eni SpA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eni Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eni. Basic forecasting techniques help filter out the noise by identifying Eni SpA's price trends.View Eni SpA Related Equities
| Risk & Return | Correlation |
Eni SpA Market Strength Events
Market strength indicators help investors to evaluate how Eni SpA 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 Eni SpA shares will generate the highest return on investment. By undertsting and applying Eni SpA pink sheet market strength indicators, traders can identify Eni SpA entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.05 | |||
| Day Median Price | 20.1 | |||
| Day Typical Price | 20.1 | |||
| Price Action Indicator | 0.48 | |||
| Period Momentum Indicator | 0.96 |
Eni SpA Risk Indicators
The analysis of Eni SpA'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 Eni SpA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eni 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.
| Mean Deviation | 1.42 | |||
| Semi Deviation | 1.99 | |||
| Standard Deviation | 2.5 | |||
| Variance | 6.26 | |||
| Downside Variance | 19.83 | |||
| Semi Variance | 3.96 | |||
| Expected Short fall | (2.92) |
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.
Story Coverage note for Eni SpA
The number of cover stories for Eni SpA depends on current market conditions and Eni SpA's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Eni SpA is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Eni SpA's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Other Information on Investing in Eni Pink Sheet
Eni SpA financial ratios help investors to determine whether Eni 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 Eni with respect to the benefits of owning Eni SpA security.