Edp Energias De Stock Price Prediction
| EDPFY Stock | USD 32.72 0.20 0.61% |
Oversold Vs Overbought
28
Oversold | Overbought |
Using EDP Energias hype-based prediction, you can estimate the value of EDP Energias de from the perspective of EDP Energias response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in EDP Energias to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying EDP because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
EDP Energias after-hype prediction price | USD 32.72 |
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.
EDP |
EDP Energias After-Hype Price Prediction Density Analysis
As far as predicting the price of EDP Energias 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 EDP Energias 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 EDP Energias, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
EDP Energias Estimiated After-Hype Price Volatility
In the context of predicting EDP Energias' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on EDP Energias' historical news coverage. EDP Energias' after-hype downside and upside margins for the prediction period are 31.03 and 34.41, respectively. We have considered EDP Energias' 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
EDP Energias is very steady at this time. Analysis and calculation of next after-hype price of EDP Energias de is based on 3 months time horizon.
EDP Energias Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as EDP Energias is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading EDP Energias 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 EDP Energias, 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 |
0.52 | 1.69 | 0.00 | 0.01 | 0 Events / Month | 4 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
32.72 | 32.72 | 0.00 |
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EDP Energias Hype Timeline
EDP Energias de is currently traded for 32.72. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. EDP is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at -0.52%. %. The volatility of related hype on EDP Energias is about 6337.5%, with the expected price after the next announcement by competition of 32.71. The book value of the company was currently reported as 17.4. The company has Price/Earnings To Growth (PEG) ratio of 1.6. EDP Energias de last dividend was issued on the 26th of April 2022. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out EDP Energias Basic Forecasting Models to cross-verify your projections.EDP Energias Related Hype Analysis
Having access to credible news sources related to EDP Energias' direct competition is more important than ever and may enhance your ability to predict EDP Energias' future price movements. Getting to know how EDP Energias' 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 EDP Energias may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CIG-C | Energy of Minas | 0.06 | 3 per month | 1.63 | 0.02 | 3.33 | (3.01) | 11.70 | |
| AVA | Avista | 0.05 | 8 per month | 0.00 | (0.08) | 1.63 | (1.84) | 5.84 | |
| ALE | Allete Inc | (0.31) | 9 per month | 0.18 | (0.03) | 0.81 | (0.39) | 1.40 | |
| AES | The AES | (0.21) | 10 per month | 0.00 | (0.25) | 3.26 | (3.87) | 12.59 | |
| CIG | Companhia Energetica de | 0.07 | 3 per month | 0.00 | (0.08) | 3.68 | (3.55) | 12.45 | |
| BKH | Black Hills | 0.18 | 8 per month | 0.00 | (0.06) | 2.11 | (1.85) | 6.51 |
EDP Energias Additional Predictive Modules
Most predictive techniques to examine EDP price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for EDP using various technical indicators. When you analyze EDP 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Statistic Functions | ||
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| Volume Indicators |
About EDP Energias Predictive Indicators
The successful prediction of EDP Energias stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as EDP Energias de, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of EDP Energias based on analysis of EDP Energias hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to EDP Energias's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to EDP Energias's related companies.
Story Coverage note for EDP Energias
The number of cover stories for EDP Energias depends on current market conditions and EDP Energias' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that EDP Energias 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 EDP Energias' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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EDP Energias Short Properties
EDP Energias' future price predictability will typically decrease when EDP Energias' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of EDP Energias de often depends not only on the future outlook of the potential EDP Energias' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. EDP Energias' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 394.7 M | |
| Cash And Short Term Investments | 3.2 B |
Additional Tools for EDP Pink Sheet Analysis
When running EDP Energias' price analysis, check to measure EDP Energias' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy EDP Energias is operating at the current time. Most of EDP Energias' value examination focuses on studying past and present price action to predict the probability of EDP Energias' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EDP Energias' price. Additionally, you may evaluate how the addition of EDP Energias to your portfolios can decrease your overall portfolio volatility.