Energy Of Minas Stock Price Prediction
CIG-C Stock | USD 2.49 0.04 1.63% |
Oversold Vs Overbought
44
Oversold | Overbought |
Quarterly Earnings Growth 0.356 | Quarterly Revenue Growth 0.07 |
Using Energy Of hype-based prediction, you can estimate the value of Energy of Minas from the perspective of Energy Of response to recently generated media hype and the effects of current headlines on its competitors.
Energy of Minas Hype to Price Pattern
Investor biases related to Energy Of's public news can be used to forecast risks associated with an investment in Energy. The trend in average sentiment can be used to explain how an investor holding Energy can time the market purely based on public headlines and social activities around Energy of Minas. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Energy Of's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Energy Of.
The fear of missing out, i.e., FOMO, can cause potential investors in Energy Of to buy its stock at a price that has no basis in reality. In that case, they are not buying Energy 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Energy Of after-hype prediction price | USD 2.49 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Energy |
Energy Of After-Hype Price Prediction Density Analysis
As far as predicting the price of Energy Of 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 Energy Of 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 Stock prices, such as prices of Energy Of, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Energy Of Estimiated After-Hype Price Volatility
In the context of predicting Energy Of's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Energy Of's historical news coverage. Energy Of's after-hype downside and upside margins for the prediction period are 0.30 and 4.68, respectively. We have considered Energy Of'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
Energy Of is unstable at this time. Analysis and calculation of next after-hype price of Energy of Minas is based on 3 months time horizon.
Energy Of Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Energy Of is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Energy Of 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 Stock 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 Energy Of, 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 |
0.08 | 2.18 | 0.00 | 0.03 | 3 Events / Month | 6 Events / Month | In about 3 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
2.49 | 2.49 | 0.00 |
|
Energy Of Hype Timeline
Energy of Minas is currently traded for 2.49. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.03. Energy is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.08%. %. The volatility of related hype on Energy Of is about 531.71%, with the expected price after the next announcement by competition of 2.52. The company has price-to-book (P/B) ratio of 1.55. Some equities with similar Price to Book (P/B) outperform the market in the long run. Energy of Minas last dividend was issued on the 30th of September 2024. The entity had 130:100 split on the 24th of May 2024. Assuming the 90 days horizon the next estimated press release will be in about 3 days. Check out Energy Of Basic Forecasting Models to cross-verify your projections.Energy Of Related Hype Analysis
Having access to credible news sources related to Energy Of's direct competition is more important than ever and may enhance your ability to predict Energy Of's future price movements. Getting to know how Energy Of'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 Energy Of may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
ACLLF | Atco | 0.64 | 21 per month | 0.83 | (0.01) | 1.77 | (1.49) | 4.86 | |
CMNR | Commerce Energy Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
ARAO | AuraSource | 0.00 | 0 per month | 0.00 | (0.14) | 0.00 | 0.00 | 99.24 | |
AESC | AES Corp Unit | (3.04) | 1 per month | 0.00 | (0.14) | 2.19 | (2.64) | 5.69 | |
CDUAF | Canadian Utilities Limited | 0.00 | 0 per month | 1.01 | (0) | 1.78 | (1.75) | 6.70 | |
EONGY | EON SE ADR | 0.00 | 0 per month | 0.88 | 0.15 | 2.83 | (1.56) | 6.47 | |
ENGIY | Engie SA ADR | 0.00 | 0 per month | 0.00 | (0.28) | 1.48 | (1.47) | 4.85 | |
AES | The AES | (0.48) | 11 per month | 0.00 | (0.21) | 2.73 | (3.87) | 18.47 | |
SRE | Sempra Energy | 1.57 | 8 per month | 0.74 | 0.09 | 1.78 | (1.62) | 9.21 | |
ELP | Companhia Paranaense de | (0.03) | 6 per month | 0.00 | (0.21) | 2.94 | (2.71) | 10.39 | |
MNTK | Montauk Renewables | (0.02) | 8 per month | 4.74 | (0) | 4.75 | (5.22) | 25.57 | |
NWE | NorthWestern | (0.67) | 9 per month | 1.04 | (0.02) | 1.61 | (2.04) | 5.30 | |
OTTR | Otter Tail | 7.36 | 7 per month | 0.00 | (0.15) | 2.26 | (3.54) | 9.03 |
Energy Of Additional Predictive Modules
Most predictive techniques to examine Energy price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Energy using various technical indicators. When you analyze Energy 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 | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About Energy Of Predictive Indicators
The successful prediction of Energy Of 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 Energy of Minas, 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 Energy Of based on analysis of Energy Of hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Energy Of's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Energy Of's related companies. 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0829 | 0.11 | 0.0731 | 0.071 | Price To Sales Ratio | 0.51 | 0.55 | 0.68 | 0.64 |
Story Coverage note for Energy Of
The number of cover stories for Energy Of depends on current market conditions and Energy Of's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Energy Of 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 Energy Of's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Energy Of Short Properties
Energy Of's future price predictability will typically decrease when Energy Of's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Energy of Minas often depends not only on the future outlook of the potential Energy Of's 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. Energy Of's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 2.9 B | |
Cash And Short Term Investments | 3.1 B |
Complementary Tools for Energy Stock analysis
When running Energy Of's price analysis, check to measure Energy Of's 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 Energy Of is operating at the current time. Most of Energy Of's value examination focuses on studying past and present price action to predict the probability of Energy Of's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Of's price. Additionally, you may evaluate how the addition of Energy Of to your portfolios can decrease your overall portfolio volatility.
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |