Opera Stock Price Prediction
| OPRA Stock | USD 14.49 0.13 0.91% |
Oversold Vs Overbought
58
Oversold | Overbought |
Opera stock price prediction is an act of determining the future value of Opera shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Opera's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Opera and does not consider all of the tangible or intangible factors available from Opera's fundamental data. We analyze noise-free headlines and recent hype associated with Opera, which may create opportunities for some arbitrage if properly timed.
Below are the key fundamental drivers impacting Opera's stock price prediction:Quarterly Earnings Growth 5.191 | EPS Estimate Current Year 1.02 | EPS Estimate Next Year 1.25 | Wall Street Target Price 20.58 | Quarterly Revenue Growth 0.174 |
It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Opera based on different types of headlines from major news networks to social media. The Opera stock price prediction module provides an analysis of price elasticity to changes in media outlook on Opera over a specific investment horizon. Using Opera hype-based prediction, you can estimate the value of Opera from the perspective of Opera response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Opera using Opera's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Opera using crowd psychology based on the activity and movement of Opera's stock price.
Opera Short Interest
A significant increase or decrease in Opera's short interest from the previous month could be a good indicator of investor sentiment towards Opera. Short interest can provide insight into the potential direction of Opera stock and how bullish or bearish investors feel about the market overall. An investor who is long Opera may also wish to track short interest. As short interest increases, investors should be becoming more worried about Opera and may potentially protect profits, hedge Opera with its derivative instruments, or be ready for some potential downside.
200 Day MA 13.6635 | Short Percent 0.8949 | Short Ratio 2.24 | Shares Short Prior Month 3.7 M | 50 Day MA 14.1432 |
Opera Hype to Price Pattern
Investor biases related to Opera's public news can be used to forecast risks associated with an investment in Opera. The trend in average sentiment can be used to explain how an investor holding Opera can time the market purely based on public headlines and social activities around Opera. 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 Opera's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Opera.
Opera Implied Volatility | 83.58 |
Opera's implied volatility exposes the market's sentiment of Opera stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Opera's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Opera stock will not fluctuate a lot when Opera's options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in Opera. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Opera to buy its stock at a price that has no basis in reality. In that case, they are not buying Opera 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.
Opera after-hype prediction price | USD 14.85 |
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.
Prediction based on Rule 16 of the current Opera contract
Based on the Rule 16, the options market is currently suggesting that Opera will have an average daily up or down price movement of about 5.22% per day over the life of the 2024-05-17 option contract. With Opera trading at USD 14.49, that is roughly USD 0.76 . If you think that the market is fully incorporating Opera's daily price movement you should consider acquiring Opera options at the current volatility level of 83.58%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Opera |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Opera's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Opera After-Hype Price Prediction Density Analysis
As far as predicting the price of Opera 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 Opera 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 Opera, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Opera Estimiated After-Hype Price Volatility
In the context of predicting Opera's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Opera's historical news coverage. Opera's after-hype downside and upside margins for the prediction period are 10.74 and 18.96, respectively. We have considered Opera'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
Opera is not too volatile at this time. Analysis and calculation of next after-hype price of Opera is based on 3 months time horizon.
Opera Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Opera is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Opera 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 Opera, 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 |
0.60 | 4.11 | 0.36 | 0.86 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
14.49 | 14.85 | 2.48 |
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Opera Hype Timeline
Opera is now traded for 14.49. The entity has historical hype elasticity of 0.36, and average elasticity to hype of competition of -0.86. Opera is projected to increase in value after the next headline, with the price projected to jump to 14.85 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is projected to be 2.48%, whereas the daily expected return is now at 0.6%. The volatility of related hype on Opera is about 287.41%, with the expected price after the next announcement by competition of 13.63. The company currently holds 10.55 M in liabilities with Debt to Equity (D/E) ratio of 0.0, which may suggest the company is not taking enough advantage from borrowing. Given the investment horizon of 90 days the next projected press release will be in about 8 days. Check out Opera Basic Forecasting Models to cross-verify your projections.Opera Related Hype Analysis
Having access to credible news sources related to Opera's direct competition is more important than ever and may enhance your ability to predict Opera's future price movements. Getting to know how Opera'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 Opera may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SNAP | Snap Inc | 0.35 | 10 per month | 0.00 | (0.1) | 4.77 | (4.30) | 42.05 | |
| FVRR | Fiverr International | (1.02) | 10 per month | 0.00 | (0.11) | 7.35 | (5.17) | 23.41 | |
| SPOT | Spotify Technology SA | (12.20) | 8 per month | 1.27 | 0.21 | 3.88 | (2.70) | 12.85 | |
| BIDU | Baidu Inc | (2.83) | 10 per month | 0.00 | (0.06) | 3.41 | (3.17) | 15.55 | |
| PINS | (1.04) | 10 per month | 0.00 | (0.12) | 3.19 | (3.35) | 15.23 | ||
| META | Meta Platforms | 1.65 | 6 per month | 1.44 | 0.11 | 3.27 | (2.48) | 24.74 | |
| GOOG | Alphabet Inc Class C | 2.45 | 8 per month | 2.09 | 0.02 | 2.19 | (2.81) | 9.54 | |
| GOOGL | Alphabet Inc Class A | (0.23) | 7 per month | 2.07 | 0.02 | 2.27 | (2.76) | 9.63 | |
| TCEHY | Tencent Holdings Ltd | 0.00 | 0 per month | 1.40 | 0.07 | 3.85 | (2.79) | 9.52 |
Opera Additional Predictive Modules
Most predictive techniques to examine Opera price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Opera using various technical indicators. When you analyze Opera 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 Opera Predictive Indicators
The successful prediction of Opera 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 Opera, 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 Opera based on analysis of Opera hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Opera's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Opera's related companies. | 2023 | 2024 (projected) | Dividend Yield | 0.0225 | 0.0323 | Price To Sales Ratio | 2.97 | 5.07 |
Story Coverage note for Opera
The number of cover stories for Opera depends on current market conditions and Opera's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Opera 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 Opera'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
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Opera Short Properties
Opera's future price predictability will typically decrease when Opera's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Opera often depends not only on the future outlook of the potential Opera'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. Opera's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 90.9 M | |
| Cash And Short Term Investments | 93.9 M |
Check out Opera Basic Forecasting Models to cross-verify your projections. For information on how to trade Opera Stock refer to our How to Trade Opera Stock guide.You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Complementary Tools for Opera Stock analysis
When running Opera's price analysis, check to measure Opera'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 Opera is operating at the current time. Most of Opera's value examination focuses on studying past and present price action to predict the probability of Opera's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Opera's price. Additionally, you may evaluate how the addition of Opera to your portfolios can decrease your overall portfolio volatility.
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Is Opera's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Opera. If investors know Opera will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Opera listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 5.191 | Dividend Share 0.8 | Earnings Share 1.86 | Revenue Per Share 4.446 | Quarterly Revenue Growth 0.174 |
The market value of Opera is measured differently than its book value, which is the value of Opera that is recorded on the company's balance sheet. Investors also form their own opinion of Opera's value that differs from its market value or its book value, called intrinsic value, which is Opera's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Opera's market value can be influenced by many factors that don't directly affect Opera's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Opera's value and its price as these two are different measures arrived at by different means. Investors typically determine if Opera is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Opera's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.