Ofs Credit Stock Price Prediction
| OCCI Stock | USD 7.11 0.01 0.14% |
Oversold Vs Overbought
42
Oversold | Overbought |
Quarterly Earnings Growth 4.279 | Wall Street Target Price 7.5 | Quarterly Revenue Growth 0.031 |
Using OFS Credit hype-based prediction, you can estimate the value of OFS Credit from the perspective of OFS Credit 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 OFS Credit to buy its stock at a price that has no basis in reality. In that case, they are not buying OFS 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.
OFS Credit after-hype prediction price | USD 7.11 |
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.
OFS |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of OFS Credit'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.
OFS Credit After-Hype Price Prediction Density Analysis
As far as predicting the price of OFS Credit 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 OFS Credit 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 OFS Credit, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
OFS Credit Estimiated After-Hype Price Volatility
In the context of predicting OFS Credit's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on OFS Credit's historical news coverage. OFS Credit's after-hype downside and upside margins for the prediction period are 6.10 and 8.12, respectively. We have considered OFS Credit'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
OFS Credit is not too volatile at this time. Analysis and calculation of next after-hype price of OFS Credit is based on 3 months time horizon.
OFS Credit Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as OFS Credit is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading OFS Credit 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 OFS Credit, 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 |
0.02 | 1.01 | 0.00 | 0.00 | 7 Events / Month | 11 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
7.11 | 7.11 | 0.00 |
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OFS Credit Hype Timeline
OFS Credit is now traded for 7.11. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. OFS 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at 0.02%. %. The volatility of related hype on OFS Credit is about 609.21%, with the expected price after the next announcement by competition of 7.11. The company has price-to-book ratio of 1.01. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. OFS Credit last dividend was issued on the 20th of December 2024. Given the investment horizon of 90 days the next forecasted press release will be in about 7 days. Check out OFS Credit Basic Forecasting Models to cross-verify your projections.OFS Credit Related Hype Analysis
Having access to credible news sources related to OFS Credit's direct competition is more important than ever and may enhance your ability to predict OFS Credit's future price movements. Getting to know how OFS Credit'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 OFS Credit may potentially react to the hype associated with one of its peers.
OFS Credit Additional Predictive Modules
Most predictive techniques to examine OFS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for OFS using various technical indicators. When you analyze OFS 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 OFS Credit Predictive Indicators
The successful prediction of OFS Credit 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 OFS Credit, 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 OFS Credit based on analysis of OFS Credit hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to OFS Credit's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to OFS Credit's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | PTB Ratio | 0.84 | 0.59 | 0.53 | 0.51 | Dividend Yield | 0.0461 | 0.0708 | 0.0814 | 0.084 |
Story Coverage note for OFS Credit
The number of cover stories for OFS Credit depends on current market conditions and OFS Credit's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that OFS Credit 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 OFS Credit'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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OFS Credit Short Properties
OFS Credit's future price predictability will typically decrease when OFS Credit's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of OFS Credit often depends not only on the future outlook of the potential OFS Credit'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. OFS Credit's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 11.4 M | |
| Dividends Paid | 5 M | |
| Cash And Short Term Investments | 16.8 M | |
| Forward Annual Dividend Rate | 1.38 |
Complementary Tools for OFS Stock analysis
When running OFS Credit's price analysis, check to measure OFS Credit'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 OFS Credit is operating at the current time. Most of OFS Credit's value examination focuses on studying past and present price action to predict the probability of OFS Credit's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move OFS Credit's price. Additionally, you may evaluate how the addition of OFS Credit to your portfolios can decrease your overall portfolio volatility.
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