The Stephan Co Price Prediction
SPCODelisted Stock | USD 1.64 0.06 3.53% |
Oversold Vs Overbought
0
Oversold | Overbought |
Using Stephan hype-based prediction, you can estimate the value of The Stephan Co from the perspective of Stephan 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 Stephan to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Stephan 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.
Stephan after-hype prediction price | USD 1.64 |
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.
Stephan |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stephan'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.
Stephan After-Hype Price Prediction Density Analysis
As far as predicting the price of Stephan 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 Stephan 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 Stephan, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Stephan Estimiated After-Hype Price Volatility
In the context of predicting Stephan's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Stephan's historical news coverage. Stephan's after-hype downside and upside margins for the prediction period are 1.64 and 1.64, respectively. We have considered Stephan'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
Stephan is very steady at this time. Analysis and calculation of next after-hype price of The Stephan is based on 3 months time horizon.
Stephan Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Stephan is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Stephan 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 Stephan, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 4 Events / Month | Within a week |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.64 | 1.64 | 0.00 |
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Stephan Hype Timeline
The Stephan is at this time traded for 1.64. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Stephan 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 at this time at 0.0%. %. The volatility of related hype on Stephan is about 0.0%, with the expected price after the next announcement by competition of 1.64. The book value of the company was at this time reported as 2.56. The company recorded a loss per share of 3.56. The Stephan last dividend was issued on the 7th of March 2019. The entity had 3:2 split on the 16th of February 1993. Given the investment horizon of 90 days the next forecasted press release will be within a week. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.Stephan Related Hype Analysis
Having access to credible news sources related to Stephan's direct competition is more important than ever and may enhance your ability to predict Stephan's future price movements. Getting to know how Stephan'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 Stephan may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
LRLCY | LOreal Co ADR | 0.00 | 0 per month | 0.00 | (0.14) | 2.94 | (3.16) | 12.61 | |
UNLYF | Unilever PLC | 0.00 | 0 per month | 0.00 | (0.06) | 4.91 | (5.89) | 13.31 | |
EL | Estee Lauder Companies | (0.48) | 9 per month | 0.00 | (0.03) | 4.80 | (3.43) | 30.90 | |
CHD | Church Dwight | (0.27) | 9 per month | 0.95 | (0.05) | 1.53 | (1.74) | 6.62 | |
KMB | Kimberly Clark | (1.55) | 8 per month | 0.00 | (0.21) | 1.03 | (1.85) | 5.67 | |
CL | Colgate Palmolive | (1.11) | 6 per month | 0.00 | (0.24) | 1.30 | (2.05) | 6.33 | |
UL | Unilever PLC ADR | 0.25 | 8 per month | 0.00 | (0.25) | 1.08 | (1.31) | 6.60 | |
PG | Procter Gamble | 1.86 | 7 per month | 0.00 | (0.11) | 1.56 | (1.36) | 5.01 |
Stephan Additional Predictive Modules
Most predictive techniques to examine Stephan price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Stephan using various technical indicators. When you analyze Stephan 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 Stephan Predictive Indicators
The successful prediction of Stephan 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 The Stephan Co, 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 Stephan based on analysis of Stephan hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Stephan's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Stephan's related companies.
Story Coverage note for Stephan
The number of cover stories for Stephan depends on current market conditions and Stephan's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Stephan 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 Stephan'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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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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Stephan Short Properties
Stephan's future price predictability will typically decrease when Stephan's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of The Stephan Co often depends not only on the future outlook of the potential Stephan'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. Stephan's indicators that are reflective of the short sentiment are summarized in the table below.
Dividends Paid | 591 K | |
Forward Annual Dividend Rate | 0.3 |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Other Consideration for investing in Stephan Pink Sheet
If you are still planning to invest in The Stephan check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Stephan's history and understand the potential risks before investing.
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