Alpha Cognition Common Stock Price Prediction
| ACOG Stock | 5.03 0.10 2.03% |
Oversold Vs Overbought
0
Oversold | Overbought |
Using Alpha Cognition hype-based prediction, you can estimate the value of Alpha Cognition Common from the perspective of Alpha Cognition 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 Alpha Cognition to buy its stock at a price that has no basis in reality. In that case, they are not buying Alpha 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.
Alpha Cognition after-hype prediction price | USD 4.7 |
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.
Alpha |
Alpha Cognition After-Hype Price Prediction Density Analysis
As far as predicting the price of Alpha Cognition 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 Alpha Cognition 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 Alpha Cognition, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Alpha Cognition Estimiated After-Hype Price Volatility
In the context of predicting Alpha Cognition's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Alpha Cognition's historical news coverage. Alpha Cognition's after-hype downside and upside margins for the prediction period are 0.24 and 12.57, respectively. We have considered Alpha Cognition'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
Alpha Cognition is very risky at this time. Analysis and calculation of next after-hype price of Alpha Cognition Common is based on 3 months time horizon.
Alpha Cognition Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Alpha Cognition is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Alpha Cognition 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 Alpha Cognition, 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 |
1.35 | 7.89 | 0.31 | 0.06 | 4 Events / Month | 5 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
5.03 | 4.70 | 6.56 |
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Alpha Cognition Hype Timeline
Alpha Cognition Common is presently traded for 5.03. The entity has historical hype elasticity of -0.31, and average elasticity to hype of competition of -0.06. Alpha is estimated to decline in value after the next headline, with the price expected to drop to 4.7. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -6.56%, whereas the daily expected return is presently at -1.35%. The volatility of related hype on Alpha Cognition is about 19044.83%, with the expected price after the next announcement by competition of 4.97. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be in about 4 days. Check out Alpha Cognition Basic Forecasting Models to cross-verify your projections.Alpha Cognition Related Hype Analysis
Having access to credible news sources related to Alpha Cognition's direct competition is more important than ever and may enhance your ability to predict Alpha Cognition's future price movements. Getting to know how Alpha Cognition'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 Alpha Cognition may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DIT | AMCON Distributing | 0.68 | 5 per month | 3.08 | 0.01 | 7.69 | (6.21) | 20.23 | |
| ASUR | Asure Software | 0.19 | 9 per month | 3.03 | (0) | 5.27 | (3.76) | 19.48 | |
| ACI | Albertsons Companies | 0.46 | 8 per month | 1.13 | 0.04 | 2.60 | (2.02) | 7.55 | |
| WDC | Western Digital | 0.77 | 9 per month | 0.00 | (0.06) | 4.61 | (3.20) | 12.93 | |
| FTLF | FitLife Brands, Common | 0.71 | 7 per month | 0.00 | (0.03) | 3.35 | (4.46) | 14.26 | |
| ADI | Analog Devices | (3.43) | 8 per month | 0.00 | (0.09) | 2.33 | (2.94) | 7.03 | |
| VLGEA | Village Super Market | 0.33 | 8 per month | 1.93 | (0.01) | 2.97 | (3.17) | 17.87 |
Alpha Cognition Additional Predictive Modules
Most predictive techniques to examine Alpha price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Alpha using various technical indicators. When you analyze Alpha 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 Alpha Cognition Predictive Indicators
The successful prediction of Alpha Cognition 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 Alpha Cognition Common, 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 Alpha Cognition based on analysis of Alpha Cognition hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Alpha Cognition's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Alpha Cognition's related companies.
Story Coverage note for Alpha Cognition
The number of cover stories for Alpha Cognition depends on current market conditions and Alpha Cognition's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Alpha Cognition 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 Alpha Cognition'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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Complementary Tools for Alpha Stock analysis
When running Alpha Cognition's price analysis, check to measure Alpha Cognition'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 Alpha Cognition is operating at the current time. Most of Alpha Cognition's value examination focuses on studying past and present price action to predict the probability of Alpha Cognition's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alpha Cognition's price. Additionally, you may evaluate how the addition of Alpha Cognition to your portfolios can decrease your overall portfolio volatility.
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