Can Fite Biopharma Stock Price Prediction
| CANF Stock | USD 2.20 0.10 4.76% |
Oversold Vs Overbought
34
Oversold | Overbought |
EPS Estimate Current Year (1.65) | EPS Estimate Next Year (1.75) | Wall Street Target Price 13.3333 | EPS Estimate Current Quarter (0.40) | Quarterly Revenue Growth (0.19) |
Using Can Fite hype-based prediction, you can estimate the value of Can Fite Biopharma from the perspective of Can Fite 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 Can Fite to buy its stock at a price that has no basis in reality. In that case, they are not buying Can 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.
Can Fite after-hype prediction price | USD 2.21 |
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.
Can |
Can Fite After-Hype Price Prediction Density Analysis
As far as predicting the price of Can Fite 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 Can Fite 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 Can Fite, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Can Fite Estimiated After-Hype Price Volatility
In the context of predicting Can Fite's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Can Fite's historical news coverage. Can Fite's after-hype downside and upside margins for the prediction period are 0.11 and 6.34, respectively. We have considered Can Fite'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
Can Fite is moderately volatile at this time. Analysis and calculation of next after-hype price of Can Fite Biopharma is based on 3 months time horizon.
Can Fite Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Can Fite is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Can Fite 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 Can Fite, 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 |
0.07 | 4.13 | 0.01 | 0.01 | 3 Events / Month | 15 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
2.20 | 2.21 | 0.45 |
|
Can Fite Hype Timeline
Can Fite Biopharma is currently traded for 2.20. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.01. Can is estimated to increase in value after the next headline, with the price projected to jump to 2.21 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 0.45%, whereas the daily expected return is currently at 0.07%. The volatility of related hype on Can Fite is about 5252.02%, with the expected price after the next announcement by competition of 2.19. The company reported the previous year's revenue of 743 K. Net Loss for the year was (7.63 M) with profit before overhead, payroll, taxes, and interest of 810 K. Given the investment horizon of 90 days the next estimated press release will be in about 3 days. Check out Can Fite Basic Forecasting Models to cross-verify your projections.Can Fite Related Hype Analysis
Having access to credible news sources related to Can Fite's direct competition is more important than ever and may enhance your ability to predict Can Fite's future price movements. Getting to know how Can Fite'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 Can Fite may potentially react to the hype associated with one of its peers.
Can Fite Additional Predictive Modules
Most predictive techniques to examine Can price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Can using various technical indicators. When you analyze Can 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 Can Fite Predictive Indicators
The successful prediction of Can Fite 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 Can Fite Biopharma, 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 Can Fite based on analysis of Can Fite hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Can Fite's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Can Fite's related companies. | 2021 | 2022 | 2024 (projected) | Current Ratio | 7.35 | 3.66 | 3.69 | Net Debt To EBITDA | 0.33 | 0.29 | 0.78 |
Story Coverage note for Can Fite
The number of cover stories for Can Fite depends on current market conditions and Can Fite's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Can Fite 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 Can Fite's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Can Fite Short Properties
Can Fite's future price predictability will typically decrease when Can Fite's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Can Fite Biopharma often depends not only on the future outlook of the potential Can Fite'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. Can Fite's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 4.3 M | |
| Cash And Short Term Investments | 8.9 M |
Complementary Tools for Can Stock analysis
When running Can Fite's price analysis, check to measure Can Fite'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 Can Fite is operating at the current time. Most of Can Fite's value examination focuses on studying past and present price action to predict the probability of Can Fite's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Can Fite's price. Additionally, you may evaluate how the addition of Can Fite to your portfolios can decrease your overall portfolio volatility.
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |