Can Fin (India) Price Prediction
| CANFINHOME | 821.85 4.15 0.50% |
Oversold Vs Overbought
39
Oversold | Overbought |
Quarterly Earnings Growth 0.338 | EPS Estimate Current Year 27.04 | EPS Estimate Next Year 32.66 | Wall Street Target Price 984.2353 | EPS Estimate Current Quarter 6 |
Using Can Fin hype-based prediction, you can estimate the value of Can Fin Homes from the perspective of Can Fin 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 Fin 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 Fin after-hype prediction price | INR 821.85 |
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.
Can |
Can Fin After-Hype Price Prediction Density Analysis
As far as predicting the price of Can Fin 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 Fin 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 Fin, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Can Fin Estimiated After-Hype Price Volatility
In the context of predicting Can Fin's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Can Fin's historical news coverage. Can Fin's after-hype downside and upside margins for the prediction period are 819.99 and 823.71, respectively. We have considered Can Fin'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 Fin is very steady at this time. Analysis and calculation of next after-hype price of Can Fin Homes is based on 3 months time horizon.
Can Fin Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Can Fin is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Can Fin 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 Fin, 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 |
0.10 | 1.86 | 2.82 | 0.14 | 4 Events / Month | 1 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
821.85 | 821.85 | 0.00 |
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Can Fin Hype Timeline
Can Fin Homes is currently traded for 821.85on National Stock Exchange of India of India. The entity has historical hype elasticity of -2.82, and average elasticity to hype of competition of -0.14. Can is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 6.58%. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at -0.1%. %. The volatility of related hype on Can Fin is about 134.09%, with the expected price after the next announcement by competition of 821.71. About 39.0% of the company shares are held by company insiders. The book value of Can Fin was currently reported as 353.02. The company recorded earning per share (EPS) of 61.64. Can Fin Homes last dividend was issued on the 4th of December 2024. The entity had 5:1 split on the 12th of October 2017. Assuming the 90 days trading horizon the next estimated press release will be in about 4 days. Check out Can Fin Basic Forecasting Models to cross-verify your projections.Can Fin Related Hype Analysis
Having access to credible news sources related to Can Fin's direct competition is more important than ever and may enhance your ability to predict Can Fin's future price movements. Getting to know how Can Fin'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 Fin may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| UNIVAFOODS | Univa Foods Limited | 0.43 | 1 per month | 0.00 | 0.03 | 0.00 | 0.00 | 4.89 | |
| IDBI | IDBI Bank Limited | 0.76 | 2 per month | 0.00 | (0.15) | 3.44 | (3.84) | 13.72 | |
| CENTRALBK | Central Bank of | (1.24) | 4 per month | 0.00 | (0.09) | 3.94 | (4.47) | 11.42 | |
| APEX | Apex Frozen Foods | (15.51) | 1 per month | 0.00 | (0.12) | 3.51 | (3.90) | 16.45 | |
| BIKAJI | Bikaji Foods International | 4.25 | 1 per month | 0.00 | (0.07) | 3.75 | (3.89) | 12.74 | |
| PAYTM | One 97 Communications | (13.45) | 6 per month | 2.47 | 0.19 | 6.62 | (4.62) | 20.59 | |
| MOTILALOFS | Motilal Oswal Financial | 15.05 | 7 per month | 2.55 | 0.06 | 6.33 | (4.02) | 17.87 |
Can Fin 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 Fin Predictive Indicators
The successful prediction of Can Fin 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 Fin Homes, 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 Fin based on analysis of Can Fin hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Can Fin's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Can Fin's related companies.
Story Coverage note for Can Fin
The number of cover stories for Can Fin depends on current market conditions and Can Fin'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 Fin 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 Fin'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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Can Fin Short Properties
Can Fin's future price predictability will typically decrease when Can Fin's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Can Fin Homes often depends not only on the future outlook of the potential Can Fin'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 Fin's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 133.2 M | |
| Cash And Short Term Investments | 4.6 B |
Complementary Tools for Can Stock analysis
When running Can Fin's price analysis, check to measure Can Fin'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 Fin is operating at the current time. Most of Can Fin's value examination focuses on studying past and present price action to predict the probability of Can Fin'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 Fin's price. Additionally, you may evaluate how the addition of Can Fin to your portfolios can decrease your overall portfolio volatility.
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