John Keells (Sri Lanka) Price Prediction
| KHLN0000 | 18.80 0.30 1.62% |
Oversold Vs Overbought
65
Oversold | Overbought |
Using John Keells hype-based prediction, you can estimate the value of John Keells Hotels from the perspective of John Keells 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 John Keells to buy its stock at a price that has no basis in reality. In that case, they are not buying John 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.
John Keells after-hype prediction price | LKR 18.8 |
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.
John |
John Keells Estimiated After-Hype Price Prediction Volatility
As far as predicting the price of John Keells 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 John Keells 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 John Keells, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
John Keells Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as John Keells is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading John Keells 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 John Keells, 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 |
0.38 | 1.63 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
18.80 | 18.80 | 0.00 |
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John Keells Hype Timeline
John Keells Hotels is now traded for 18.80on Colombo Stock Exchange of Sri Lanka. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. John 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 insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is now at 0.38%. %. The volatility of related hype on John Keells is about 0.0%, with the expected price after the next announcement by competition of 18.80. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next estimated press release will be uncertain. Check out John Keells Basic Forecasting Models to cross-verify your projections.John Keells Related Hype Analysis
Having access to credible news sources related to John Keells' direct competition is more important than ever and may enhance your ability to predict John Keells' future price movements. Getting to know how John Keells' 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 John Keells may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CINSN0000 | Ceylinco Insurance PLC | 0.00 | 0 per month | 1.70 | (0.02) | 3.97 | (3.20) | 16.52 | |
| SEYBN0000 | Seylan Bank PLC | 0.00 | 0 per month | 0.69 | 0.26 | 4.67 | (1.86) | 8.97 | |
| HNBX0000 | HATTON NATIONAL BANK | 0.00 | 0 per month | 0.46 | 0.27 | 4.27 | (1.47) | 9.16 | |
| BILN0000 | BROWNS INVESTMENTS PLC | 0.00 | 0 per month | 1.20 | 0.12 | 3.92 | (3.08) | 10.55 | |
| CINSX0000 | CEYLINCO INSURANCE PLC | 0.00 | 0 per month | 0.60 | 0.10 | 3.88 | (1.25) | 13.60 | |
| DFCCN0000 | DFCC Bank PLC | 0.00 | 0 per month | 0.97 | 0.21 | 3.24 | (2.00) | 6.47 |
John Keells Additional Predictive Modules
Most predictive techniques to examine John price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for John using various technical indicators. When you analyze John 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 John Keells Predictive Indicators
The successful prediction of John Keells 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 John Keells Hotels, 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 John Keells based on analysis of John Keells hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to John Keells's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to John Keells's related companies.
Story Coverage note for John Keells
The number of cover stories for John Keells depends on current market conditions and John Keells' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that John Keells 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 John Keells' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Complementary Tools for John Stock analysis
When running John Keells' price analysis, check to measure John Keells' 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 John Keells is operating at the current time. Most of John Keells' value examination focuses on studying past and present price action to predict the probability of John Keells' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move John Keells' price. Additionally, you may evaluate how the addition of John Keells to your portfolios can decrease your overall portfolio volatility.
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