GTL (India) Price Prediction
| GTL Stock | 8.33 0.15 1.77% |
Momentum 22
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 1.645 | Wall Street Target Price 484 | Quarterly Revenue Growth 0.174 |
Using GTL hype-based prediction, you can estimate the value of GTL Limited from the perspective of GTL 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 GTL to buy its stock at a price that has no basis in reality. In that case, they are not buying GTL 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.
GTL after-hype prediction price | INR 8.0 |
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.
GTL |
GTL After-Hype Price Prediction Density Analysis
As far as predicting the price of GTL 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 GTL 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 GTL, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
GTL Estimiated After-Hype Price Volatility
In the context of predicting GTL's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on GTL's historical news coverage. GTL's after-hype downside and upside margins for the prediction period are 5.37 and 10.63, respectively. We have considered GTL'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
GTL is somewhat reliable at this time. Analysis and calculation of next after-hype price of GTL Limited is based on 3 months time horizon.
GTL Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as GTL is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GTL 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 GTL, 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 |
0.76 | 2.64 | 0.32 | 10.71 | 1 Events / Month | 2 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
8.33 | 8.00 | 3.96 |
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GTL Hype Timeline
GTL Limited is currently traded for 8.33on National Stock Exchange of India of India. The entity has historical hype elasticity of -0.32, and average elasticity to hype of competition of -10.71. GTL is forecasted to decline in value after the next headline, with the price expected to drop to 8.0. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -3.96%, whereas the daily expected return is currently at -0.76%. The volatility of related hype on GTL is about 18.73%, with the expected price after the next announcement by competition of -2.38. About 26.0% of the company shares are held by company insiders. The company recorded earning per share (EPS) of 7.41. GTL Limited last dividend was issued on the 7th of October 2011. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out GTL Basic Forecasting Models to cross-verify your projections.GTL Related Hype Analysis
Having access to credible news sources related to GTL's direct competition is more important than ever and may enhance your ability to predict GTL's future price movements. Getting to know how GTL'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 GTL may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PAYTM | One 97 Communications | (27.10) | 9 per month | 0.00 | (0.13) | 4.18 | (5.10) | 11.25 | |
| GRWRHITECH | Garware Hi Tech Films | 17.75 | 8 per month | 0.00 | (0.04) | 7.90 | (8.61) | 22.47 | |
| GALLANTT | Gallantt Ispat Limited | (3.40) | 2 per month | 0.00 | (0.06) | 4.60 | (4.46) | 9.58 | |
| PNC | Pritish Nandy Communications | (0.24) | 4 per month | 0.00 | (0.43) | 3.88 | (6.53) | 15.11 | |
| HITECHGEAR | The Hi Tech Gears | (14.25) | 4 per month | 0.00 | (0.25) | 3.15 | (4.31) | 9.31 | |
| ORTEL | Ortel Communications Limited | 0.00 | 1 per month | 0.00 | (0.04) | 4.68 | (5.26) | 15.05 | |
| RSSOFTWARE | R S Software | (4.24) | 1 per month | 0.00 | (0.53) | 5.00 | (5.01) | 15.25 | |
| NEWGEN | Newgen Software Technologies | (81.30) | 5 per month | 0.00 | (0.11) | 5.19 | (6.64) | 27.66 |
GTL Additional Predictive Modules
Most predictive techniques to examine GTL price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GTL using various technical indicators. When you analyze GTL 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 GTL Predictive Indicators
The successful prediction of GTL 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 GTL Limited, 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 GTL based on analysis of GTL hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to GTL's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to GTL's related companies.
Story Coverage note for GTL
The number of cover stories for GTL depends on current market conditions and GTL's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that GTL 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 GTL'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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GTL Short Properties
GTL's future price predictability will typically decrease when GTL's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of GTL Limited often depends not only on the future outlook of the potential GTL'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. GTL's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 157.3 M | |
| Cash And Short Term Investments | 76.1 M |
Complementary Tools for GTL Stock analysis
When running GTL's price analysis, check to measure GTL'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 GTL is operating at the current time. Most of GTL's value examination focuses on studying past and present price action to predict the probability of GTL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GTL's price. Additionally, you may evaluate how the addition of GTL to your portfolios can decrease your overall portfolio volatility.
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