Gpt Group Stock Price Prediction
| GPTGF Stock | USD 3.64 0.08 2.25% |
Momentum 6
Sell Peaked
Oversold | Overbought |
Using GPT hype-based prediction, you can estimate the value of GPT Group from the perspective of GPT 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 GPT to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying GPT 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
GPT after-hype prediction price | USD 3.64 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
GPT |
GPT After-Hype Price Prediction Density Analysis
As far as predicting the price of GPT 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 GPT 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 Pink Sheet prices, such as prices of GPT, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
GPT Estimiated After-Hype Price Volatility
In the context of predicting GPT's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on GPT's historical news coverage. GPT's after-hype downside and upside margins for the prediction period are 2.10 and 5.18, respectively. We have considered GPT'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
GPT is slightly risky at this time. Analysis and calculation of next after-hype price of GPT Group is based on 3 months time horizon.
GPT Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as GPT is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading GPT 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 Pink Sheet 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 GPT, 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 | 1.54 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3.64 | 3.64 | 0.00 |
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GPT Hype Timeline
GPT Group is currently traded for 3.64. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. GPT is forecasted 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 forecasted to be very small, whereas the daily expected return is currently at 0.07%. %. The volatility of related hype on GPT is about 0.0%, with the expected price after the next announcement by competition of 3.64. About 64.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.66. Some equities with similar Price to Book (P/B) outperform the market in the long run. GPT Group last dividend was issued on the 29th of December 2022. The entity had 1:5 split on the 12th of May 2010. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out GPT Basic Forecasting Models to cross-verify your projections.GPT Related Hype Analysis
Having access to credible news sources related to GPT's direct competition is more important than ever and may enhance your ability to predict GPT's future price movements. Getting to know how GPT'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 GPT may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LDSCY | Land Securities Group | 0.00 | 0 per month | 1.61 | 0.06 | 2.75 | (2.29) | 8.63 | |
| LSGOF | Land Securities Group | 0.00 | 0 per month | 1.91 | 0.02 | 3.36 | (3.99) | 15.18 | |
| LNSPF | LondonMetric Property Plc | 0.00 | 0 per month | 1.01 | (0.04) | 1.63 | (1.57) | 9.96 | |
| DEXSF | DEXUS | 0.00 | 0 per month | 0.00 | (0.06) | 3.08 | (2.78) | 15.20 | |
| FBASF | Fibra UNO | 0.00 | 0 per month | 0.00 | (0.03) | 6.43 | (8.00) | 32.54 | |
| WDPSF | Warehouses De Pauw | 0.00 | 0 per month | 0.71 | (0.01) | 4.08 | (1.82) | 7.33 | |
| CTOUF | Charter Hall Group | 0.00 | 0 per month | 0.00 | (0.01) | 0.00 | 0.00 | 15.47 | |
| BRLAF | British Land | 0.00 | 0 per month | 0.00 | 0.01 | 3.09 | (4.68) | 35.32 | |
| FBBPF | FIBRA Prologis | 0.00 | 0 per month | 2.96 | 0.03 | 5.53 | (5.13) | 13.79 | |
| CWQXY | Castellum AB ADR | 0.00 | 0 per month | 0.00 | (1.12) | 0.00 | 0.00 | 0.52 |
GPT Additional Predictive Modules
Most predictive techniques to examine GPT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GPT using various technical indicators. When you analyze GPT 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 GPT Predictive Indicators
The successful prediction of GPT 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 GPT Group, 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 GPT based on analysis of GPT hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to GPT's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to GPT's related companies.
Story Coverage note for GPT
The number of cover stories for GPT depends on current market conditions and GPT's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that GPT 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 GPT'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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Complementary Tools for GPT Pink Sheet analysis
When running GPT's price analysis, check to measure GPT'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 GPT is operating at the current time. Most of GPT's value examination focuses on studying past and present price action to predict the probability of GPT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GPT's price. Additionally, you may evaluate how the addition of GPT to your portfolios can decrease your overall portfolio volatility.
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