Sbi Holdings Stock Price Patterns
| SBHGF Stock | USD 23.40 0.35 1.47% |
Momentum 41
Sell Extended
Oversold | Overbought |
Using SBI Holdings hype-based prediction, you can estimate the value of SBI Holdings from the perspective of SBI Holdings 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 SBI Holdings to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying SBI 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.
SBI Holdings after-hype prediction price | USD 23.4 |
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.
SBI |
SBI Holdings After-Hype Price Density Analysis
As far as predicting the price of SBI Holdings 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 SBI Holdings 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 SBI Holdings, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SBI Holdings Estimiated After-Hype Price Volatility
In the context of predicting SBI Holdings' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SBI Holdings' historical news coverage. SBI Holdings' after-hype downside and upside margins for the prediction period are 16.61 and 30.19, respectively. We have considered SBI Holdings' 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
SBI Holdings is somewhat reliable at this time. Analysis and calculation of next after-hype price of SBI Holdings is based on 3 months time horizon.
SBI Holdings Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as SBI Holdings is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SBI Holdings 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 SBI Holdings, 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 |
0.67 | 6.79 | 0.00 | 0.06 | 0 Events / Month | 1 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
23.40 | 23.40 | 0.00 |
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SBI Holdings Hype Timeline
SBI Holdings is at this time traded for 23.40. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.06. SBI 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 at this time at -0.67%. %. The volatility of related hype on SBI Holdings is about 7380.43%, with the expected price after the next announcement by competition of 23.46. About 13.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.73. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. SBI Holdings recorded earning per share (EPS) of 7.93. The entity last dividend was issued on the 29th of September 2022. The firm had 10:1 split on the 26th of September 2012. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out SBI Holdings Basic Forecasting Models to cross-verify your projections.SBI Holdings Related Hype Analysis
Having access to credible news sources related to SBI Holdings' direct competition is more important than ever and may enhance your ability to predict SBI Holdings' future price movements. Getting to know how SBI Holdings' 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 SBI Holdings may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AMDUF | Amundi SA | 0.00 | 0 per month | 0.00 | (0.07) | 0.00 | 0.00 | 3.33 | |
| JBAXY | Julius Baer Group | 0.00 | 0 per month | 1.80 | 0.12 | 2.98 | (3.45) | 10.38 | |
| LBGUF | L E Lundbergfretagen | 0.00 | 0 per month | 0.00 | 0.10 | 0.00 | 0.00 | 0.00 | |
| JBARF | Julius Br Gruppe | 0.00 | 0 per month | 1.97 | 0.10 | 4.22 | (4.36) | 11.13 | |
| GPFOF | Grupo Financiero Inbursa | 0.00 | 0 per month | 1.39 | 0.01 | 3.90 | (3.69) | 12.05 | |
| BKPKF | Bank Polska Kasa | 0.46 | 3 per month | 0.00 | 0.11 | 0.00 | 0.00 | 13.67 | |
| IVTBF | Investment AB Latour | 0.00 | 0 per month | 0.00 | (0.14) | 0.00 | 0.00 | 5.75 | |
| EGFEY | Eurobank Ergasias SA | 0.00 | 0 per month | 0.00 | (0.11) | 5.63 | (8.85) | 106.17 | |
| PSHZF | Pershing Square Holdings | 0.00 | 0 per month | 0.00 | (0.08) | 2.10 | (2.39) | 7.11 | |
| EGFEF | Eurobank Ergasias Services | 0.46 | 3 per month | 0.00 | 0.11 | 3.02 | 0.00 | 43.33 |
SBI Holdings Additional Predictive Modules
Most predictive techniques to examine SBI price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SBI using various technical indicators. When you analyze SBI 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 SBI Holdings Predictive Indicators
The successful prediction of SBI Holdings 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 SBI Holdings, 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 SBI Holdings based on analysis of SBI Holdings hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to SBI Holdings's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to SBI Holdings's related companies.
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Complementary Tools for SBI Pink Sheet analysis
When running SBI Holdings' price analysis, check to measure SBI Holdings' 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 SBI Holdings is operating at the current time. Most of SBI Holdings' value examination focuses on studying past and present price action to predict the probability of SBI Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SBI Holdings' price. Additionally, you may evaluate how the addition of SBI Holdings to your portfolios can decrease your overall portfolio volatility.
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