Warehouse Group Stock Price Prediction
| WHGPF Stock | USD 0.54 0.08 12.90% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using Warehouse hype-based prediction, you can estimate the value of Warehouse Group from the perspective of Warehouse 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 Warehouse to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Warehouse 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.
Warehouse after-hype prediction price | USD 0.54 |
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.
Warehouse |
Warehouse After-Hype Price Prediction Density Analysis
As far as predicting the price of Warehouse 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 Warehouse 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 Warehouse, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Warehouse Estimiated After-Hype Price Volatility
In the context of predicting Warehouse's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Warehouse's historical news coverage. Warehouse's after-hype downside and upside margins for the prediction period are 0.54 and 0.54, respectively. We have considered Warehouse'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
Warehouse is very steady at this time. Analysis and calculation of next after-hype price of Warehouse Group is based on 3 months time horizon.
Warehouse Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Warehouse is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Warehouse 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 Warehouse, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 1 Events / Month | Any time |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.54 | 0.54 | 0.00 |
|
Warehouse Hype Timeline
Warehouse Group is at this time traded for 0.54. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Warehouse is projected 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 projected to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Warehouse is about 0.0%, with the expected price after the next announcement by competition of 0.54. About 71.0% of the company outstanding shares are owned by insiders. The book value of Warehouse was at this time reported as 1.22. The company last dividend was issued on the 5th of April 2022. Assuming the 90 days horizon the next projected press release will be any time. Check out Warehouse Basic Forecasting Models to cross-verify your projections.Warehouse Related Hype Analysis
Having access to credible news sources related to Warehouse's direct competition is more important than ever and may enhance your ability to predict Warehouse's future price movements. Getting to know how Warehouse'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 Warehouse may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CMMCF | OXE Marine AB | 0.00 | 0 per month | 0.00 | (0.12) | 0.00 | 0.00 | 45.24 | |
| AKBIF | Akebono Brake Industry | (0.71) | 8 per month | 0.00 | (0.30) | 0.00 | 0.00 | 1.41 | |
| AINSF | Ainsworth Game Technology | (0.64) | 5 per month | 0.00 | (0.03) | 6.15 | (4.55) | 15.06 | |
| MDOUF | Maisons Du Monde | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PBTHF | PointsBet Holdings Limited | 0.00 | 0 per month | 11.34 | 0.04 | 43.48 | (34.48) | 126.00 | |
| ECNLF | Aquafil SpA | 0.00 | 0 per month | 0.00 | 0.1 | 0.00 | 0.00 | 20.88 | |
| BHOOY | BoohooCom PLC ADR | 0.00 | 0 per month | 0.00 | 0.09 | 0.00 | 0.00 | 125.08 | |
| CBDBY | Companhia Brasileira De | 0.00 | 0 per month | 0.00 | (0.02) | 7.81 | (8.33) | 25.18 | |
| PSDMF | Gaming Realms plc | 0.00 | 0 per month | 0.00 | (0.16) | 0.00 | 0.00 | 16.92 | |
| CLKFF | Clarke Inc | 0.00 | 6 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Warehouse Additional Predictive Modules
Most predictive techniques to examine Warehouse price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Warehouse using various technical indicators. When you analyze Warehouse 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 Warehouse Predictive Indicators
The successful prediction of Warehouse 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 Warehouse 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 Warehouse based on analysis of Warehouse hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Warehouse's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Warehouse's related companies.
Story Coverage note for Warehouse
The number of cover stories for Warehouse depends on current market conditions and Warehouse's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Warehouse 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 Warehouse'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 Warehouse Pink Sheet analysis
When running Warehouse's price analysis, check to measure Warehouse'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 Warehouse is operating at the current time. Most of Warehouse's value examination focuses on studying past and present price action to predict the probability of Warehouse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Warehouse's price. Additionally, you may evaluate how the addition of Warehouse to your portfolios can decrease your overall portfolio volatility.
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