Groundhog Stock Forward View
| 6906 Stock | 72.50 2.60 3.72% |
Momentum 48
Impartial
Oversold | Overbought |
Using Groundhog hype-based prediction, you can estimate the value of Groundhog from the perspective of Groundhog response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Groundhog on the next trading day is expected to be 67.87 with a mean absolute deviation of 1.70 and the sum of the absolute errors of 103.95. Groundhog after-hype prediction price | TWD 72.5 |
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.
Groundhog |
Groundhog Additional Predictive Modules
Most predictive techniques to examine Groundhog price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Groundhog using various technical indicators. When you analyze Groundhog 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 |
Groundhog Naive Prediction Price Forecast For the 25th of February
Given 90 days horizon, the Naive Prediction forecasted value of Groundhog on the next trading day is expected to be 67.87 with a mean absolute deviation of 1.70, mean absolute percentage error of 5.23, and the sum of the absolute errors of 103.95.Please note that although there have been many attempts to predict Groundhog Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Groundhog's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Groundhog Stock Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Groundhog stock data series using in forecasting. Note that when a statistical model is used to represent Groundhog stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 119.7654 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.7041 |
| MAPE | Mean absolute percentage error | 0.0213 |
| SAE | Sum of the absolute errors | 103.9512 |
Predictive Modules for Groundhog
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Groundhog. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Groundhog Estimiated After-Hype Price Volatility
As far as predicting the price of Groundhog 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 Groundhog 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 Groundhog, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Groundhog Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Groundhog is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Groundhog 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 Groundhog, 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 |
0.34 | 2.73 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
72.50 | 72.50 | 0.00 |
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Groundhog Hype Timeline
Groundhog is presently traded for 72.50on Taiwan Stock Exchange of Taiwan. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Groundhog is anticipated 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 anticipated to be very small, whereas the daily expected return is presently at -0.34%. %. The volatility of related hype on Groundhog is about 0.0%, with the expected price after the next announcement by competition of 72.50. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in inflation.Groundhog Related Hype Analysis
Having access to credible news sources related to Groundhog's direct competition is more important than ever and may enhance your ability to predict Groundhog's future price movements. Getting to know how Groundhog'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 Groundhog may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 6127 | Leatec Fine Ceramics | 0.00 | 0 per month | 3.09 | 0.09 | 9.91 | (4.62) | 17.37 | |
| 6209 | Kinko Optical Co | 0.00 | 0 per month | 3.04 | 0.10 | 7.36 | (5.14) | 18.33 | |
| 1777 | SYN Tech Chem Pharm | 0.00 | 0 per month | 0.00 | (0.29) | 0.84 | (1.30) | 2.96 | |
| 5236 | Sunplus Innovation Technology | 0.00 | 0 per month | 0.00 | (0.08) | 2.58 | (2.86) | 7.15 | |
| 3073 | Teamphon Energy Co | 0.00 | 0 per month | 3.20 | (0) | 9.96 | (5.53) | 19.16 | |
| 2485 | Zinwell | 0.00 | 0 per month | 3.04 | 0.28 | 9.98 | (5.98) | 19.99 | |
| 2412 | Chunghwa Telecom Co | 0.00 | 0 per month | 0.34 | (0.08) | 0.77 | (0.76) | 1.92 | |
| 00923 | Capital Tip Customized | 0.00 | 0 per month | 0.82 | 0.22 | 2.83 | (1.70) | 6.42 | |
| 4714 | U Best Polymer Industry | 0.00 | 0 per month | 0.00 | (0.04) | 3.90 | (3.11) | 9.75 |
Groundhog Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Groundhog stock to make a market-neutral strategy. Peer analysis of Groundhog could also be used in its relative valuation, which is a method of valuing Groundhog by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Groundhog Market Strength Events
Market strength indicators help investors to evaluate how Groundhog stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Groundhog shares will generate the highest return on investment. By undertsting and applying Groundhog stock market strength indicators, traders can identify Groundhog entry and exit signals to maximize returns.
Groundhog Risk Indicators
The analysis of Groundhog's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Groundhog's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting groundhog stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.91 | |||
| Standard Deviation | 2.69 | |||
| Variance | 7.25 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Groundhog
The number of cover stories for Groundhog depends on current market conditions and Groundhog's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Groundhog 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 Groundhog'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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Additional Tools for Groundhog Stock Analysis
When running Groundhog's price analysis, check to measure Groundhog'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 Groundhog is operating at the current time. Most of Groundhog's value examination focuses on studying past and present price action to predict the probability of Groundhog's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Groundhog's price. Additionally, you may evaluate how the addition of Groundhog to your portfolios can decrease your overall portfolio volatility.