Giant Pink Sheet Forecast - Simple Exponential Smoothing
| GGLT Stock | USD 200.00 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Giant Group on the next trading day is expected to be 200.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Giant Pink Sheet Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Giant's share price is below 20 . This usually indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Giant hype-based prediction, you can estimate the value of Giant Group from the perspective of Giant response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Giant Group on the next trading day is expected to be 200.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Giant after-hype prediction price | USD 200.0 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Giant |
Giant Additional Predictive Modules
Most predictive techniques to examine Giant price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Giant using various technical indicators. When you analyze Giant 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 | ||
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| Volatility Indicators | ||
| Volume Indicators |
Giant Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Giant Group on the next trading day is expected to be 200.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict Giant Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Giant's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Giant Pink Sheet Forecast Pattern
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Giant Forecasted Value
In the context of forecasting Giant's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Giant's downside and upside margins for the forecasting period are 200.00 and 200.00, respectively. We have considered Giant's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Giant pink sheet data series using in forecasting. Note that when a statistical model is used to represent Giant pink sheet, 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 | -9.223372036854776E14 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Giant
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Giant Group. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Giant After-Hype Price Prediction Density Analysis
As far as predicting the price of Giant 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 Giant 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 Giant, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Giant Estimiated After-Hype Price Volatility
In the context of predicting Giant's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Giant's historical news coverage. Giant's after-hype downside and upside margins for the prediction period are 200.00 and 200.00, respectively. We have considered Giant'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
Giant is very steady at this time. Analysis and calculation of next after-hype price of Giant Group is based on 3 months time horizon.
Giant Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Giant is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Giant 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 Giant, 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 | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
200.00 | 200.00 | 0.00 |
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Giant Hype Timeline
Giant Group is currently traded for 200.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Giant is expected 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 expected to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Giant is about 0.0%, with the expected price after the next announcement by competition of 200.00. The company has price-to-book (P/B) ratio of 0.54. Some equities with similar Price to Book (P/B) outperform the market in the long run. Giant Group recorded earning per share (EPS) of 375.99. The entity had not issued any dividends in recent years. The firm had 1:300 split on the 1st of February 2005. Given the investment horizon of 90 days the next expected press release will be in a few days. Check out Historical Fundamental Analysis of Giant to cross-verify your projections.Giant Related Hype Analysis
Having access to credible news sources related to Giant's direct competition is more important than ever and may enhance your ability to predict Giant's future price movements. Getting to know how Giant'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 Giant may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RFGPF | Retail Food Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| EATR | Eastern Asteria | 0.00 | 0 per month | 8.40 | 0.02 | 22.22 | (18.18) | 52.22 | |
| PNST | Pinstripes Holdings | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| RVLCF | Rivalry Corp | 0.00 | 0 per month | 14.24 | 0.14 | 63.94 | (31.14) | 170.10 | |
| GVSI | Good Vibrations Shoes | 0.00 | 0 per month | 5.68 | 0 | 11.11 | (10.00) | 47.22 | |
| ELRA | Elray Resources | 0.00 | 0 per month | 8.98 | 0.06 | 33.33 | (25.00) | 58.33 | |
| KITL | Kisses From Italy | 0.00 | 0 per month | 0.00 | (0.03) | 21.74 | (20.83) | 80.56 | |
| RBNW | Renewable Energy and | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AHRO | Authentic Holdings | 0.00 | 0 per month | 11.75 | 0.04 | 25.00 | (22.22) | 107.27 | |
| RNVT | Renovate Neighborhoods | 0.00 | 0 per month | 0.00 | 0.10 | 0.00 | 0.00 | 888.89 |
Other Forecasting Options for Giant
For every potential investor in Giant, whether a beginner or expert, Giant's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Giant Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Giant. Basic forecasting techniques help filter out the noise by identifying Giant's price trends.Giant 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 Giant pink sheet to make a market-neutral strategy. Peer analysis of Giant could also be used in its relative valuation, which is a method of valuing Giant by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Giant Market Strength Events
Market strength indicators help investors to evaluate how Giant pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Giant shares will generate the highest return on investment. By undertsting and applying Giant pink sheet market strength indicators, traders can identify Giant Group entry and exit signals to maximize returns.
Story Coverage note for Giant
The number of cover stories for Giant depends on current market conditions and Giant's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Giant 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 Giant'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 Giant Pink Sheet Analysis
When running Giant's price analysis, check to measure Giant'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 Giant is operating at the current time. Most of Giant's value examination focuses on studying past and present price action to predict the probability of Giant's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Giant's price. Additionally, you may evaluate how the addition of Giant to your portfolios can decrease your overall portfolio volatility.