Fit After Stock Forecast - Simple Exponential Smoothing
Fit Stock outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Fit After's share price is below 20 . This usually indicates that the stock 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 |
Quarterly Revenue Growth 56.168 |
Using Fit After hype-based prediction, you can estimate the value of Fit After Fifty from the perspective of Fit After response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Fit After Fifty on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Fit After after-hype prediction price | USD 0.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Fit After to cross-verify your projections. Fit After Additional Predictive Modules
Most predictive techniques to examine Fit price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fit using various technical indicators. When you analyze Fit 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Fit After Simple Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Fit After Fifty on the next trading day is expected to be 0.00 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 Fit Stock 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 Fit After's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Fit After Stock Forecast Pattern
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Fit After Forecasted Value
In the context of forecasting Fit After's Stock 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. Fit After's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered Fit After'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 Fit After stock data series using in forecasting. Note that when a statistical model is used to represent Fit After 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 | -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 Fit After
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fit After Fifty. 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.Fit After Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Fit After is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fit After 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 Fit After, 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 | 8 Events / Month | 3 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.00 | 0.00 | 0.00 |
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Fit After Hype Timeline
Fit After Fifty is currently traded for 0.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Fit 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 0.0%. %. The volatility of related hype on Fit After is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 1.37. Fit After Fifty had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Fit After to cross-verify your projections.Fit After Related Hype Analysis
Having access to credible news sources related to Fit After's direct competition is more important than ever and may enhance your ability to predict Fit After's future price movements. Getting to know how Fit After'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 Fit After may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AS | Amer Sports | (0.30) | 9 per month | 1.53 | 0.11 | 4.18 | (2.65) | 12.43 | |
| DOGZ | Dogness International Corp | (0.11) | 7 per month | 0.00 | (0.16) | 4.47 | (5.95) | 21.16 | |
| EATR | Eastern Asteria | (6.70) | 20 per month | 8.61 | 0.06 | 25.00 | (18.18) | 52.22 | |
| FPLF | First Pet Life | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MLPH | Molecular Pharmacology | 0.00 | 0 per month | 0.00 | 0.13 | 25.00 | 0.00 | 651.67 | |
| PTON | Peloton Interactive | 0.15 | 8 per month | 0.00 | (0.12) | 5.78 | (5.89) | 21.58 | |
| SRM | SRM Old | 0.02 | 5 per month | 7.52 | 0.13 | 34.63 | (15.89) | 556.65 | |
| SYHO | Synergie Wellness Products | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for Fit After
For every potential investor in Fit, whether a beginner or expert, Fit After's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fit Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fit. Basic forecasting techniques help filter out the noise by identifying Fit After's price trends.Fit After 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 Fit After stock to make a market-neutral strategy. Peer analysis of Fit After could also be used in its relative valuation, which is a method of valuing Fit After by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Story Coverage note for Fit After
The number of cover stories for Fit After depends on current market conditions and Fit After's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Fit After 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 Fit After'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 Fit Stock Analysis
When running Fit After's price analysis, check to measure Fit After'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 Fit After is operating at the current time. Most of Fit After's value examination focuses on studying past and present price action to predict the probability of Fit After's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fit After's price. Additionally, you may evaluate how the addition of Fit After to your portfolios can decrease your overall portfolio volatility.