Super League Stock Forecast - Double Exponential Smoothing
| SLE Stock | 6.74 0.55 8.89% |
Super Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Super League stock prices and determine the direction of Super League Enterprise's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Super League's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the relative strength index (RSI) of Super League's share price is approaching 38. This usually implies that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Super League, making its price go up or down. Momentum 38
Sell Extended
Oversold | Overbought |
EPS Estimate Next Quarter (1.80) | EPS Estimate Current Year (41.76) | EPS Estimate Next Year (7.08) | Wall Street Target Price 52 | EPS Estimate Current Quarter (2.76) |
Using Super League hype-based prediction, you can estimate the value of Super League Enterprise from the perspective of Super League response to recently generated media hype and the effects of current headlines on its competitors.
Super Relative Strength Index
The Double Exponential Smoothing forecasted value of Super League Enterprise on the next trading day is expected to be 6.65 with a mean absolute deviation of 0.70 and the sum of the absolute errors of 41.20.Super League Enterprise Hype to Price Pattern
Investor biases related to Super League's public news can be used to forecast risks associated with an investment in Super. The trend in average sentiment can be used to explain how an investor holding Super can time the market purely based on public headlines and social activities around Super League Enterprise. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Super League's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Super League.
The Double Exponential Smoothing forecasted value of Super League Enterprise on the next trading day is expected to be 6.65 with a mean absolute deviation of 0.70 and the sum of the absolute errors of 41.20. Super League after-hype prediction price | USD 6.24 |
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 Super League to cross-verify your projections. Super League Additional Predictive Modules
Most predictive techniques to examine Super price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Super using various technical indicators. When you analyze Super 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 |
Super League Double Exponential Smoothing Price Forecast For the 29th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Super League Enterprise on the next trading day is expected to be 6.65 with a mean absolute deviation of 0.70, mean absolute percentage error of 0.90, and the sum of the absolute errors of 41.20.Please note that although there have been many attempts to predict Super 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 Super League's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Super League Stock Forecast Pattern
| Backtest Super League | Super League Price Prediction | Buy or Sell Advice |
Super League Forecasted Value
In the context of forecasting Super League'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. Super League's downside and upside margins for the forecasting period are 0.07 and 14.94, respectively. We have considered Super League'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Super League stock data series using in forecasting. Note that when a statistical model is used to represent Super League 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.1279 |
| MAD | Mean absolute deviation | 0.6984 |
| MAPE | Mean absolute percentage error | 0.0709 |
| SAE | Sum of the absolute errors | 41.2028 |
Predictive Modules for Super League
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Super League Enterprise. 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.Super League After-Hype Price Density Analysis
As far as predicting the price of Super League 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 Super League 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 Super League, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Super League Estimiated After-Hype Price Volatility
In the context of predicting Super League's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Super League's historical news coverage. Super League's after-hype downside and upside margins for the prediction period are 0.31 and 14.49, respectively. We have considered Super League'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
Super League is slightly risky at this time. Analysis and calculation of next after-hype price of Super League Enterprise is based on 3 months time horizon.
Super League Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Super League is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Super League 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 Super League, 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 |
1.18 | 8.29 | 1.55 | 0.02 | 6 Events / Month | 5 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
6.74 | 6.24 | 0.81 |
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Super League Hype Timeline
On the 28th of January Super League Enterprise is traded for 6.74. The entity has historical hype elasticity of 1.55, and average elasticity to hype of competition of -0.02. Super is expected to increase in value after the next headline, with the price projected to jump to 6.24 or above. The average volatility of media hype impact on the company the price is over 100%. The price growth on the next news is projected to be 0.81%, whereas the daily expected return is at this time at -1.18%. The volatility of related hype on Super League is about 47371.43%, with the expected price after the next announcement by competition of 6.72. The company reported the last year's revenue of 16.18 M. Reported Net Loss for the year was (16.64 M) with profit before taxes, overhead, and interest of 4.58 M. Considering the 90-day investment horizon the next expected press release will be in about 6 days. Check out Historical Fundamental Analysis of Super League to cross-verify your projections.Super League Related Hype Analysis
Having access to credible news sources related to Super League's direct competition is more important than ever and may enhance your ability to predict Super League's future price movements. Getting to know how Super League'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 Super League may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HOFV | Hall of Fame | 0.03 | 3 per month | 0.00 | (0.10) | 12.50 | (13.21) | 35.42 | |
| MNY | MoneyHero Limited Class | 0.13 | 8 per month | 4.23 | 0.01 | 9.85 | (5.76) | 39.95 | |
| CMCM | Cheetah Mobile | (0.03) | 7 per month | 4.02 | (0.01) | 6.15 | (7.41) | 35.79 | |
| ZNB | Zeta Network Group | 0.02 | 6 per month | 8.15 | (0.01) | 8.82 | (10.17) | 90.82 | |
| CMLS | Cumulus Media Class | 0.00 | 0 per month | 11.24 | 0.04 | 30.00 | (17.02) | 70.57 | |
| ONFO | Onfolio Holdings | 0.01 | 9 per month | 0.00 | (0.07) | 11.69 | (8.11) | 35.69 | |
| CNET | ZW Data Action | (0.09) | 10 per month | 0.00 | (0.12) | 7.09 | (8.45) | 32.37 | |
| BZFD | BuzzFeed | (0.21) | 9 per month | 0.00 | (0.12) | 6.67 | (7.14) | 39.16 |
Other Forecasting Options for Super League
For every potential investor in Super, whether a beginner or expert, Super League's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Super Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Super. Basic forecasting techniques help filter out the noise by identifying Super League's price trends.Super League 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 Super League stock to make a market-neutral strategy. Peer analysis of Super League could also be used in its relative valuation, which is a method of valuing Super League by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Super League Market Strength Events
Market strength indicators help investors to evaluate how Super League stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Super League shares will generate the highest return on investment. By undertsting and applying Super League stock market strength indicators, traders can identify Super League Enterprise entry and exit signals to maximize returns.
Super League Risk Indicators
The analysis of Super League'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 Super League's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting super 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 | 6.88 | |||
| Standard Deviation | 8.76 | |||
| Variance | 76.81 |
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 Super League
The number of cover stories for Super League depends on current market conditions and Super League's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Super League 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 Super League'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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Latest Perspective From Macroaxis
Super League Short Properties
Super League's future price predictability will typically decrease when Super League's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Super League Enterprise often depends not only on the future outlook of the potential Super League's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Super League's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 745 K | |
| Cash And Short Term Investments | 1.3 M |
Check out Historical Fundamental Analysis of Super League to cross-verify your projections. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Is Interactive Media & Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Super League. If investors know Super will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Super League listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (226.96) | Revenue Per Share | Quarterly Revenue Growth (0.45) | Return On Assets | Return On Equity |
The market value of Super League Enterprise is measured differently than its book value, which is the value of Super that is recorded on the company's balance sheet. Investors also form their own opinion of Super League's value that differs from its market value or its book value, called intrinsic value, which is Super League's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Super League's market value can be influenced by many factors that don't directly affect Super League's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Super League's value and its price as these two are different measures arrived at by different means. Investors typically determine if Super League is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Super League's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.