SNET Crypto Coin Forecast - Double Exponential Smoothing
| SNET Crypto | USD 0 0.000004 0.39% |
The Double Exponential Smoothing forecasted value of SNET on the next trading day is expected to be 0 with a mean absolute deviation of 0.000068 and the sum of the absolute errors of 0. SNET Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SNET crypto prices and determine the direction of SNET's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SNET's historical fundamentals, such as revenue growth or operating cash flow patterns.
The RSI of SNET's crypto coin price is about 63. This usually implies that the crypto coin is rather overbought by investors at the present time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling SNET, making its price go up or down. Momentum 63
Buy Extended
Oversold | Overbought |
Using SNET hype-based prediction, you can estimate the value of SNET from the perspective of SNET response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of SNET on the next trading day is expected to be 0 with a mean absolute deviation of 0.000068 and the sum of the absolute errors of 0. SNET after-hype prediction price | .CC 6.86E-4 |
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 crypto price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SNET |
SNET Additional Predictive Modules
Most predictive techniques to examine SNET price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SNET using various technical indicators. When you analyze SNET 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 |
SNET Double Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of SNET on the next trading day is expected to be 0 with a mean absolute deviation of 0.000068, mean absolute percentage error of 0.00000001, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict SNET Crypto Coin 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 SNET's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SNET Crypto Coin Forecast Pattern
SNET Forecasted Value
In the context of forecasting SNET's Crypto Coin 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. SNET's downside and upside margins for the forecasting period are 0.00001 and 19.37, respectively. We have considered SNET'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 SNET crypto coin data series using in forecasting. Note that when a statistical model is used to represent SNET crypto coin, 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 | None |
| MAD | Mean absolute deviation | 1.0E-4 |
| MAPE | Mean absolute percentage error | 0.1706 |
| SAE | Sum of the absolute errors | 0.0041 |
Predictive Modules for SNET
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SNET. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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.SNET After-Hype Price Prediction Density Analysis
As far as predicting the price of SNET 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 SNET 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 Crypto Coin prices, such as prices of SNET, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SNET Estimiated After-Hype Price Volatility
In the context of predicting SNET's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SNET's historical news coverage. SNET's after-hype downside and upside margins for the prediction period are 0.00 and 19.37, respectively. We have considered SNET'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
SNET is abnormally risky at this time. Analysis and calculation of next after-hype price of SNET is based on 3 months time horizon.
SNET Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as SNET is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SNET 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 Crypto 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 SNET, 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 |
2.11 | 19.37 | 0.00 | 0.00 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0 | 0.0007 | 32.15 |
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SNET Hype Timeline
SNET is at this time traded for 0. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is 0.0. SNET is forecasted to decline in value after the next headline, with the price expected to drop to 6.86E-4. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -32.15%, whereas the daily expected return is at this time at 2.11%. The volatility of related hype on SNET is about 1828125.0%, with the expected price after the next announcement by competition of 0.00. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out Historical Fundamental Analysis of SNET to cross-verify your projections.SNET Related Hype Analysis
Having access to credible news sources related to SNET's direct competition is more important than ever and may enhance your ability to predict SNET's future price movements. Getting to know how SNET'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 SNET may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SNET | SNET | 0.000055 | 1 per month | 17.01 | 0.11 | 19.74 | (15.23) | 96.17 | |
| CCD | Concordium | (0.0005) | 11 per month | 0.00 | (0.04) | 16.79 | (12.50) | 45.53 | |
| STETH | Staked Ether | 0.00 | 0 per month | 0.00 | (0.11) | 6.45 | (5.38) | 20.42 | |
| EIGEN | EigenLayer | 0.03 | 6 per month | 0.00 | (0.29) | 9.09 | (10.00) | 30.00 | |
| EOSDAC | EOSDAC | (0.000019) | 4 per month | 0.00 | (0.16) | 6.33 | (6.29) | 20.39 | |
| BLZ | BLZ | (0.01) | 2 per month | 0.00 | (0.03) | 20.81 | (12.12) | 40.95 | |
| MORPHO | Morpho | 0.00 | 5 per month | 0.00 | (0.14) | 6.98 | (9.09) | 25.99 | |
| DIA | DIA | (0.01) | 4 per month | 0.00 | (0.06) | 11.11 | (10.00) | 61.73 | |
| EM | EM | 0.00 | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for SNET
For every potential investor in SNET, whether a beginner or expert, SNET's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SNET Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SNET. Basic forecasting techniques help filter out the noise by identifying SNET's price trends.SNET 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 SNET crypto coin to make a market-neutral strategy. Peer analysis of SNET could also be used in its relative valuation, which is a method of valuing SNET by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SNET Market Strength Events
Market strength indicators help investors to evaluate how SNET crypto coin reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SNET shares will generate the highest return on investment. By undertsting and applying SNET crypto coin market strength indicators, traders can identify SNET entry and exit signals to maximize returns.
| Accumulation Distribution | 6620.3 | |||
| Daily Balance Of Power | (0.50) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.001 | |||
| Day Typical Price | 0.001 | |||
| Price Action Indicator | (0.000004) | |||
| Period Momentum Indicator | (0.000004) | |||
| Relative Strength Index | 63.05 |
SNET Risk Indicators
The analysis of SNET'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 SNET's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting snet crypto coin 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 | 9.9 | |||
| Semi Deviation | 17.01 | |||
| Standard Deviation | 18.92 | |||
| Variance | 358.11 | |||
| Downside Variance | 402.94 | |||
| Semi Variance | 289.29 | |||
| Expected Short fall | (10.52) |
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 SNET
The number of cover stories for SNET depends on current market conditions and SNET's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SNET 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 SNET'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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Check out Historical Fundamental Analysis of SNET to cross-verify your projections. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.