RATING Crypto Coin Forecast - Simple Regression
| RATING Crypto | USD 0.0001 0.000003 2.54% |
The Simple Regression forecasted value of RATING on the next trading day is expected to be 0.000099 with a mean absolute deviation of 0.00002 and the sum of the absolute errors of 0. RATING Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast RATING crypto prices and determine the direction of RATING's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of RATING's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the rsi of RATING's share price is below 20 indicating that the crypto coin 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 RATING hype-based prediction, you can estimate the value of RATING from the perspective of RATING response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of RATING on the next trading day is expected to be 0.000099 with a mean absolute deviation of 0.00002 and the sum of the absolute errors of 0. RATING after-hype prediction price | .CC 1.26E-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.
RATING |
RATING Additional Predictive Modules
Most predictive techniques to examine RATING price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for RATING using various technical indicators. When you analyze RATING 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 |
RATING Simple Regression Price Forecast For the 25th of January
Given 90 days horizon, the Simple Regression forecasted value of RATING on the next trading day is expected to be 0.000099 with a mean absolute deviation of 0.00002, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict RATING 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 RATING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
RATING Crypto Coin Forecast Pattern
RATING Forecasted Value
In the context of forecasting RATING'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. RATING's downside and upside margins for the forecasting period are 0.000001 and 10.48, respectively. We have considered RATING'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 Regression forecasting method's relative quality and the estimations of the prediction error of RATING crypto coin data series using in forecasting. Note that when a statistical model is used to represent RATING 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 | 98.8153 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.1921 |
| SAE | Sum of the absolute errors | 0.0012 |
Predictive Modules for RATING
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as RATING. 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.RATING After-Hype Price Prediction Density Analysis
As far as predicting the price of RATING 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 RATING 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 RATING, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
RATING Estimiated After-Hype Price Volatility
In the context of predicting RATING's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on RATING's historical news coverage. RATING's after-hype downside and upside margins for the prediction period are 0.00 and 10.48, respectively. We have considered RATING'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
RATING is abnormally risky at this time. Analysis and calculation of next after-hype price of RATING is based on 3 months time horizon.
RATING Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as RATING is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading RATING 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 RATING, 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 |
0.70 | 10.48 | 0.00 | 0.03 | 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 | ||
0.0001 | 0.0001 | 9.56 |
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RATING Hype Timeline
RATING is at this time traded for 0.0001. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is 0.03. RATING is anticipated to increase in value after the next headline, with the price projected to jump to 1.26E-4 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is anticipated to be 9.56%, whereas the daily expected return is at this time at 0.7%. The volatility of related hype on RATING is about 24827.65%, with the expected price after the next announcement by competition of 0.03. RATING's management efficiency ratios could be used to measure how well RATING manages its routine affairs as well as how well it operates its assets and liabilities. Assuming the 90 days trading horizon the next anticipated press release will be very soon. Check out Historical Fundamental Analysis of RATING to cross-verify your projections.RATING Related Hype Analysis
Having access to credible news sources related to RATING's direct competition is more important than ever and may enhance your ability to predict RATING's future price movements. Getting to know how RATING'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 RATING may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RATING | RATING | (0.000001) | 1 per month | 9.62 | 0.04 | 18.42 | (11.22) | 70.23 | |
| CCD | Concordium | (0.0005) | 8 per month | 0.00 | (0.03) | 16.79 | (12.50) | 45.53 | |
| STETH | Staked Ether | 0.00 | 0 per month | 0.00 | (0.12) | 6.45 | (5.38) | 20.42 | |
| EIGEN | EigenLayer | 0.00 | 6 per month | 0.00 | (0.28) | 9.09 | (10.00) | 30.00 | |
| EOSDAC | EOSDAC | 0.00 | 6 per month | 0.00 | (0.16) | 6.33 | (6.29) | 20.39 | |
| BLZ | BLZ | 0.31 | 3 per month | 0.00 | (0.04) | 20.81 | (12.43) | 40.95 | |
| MORPHO | Morpho | 0.00 | 4 per month | 0.00 | (0.15) | 6.98 | (9.09) | 25.26 | |
| DIA | DIA | 0.07 | 2 per month | 0.00 | (0.05) | 11.11 | (10.00) | 61.73 | |
| EM | EM | 0.00 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for RATING
For every potential investor in RATING, whether a beginner or expert, RATING's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. RATING Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in RATING. Basic forecasting techniques help filter out the noise by identifying RATING's price trends.RATING 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 RATING crypto coin to make a market-neutral strategy. Peer analysis of RATING could also be used in its relative valuation, which is a method of valuing RATING by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
RATING Market Strength Events
Market strength indicators help investors to evaluate how RATING 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 RATING shares will generate the highest return on investment. By undertsting and applying RATING crypto coin market strength indicators, traders can identify RATING entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 | |||
| Price Action Indicator | (0.000001) | |||
| Period Momentum Indicator | (0.000003) |
RATING Risk Indicators
The analysis of RATING'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 RATING's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rating 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 | 6.65 | |||
| Semi Deviation | 9.62 | |||
| Standard Deviation | 10.37 | |||
| Variance | 107.58 | |||
| Downside Variance | 117.03 | |||
| Semi Variance | 92.47 | |||
| Expected Short fall | (8.97) |
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 RATING
The number of cover stories for RATING depends on current market conditions and RATING's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that RATING 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 RATING'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 RATING to cross-verify your projections. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.