MATIC Crypto Coin Forecast - Simple Exponential Smoothing
| MATIC Crypto | USD 0.20 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of MATIC on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. MATIC Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast MATIC crypto prices and determine the direction of MATIC's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of MATIC's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the rsi of MATIC's share price is below 20 . This indicates 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 MATIC hype-based prediction, you can estimate the value of MATIC from the perspective of MATIC response to recently generated media hype and the effects of current headlines on its competitors.
MATIC Hype to Price Pattern
Investor biases related to MATIC's public news can be used to forecast risks associated with an investment in MATIC. The trend in average sentiment can be used to explain how an investor holding MATIC can time the market purely based on public headlines and social activities around MATIC. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
The Simple Exponential Smoothing forecasted value of MATIC on the next trading day is expected to be 0.20 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. MATIC after-hype prediction price | .CC 0.2 |
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.
MATIC |
MATIC Additional Predictive Modules
Most predictive techniques to examine MATIC price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for MATIC using various technical indicators. When you analyze MATIC 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 |
MATIC Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of MATIC on the next trading day is expected to be 0.20 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 MATIC 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 MATIC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
MATIC Crypto Coin Forecast Pattern
MATIC Forecasted Value
In the context of forecasting MATIC'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. MATIC's downside and upside margins for the forecasting period are 0.20 and 0.20, respectively. We have considered MATIC'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 MATIC crypto coin data series using in forecasting. Note that when a statistical model is used to represent MATIC 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 | -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 MATIC
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MATIC. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MATIC's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
MATIC After-Hype Price Prediction Density Analysis
As far as predicting the price of MATIC 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 MATIC 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 MATIC, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
MATIC Estimiated After-Hype Price Volatility
In the context of predicting MATIC's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on MATIC's historical news coverage. MATIC's after-hype downside and upside margins for the prediction period are 0.20 and 0.20, respectively. We have considered MATIC'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
MATIC is relatively risky at this time. Analysis and calculation of next after-hype price of MATIC is based on 3 months time horizon.
MATIC Crypto Coin Price Prediction Analysis
Have you ever been surprised when a price of a Cryptocurrency such as MATIC is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading MATIC 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 MATIC, 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 | 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 | ||
0.20 | 0.20 | 0.00 |
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MATIC Hype Timeline
MATIC is now traded for 0.20. This cryptocurrency is not elastic to its hype. The average crypto elasticity to the hype of similar coins is 0.0. MATIC 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 now at 0.0%. %. The volatility of related hype on MATIC is about 0.0%, with the expected price after the next announcement by competition of 0.20. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out Historical Fundamental Analysis of MATIC to cross-verify your projections.MATIC Related Hype Analysis
Having access to credible news sources related to MATIC's direct competition is more important than ever and may enhance your ability to predict MATIC's future price movements. Getting to know how MATIC'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 MATIC may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| STETH | Staked Ether | 0.00 | 0 per month | 0.00 | (0.11) | 6.45 | (5.38) | 20.42 | |
| CRO | Cronos | (5.38) | 1 per month | 0.00 | (0.12) | 9.09 | (9.09) | 27.14 | |
| WBTC | Wrapped Bitcoin | 0.00 | 0 per month | 0.00 | (0.17) | 3.37 | (5.11) | 12.57 | |
| XMR | Monero | 16.13 | 3 per month | 4.05 | 0.12 | 6.84 | (7.62) | 58.33 | |
| USDT | Tether | (5.38) | 2 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LINK | Chainlink | (5.38) | 5 per month | 0.00 | (0.14) | 7.06 | (6.27) | 20.41 | |
| USDC | USD Coin | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FTT | FTX Token | (0.04) | 4 per month | 0.00 | (0.17) | 8.00 | (8.24) | 24.33 | |
| XLM | Stellar | (0.01) | 4 per month | 0.00 | (0.15) | 5.00 | (6.25) | 17.79 |
Other Forecasting Options for MATIC
For every potential investor in MATIC, whether a beginner or expert, MATIC's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MATIC Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MATIC. Basic forecasting techniques help filter out the noise by identifying MATIC's price trends.MATIC 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 MATIC crypto coin to make a market-neutral strategy. Peer analysis of MATIC could also be used in its relative valuation, which is a method of valuing MATIC by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
MATIC Market Strength Events
Market strength indicators help investors to evaluate how MATIC 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 MATIC shares will generate the highest return on investment. By undertsting and applying MATIC crypto coin market strength indicators, traders can identify MATIC entry and exit signals to maximize returns.
Story Coverage note for MATIC
The number of cover stories for MATIC depends on current market conditions and MATIC's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that MATIC 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 MATIC'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 MATIC to cross-verify your projections. You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.