Ethereum Name Crypto Coin Forecast - Simple Regression
| ENS Crypto | USD 19.03 1.68 9.68% |
The Simple Regression forecasted value of Ethereum Name Service on the next trading day is expected to be 17.76 with a mean absolute deviation of 0.85 and the sum of the absolute errors of 52.09. Ethereum Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ethereum Name crypto prices and determine the direction of Ethereum Name Service's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ethereum Name's historical fundamentals, such as revenue growth or operating cash flow patterns.
Ethereum |
Ethereum Name Simple Regression Price Forecast For the 23rd of November
Given 90 days horizon, the Simple Regression forecasted value of Ethereum Name Service on the next trading day is expected to be 17.76 with a mean absolute deviation of 0.85, mean absolute percentage error of 1.17, and the sum of the absolute errors of 52.09.Please note that although there have been many attempts to predict Ethereum 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 Ethereum Name's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ethereum Name Crypto Coin Forecast Pattern
Ethereum Name Forecasted Value
In the context of forecasting Ethereum Name'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. Ethereum Name's downside and upside margins for the forecasting period are 12.87 and 22.65, respectively. We have considered Ethereum Name'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 Ethereum Name crypto coin data series using in forecasting. Note that when a statistical model is used to represent Ethereum Name 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 | 118.2661 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8539 |
| MAPE | Mean absolute percentage error | 0.0485 |
| SAE | Sum of the absolute errors | 52.0886 |
Predictive Modules for Ethereum Name
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ethereum Name Service. 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.Other Forecasting Options for Ethereum Name
For every potential investor in Ethereum, whether a beginner or expert, Ethereum Name's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ethereum Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ethereum. Basic forecasting techniques help filter out the noise by identifying Ethereum Name's price trends.Ethereum Name 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 Ethereum Name crypto coin to make a market-neutral strategy. Peer analysis of Ethereum Name could also be used in its relative valuation, which is a method of valuing Ethereum Name by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ethereum Name Service Technical and Predictive Analytics
The crypto coin market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Ethereum Name's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Ethereum Name's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ethereum Name Market Strength Events
Market strength indicators help investors to evaluate how Ethereum Name 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 Ethereum Name shares will generate the highest return on investment. By undertsting and applying Ethereum Name crypto coin market strength indicators, traders can identify Ethereum Name Service entry and exit signals to maximize returns.
Ethereum Name Risk Indicators
The analysis of Ethereum Name'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 Ethereum Name's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ethereum 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 | 3.84 | |||
| Standard Deviation | 5.33 | |||
| Variance | 28.4 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Ethereum Name Service offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ethereum Name's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ethereum Name Service Crypto.Check out Historical Fundamental Analysis of Ethereum Name to cross-verify your projections. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.