Zignaly Crypto Coin Forecast - Double Exponential Smoothing
| ZIG Crypto | USD 0.06 0 3.92% |
The Double Exponential Smoothing forecasted value of Zignaly on the next trading day is expected to be 0.06 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.17. Zignaly Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Zignaly crypto prices and determine the direction of Zignaly's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Zignaly's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the rsi of Zignaly's share price is below 20 . This usually means 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 Zignaly hype-based prediction, you can estimate the value of Zignaly from the perspective of Zignaly response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Zignaly on the next trading day is expected to be 0.06 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.17. Zignaly after-hype prediction price | .CC 0.06 |
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.
Zignaly |
Zignaly Additional Predictive Modules
Most predictive techniques to examine Zignaly price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Zignaly using various technical indicators. When you analyze Zignaly 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 |
Zignaly Double Exponential Smoothing Price Forecast For the 15th of January 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Zignaly on the next trading day is expected to be 0.06 with a mean absolute deviation of 0, mean absolute percentage error of 0.000015, and the sum of the absolute errors of 0.17.Please note that although there have been many attempts to predict Zignaly 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 Zignaly's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Zignaly Crypto Coin Forecast Pattern
Zignaly Forecasted Value
In the context of forecasting Zignaly'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. Zignaly's downside and upside margins for the forecasting period are 0.0006 and 126.24, respectively. We have considered Zignaly'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 Zignaly crypto coin data series using in forecasting. Note that when a statistical model is used to represent Zignaly 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 | -6.0E-4 |
| MAD | Mean absolute deviation | 0.0028 |
| MAPE | Mean absolute percentage error | 0.0413 |
| SAE | Sum of the absolute errors | 0.1665 |
Predictive Modules for Zignaly
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Zignaly. 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 Zignaly
For every potential investor in Zignaly, whether a beginner or expert, Zignaly's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Zignaly Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Zignaly. Basic forecasting techniques help filter out the noise by identifying Zignaly's price trends.Zignaly 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 Zignaly crypto coin to make a market-neutral strategy. Peer analysis of Zignaly could also be used in its relative valuation, which is a method of valuing Zignaly by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Zignaly 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 Zignaly'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 Zignaly's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Zignaly Market Strength Events
Market strength indicators help investors to evaluate how Zignaly 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 Zignaly shares will generate the highest return on investment. By undertsting and applying Zignaly crypto coin market strength indicators, traders can identify Zignaly entry and exit signals to maximize returns.
| Accumulation Distribution | 1462.72 | |||
| Daily Balance Of Power | (4.80) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 0.0587 | |||
| Day Typical Price | 0.0587 | |||
| Price Action Indicator | (0) | |||
| Period Momentum Indicator | (0) |
Zignaly Risk Indicators
The analysis of Zignaly'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 Zignaly's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting zignaly 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 | 3.33 | |||
| Standard Deviation | 4.91 | |||
| Variance | 24.11 |
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 Zignaly offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Zignaly'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 Zignaly Crypto.Check out Historical Fundamental Analysis of Zignaly to cross-verify your projections. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.