ZCash Crypto Coin Forward View - Simple Moving Average
| ZEC Crypto | USD 352.46 0.54 0.15% |
ZCash Crypto Coin outlook is based on your current time horizon. Investors can use this forecasting interface to forecast ZCash crypto prices and determine the direction of ZCash's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ZCash's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the RSI of ZCash's share price is approaching 43. This usually means that the crypto coin is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling ZCash, making its price go up or down. Momentum 43
Sell Extended
Oversold | Overbought |
Using ZCash hype-based prediction, you can estimate the value of ZCash from the perspective of ZCash response to recently generated media hype and the effects of current headlines on its competitors.
ZCash Hype to Price Pattern
Investor biases related to ZCash's public news can be used to forecast risks associated with an investment in ZCash. The trend in average sentiment can be used to explain how an investor holding ZCash can time the market purely based on public headlines and social activities around ZCash. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding crypto coins that are overvalued or undervalued based on market sentiment. The correlation of ZCash's market sentiment to its price can help taders to make decisions based on the overall investors consensus about ZCash.
The Simple Moving Average forecasted value of ZCash on the next trading day is expected to be 352.46 with a mean absolute deviation of 35.63 and the sum of the absolute errors of 2,138. ZCash after-hype prediction price | .CC 350.87 |
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.
ZCash |
ZCash Additional Predictive Modules
Most predictive techniques to examine ZCash price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ZCash using various technical indicators. When you analyze ZCash 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 |
ZCash Simple Moving Average Price Forecast For the 31st of January
Given 90 days horizon, the Simple Moving Average forecasted value of ZCash on the next trading day is expected to be 352.46 with a mean absolute deviation of 35.63, mean absolute percentage error of 2,537, and the sum of the absolute errors of 2,138.Please note that although there have been many attempts to predict ZCash 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 ZCash's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ZCash Crypto Coin Forecast Pattern
ZCash Forecasted Value
In the context of forecasting ZCash'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. ZCash's downside and upside margins for the forecasting period are 342.50 and 362.42, respectively. We have considered ZCash'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of ZCash crypto coin data series using in forecasting. Note that when a statistical model is used to represent ZCash 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 | 124.1112 |
| Bias | Arithmetic mean of the errors | 6.3888 |
| MAD | Mean absolute deviation | 35.631 |
| MAPE | Mean absolute percentage error | 0.0807 |
| SAE | Sum of the absolute errors | 2137.86 |
Predictive Modules for ZCash
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ZCash. 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.ZCash After-Hype Price Density Analysis
As far as predicting the price of ZCash 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 ZCash 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 ZCash, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
ZCash Estimiated After-Hype Price Volatility
In the context of predicting ZCash's crypto coin value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on ZCash's historical news coverage. ZCash's after-hype downside and upside margins for the prediction period are 340.91 and 360.83, respectively. We have considered ZCash'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
ZCash is abnormally risky at this time. Analysis and calculation of next after-hype price of ZCash is based on 3 months time horizon.
ZCash Crypto Coin Price Outlook Analysis
Have you ever been surprised when a price of a Cryptocurrency such as ZCash is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ZCash 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 ZCash, 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 |
0.15 | 9.96 | 1.59 | 0.18 | 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 | |
352.46 | 350.87 | 0.45 |
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ZCash Hype Timeline
ZCash is at this time traded for 352.46. The entity has historical hype elasticity of -1.59, and average elasticity to hype of competition of -0.18. ZCash is forecasted to decline in value after the next headline, with the price expected to drop to 350.87. The average volatility of media hype impact on the company price is about 94.23%. The price drop on the next news is expected to be -0.45%, whereas the daily expected return is at this time at 0.15%. The volatility of related hype on ZCash is about 844.0%, with the expected price after the next announcement by competition of 352.28. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out Historical Fundamental Analysis of ZCash to cross-verify your projections.ZCash Related Hype Analysis
Having access to credible news sources related to ZCash's direct competition is more important than ever and may enhance your ability to predict ZCash's future price movements. Getting to know how ZCash'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 ZCash may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ZEC | ZCash | (10.57) | 1 per month | 9.58 | 0.05 | 17.19 | (12.71) | 52.15 | |
| CCD | Concordium | 0.0001 | 11 per month | 0.00 | (0.12) | 12.03 | (12.50) | 33.15 | |
| STETH | Staked Ether | 0.00 | 0 per month | 0.00 | (0.11) | 6.45 | (6.27) | 20.42 | |
| EIGEN | EigenLayer | (0.01) | 7 per month | 0.00 | (0.28) | 9.09 | (9.09) | 30.00 | |
| EOSDAC | EOSDAC | (0.000007) | 5 per month | 0.00 | (0.16) | 6.33 | (6.31) | 20.39 | |
| BLZ | BLZ | (0.0008) | 5 per month | 0.00 | (0.04) | 20.81 | (12.43) | 40.95 | |
| MORPHO | Morpho | (0.04) | 5 per month | 0.00 | (0.13) | 6.98 | (9.09) | 25.26 | |
| DIA | DIA | (0.0002) | 2 per month | 0.00 | (0.20) | 7.69 | (9.52) | 30.57 | |
| EM | EM | 0.00 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Other Forecasting Options for ZCash
For every potential investor in ZCash, whether a beginner or expert, ZCash's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ZCash Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ZCash. Basic forecasting techniques help filter out the noise by identifying ZCash's price trends.ZCash 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 ZCash crypto coin to make a market-neutral strategy. Peer analysis of ZCash could also be used in its relative valuation, which is a method of valuing ZCash by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ZCash Market Strength Events
Market strength indicators help investors to evaluate how ZCash 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 ZCash shares will generate the highest return on investment. By undertsting and applying ZCash crypto coin market strength indicators, traders can identify ZCash entry and exit signals to maximize returns.
| Accumulation Distribution | 7182.89 | |||
| Daily Balance Of Power | (0.17) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 353.72 | |||
| Day Typical Price | 353.3 | |||
| Price Action Indicator | (1.53) | |||
| Period Momentum Indicator | (0.54) | |||
| Relative Strength Index | 43.5 |
ZCash Risk Indicators
The analysis of ZCash'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 ZCash's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting zcash 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 | 7.43 | |||
| Semi Deviation | 9.58 | |||
| Standard Deviation | 9.99 | |||
| Variance | 99.9 | |||
| Downside Variance | 95.3 | |||
| Semi Variance | 91.86 | |||
| Expected Short fall | (8.21) |
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 ZCash
The number of cover stories for ZCash depends on current market conditions and ZCash's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that ZCash 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 ZCash'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 ZCash to cross-verify your projections. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.