Eco Wave Stock Forward View
| WAVE Stock | USD 4.60 0.02 0.43% |
Eco Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Eco Wave stock prices and determine the direction of Eco Wave Power's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Eco Wave's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength indicator of Eco Wave's share price is below 20 . This entails that the stock 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 |
EPS Estimate Next Quarter (0.1) | EPS Estimate Current Year (0.66) | EPS Estimate Next Year (0.43) | Wall Street Target Price 14.75 | EPS Estimate Current Quarter (0.09) |
Using Eco Wave hype-based prediction, you can estimate the value of Eco Wave Power from the perspective of Eco Wave response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Eco Wave Power on the next trading day is expected to be 4.27 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.23. Eco Wave after-hype prediction price | USD 3.95 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Eco Wave to cross-verify your projections. Eco Wave Additional Predictive Modules
Most predictive techniques to examine Eco price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Eco using various technical indicators. When you analyze Eco 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 |
Eco Wave Cash Forecast
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Eco Wave's financial statements to predict how it will affect future prices.
Cash | First Reported 2007-03-31 | Previous Quarter 6.5 M | Current Value 5.6 M | Quarterly Volatility 27.8 M |
Eco Wave Naive Prediction Price Forecast For the 8th of February
Given 90 days horizon, the Naive Prediction forecasted value of Eco Wave Power on the next trading day is expected to be 4.27 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.23.Please note that although there have been many attempts to predict Eco Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Eco Wave's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Eco Wave Stock Forecast Pattern
| Backtest Eco Wave | Eco Wave Price Prediction | Research Analysis |
Eco Wave Forecasted Value
In the context of forecasting Eco Wave's Stock 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. Eco Wave's downside and upside margins for the forecasting period are 1.49 and 7.05, respectively. We have considered Eco Wave'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Eco Wave stock data series using in forecasting. Note that when a statistical model is used to represent Eco Wave stock, 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 | 116.6455 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1488 |
| MAPE | Mean absolute percentage error | 0.0243 |
| SAE | Sum of the absolute errors | 9.2284 |
Predictive Modules for Eco Wave
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eco Wave Power. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Eco Wave'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.
Eco Wave After-Hype Price Density Analysis
As far as predicting the price of Eco Wave 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 Eco Wave 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 Stock prices, such as prices of Eco Wave, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Eco Wave Estimiated After-Hype Price Volatility
In the context of predicting Eco Wave's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Eco Wave's historical news coverage. Eco Wave's after-hype downside and upside margins for the prediction period are 1.17 and 6.73, respectively. We have considered Eco Wave'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Eco Wave is somewhat reliable at this time. Analysis and calculation of next after-hype price of Eco Wave Power is based on 3 months time horizon.
Eco Wave Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Eco Wave is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Eco Wave 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 Stock 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 Eco Wave, 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 |
0.88 | 2.78 | 5.95 | 0.17 | 5 Events / Month | 5 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
4.60 | 3.95 | 14.04 |
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Eco Wave Hype Timeline
Eco Wave Power is at this time traded for 4.60. The entity has historical hype elasticity of -5.95, and average elasticity to hype of competition of 0.17. Eco is anticipated to decline in value after the next headline, with the price expected to drop to 3.95. The average volatility of media hype impact on the company price is about 41.12%. The price decrease on the next news is expected to be -14.04%, whereas the daily expected return is at this time at -0.88%. The volatility of related hype on Eco Wave is about 1416.56%, with the expected price after the next announcement by competition of 4.77. The book value of the company was at this time reported as 1.08. The company recorded a loss per share of 0.56. Eco Wave Power had not issued any dividends in recent years. The entity had 1:7 split on the 21st of June 2010. Given the investment horizon of 90 days the next anticipated press release will be in about 5 days. Check out Historical Fundamental Analysis of Eco Wave to cross-verify your projections.Eco Wave Related Hype Analysis
Having access to credible news sources related to Eco Wave's direct competition is more important than ever and may enhance your ability to predict Eco Wave's future price movements. Getting to know how Eco Wave'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 Eco Wave may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RAIN | Rain Enhancement Technologies | (0.01) | 11 per month | 0.00 | (0.15) | 11.31 | (14.38) | 48.65 | |
| SUUN | SolarBank Common | 0.03 | 11 per month | 5.45 | 0 | 12.94 | (8.92) | 31.32 | |
| ADN | Aberdeen Asset Management | 0.07 | 4 per month | 0.00 | (0.17) | 9.09 | (12.28) | 97.06 | |
| HTOO | Fusion Fuel Green | 1.26 | 14 per month | 4.81 | (0.02) | 7.51 | (7.95) | 21.24 | |
| BNRG | Brenmiller Energy Ltd | 0.05 | 10 per month | 0.00 | (0.23) | 14.08 | (15.93) | 39.05 | |
| CREG | Smart Powerr Corp | 0.06 | 6 per month | 4.00 | 0.02 | 7.41 | (6.99) | 25.57 | |
| VGAS | Verde Clean Fuels | 0.1 | 7 per month | 0.00 | (0.27) | 6.11 | (9.20) | 27.54 | |
| OPAL | OPAL Fuels | 0.01 | 5 per month | 0.00 | (0.02) | 10.89 | (10.04) | 23.34 |
Other Forecasting Options for Eco Wave
For every potential investor in Eco, whether a beginner or expert, Eco Wave's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eco Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eco. Basic forecasting techniques help filter out the noise by identifying Eco Wave's price trends.Eco Wave 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 Eco Wave stock to make a market-neutral strategy. Peer analysis of Eco Wave could also be used in its relative valuation, which is a method of valuing Eco Wave by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Eco Wave Market Strength Events
Market strength indicators help investors to evaluate how Eco Wave stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Eco Wave shares will generate the highest return on investment. By undertsting and applying Eco Wave stock market strength indicators, traders can identify Eco Wave Power entry and exit signals to maximize returns.
| Accumulation Distribution | 385.05 | |||
| Daily Balance Of Power | (0.07) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 4.69 | |||
| Day Typical Price | 4.66 | |||
| Price Action Indicator | (0.1) | |||
| Period Momentum Indicator | (0.02) |
Eco Wave Risk Indicators
The analysis of Eco Wave'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 Eco Wave's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eco stock 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 | 2.3 | |||
| Standard Deviation | 3.16 | |||
| Variance | 10.0 |
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 Eco Wave
The number of cover stories for Eco Wave depends on current market conditions and Eco Wave's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Eco Wave 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 Eco Wave'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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Eco Wave Short Properties
Eco Wave's future price predictability will typically decrease when Eco Wave's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Eco Wave Power often depends not only on the future outlook of the potential Eco Wave's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Eco Wave's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 5.5 M | |
| Cash And Short Term Investments | 9.1 M |
Check out Historical Fundamental Analysis of Eco Wave to cross-verify your projections. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Will Application Software sector continue expanding? Could Eco diversify its offerings? Factors like these will boost the valuation of Eco Wave. Anticipated expansion of Eco directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Eco Wave data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Earnings Share (0.56) | Revenue Per Share | Quarterly Revenue Growth (0.40) | Return On Assets | Return On Equity |
Understanding Eco Wave Power requires distinguishing between market price and book value, where the latter reflects Eco's accounting equity. The concept of intrinsic value - what Eco Wave's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Eco Wave's price substantially above or below its fundamental value.
Please note, there is a significant difference between Eco Wave's value and its price as these two are different measures arrived at by different means. Investors typically determine if Eco Wave is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Eco Wave's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.