Eco Wave Power Stock Technical Analysis
| WAVE Stock | USD 9.87 0.05 0.51% |
As of the 1st of December, Eco Wave shows the Mean Deviation of 8.07, coefficient of variation of 580.84, and Downside Deviation of 9.14. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Eco Wave, as well as the relationship between them. Please confirm Eco Wave Power information ratio, potential upside, as well as the relationship between the Potential Upside and kurtosis to decide if Eco Wave Power is priced favorably, providing market reflects its regular price of 9.87 per share. Given that Eco Wave has jensen alpha of 1.98, we urge you to verify Eco Wave Power's prevailing market performance to make sure the company can sustain itself at a future point.
Eco Wave Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Eco, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EcoEco |
Eco Wave technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Eco Wave Power Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Eco Wave Power volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Eco Wave Power Trend Analysis
Use this graph to draw trend lines for Eco Wave Power. You can use it to identify possible trend reversals for Eco Wave as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Eco Wave price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Eco Wave Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Eco Wave Power applied against its price change over selected period. The best fit line has a slop of 0.11 , which means Eco Wave Power will continue generating value for investors. It has 122 observation points and a regression sum of squares at 498.48, which is the sum of squared deviations for the predicted Eco Wave price change compared to its average price change.About Eco Wave Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Eco Wave Power on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Eco Wave Power based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Eco Wave Power price pattern first instead of the macroeconomic environment surrounding Eco Wave Power. By analyzing Eco Wave's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Eco Wave's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Eco Wave specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 (projected) | Interest Debt Per Share | 0.2 | 0.21 | Revenue Per Share | 0.004685 | 0.0551 |
Eco Wave December 1, 2024 Technical Indicators
Most technical analysis of Eco help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Eco from various momentum indicators to cycle indicators. When you analyze Eco charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1409 | |||
| Market Risk Adjusted Performance | (2.61) | |||
| Mean Deviation | 8.07 | |||
| Semi Deviation | 7.76 | |||
| Downside Deviation | 9.14 | |||
| Coefficient Of Variation | 580.84 | |||
| Standard Deviation | 11.04 | |||
| Variance | 121.78 | |||
| Information Ratio | 0.1597 | |||
| Jensen Alpha | 1.98 | |||
| Total Risk Alpha | 0.0477 | |||
| Sortino Ratio | 0.1929 | |||
| Treynor Ratio | (2.62) | |||
| Maximum Drawdown | 59.17 | |||
| Value At Risk | (14.13) | |||
| Potential Upside | 20.27 | |||
| Downside Variance | 83.49 | |||
| Semi Variance | 60.18 | |||
| Expected Short fall | (9.09) | |||
| Skewness | 1.03 | |||
| Kurtosis | 2.68 |
Complementary Tools for Eco Stock analysis
When running Eco Wave's price analysis, check to measure Eco Wave's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Eco Wave is operating at the current time. Most of Eco Wave's value examination focuses on studying past and present price action to predict the probability of Eco Wave's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eco Wave's price. Additionally, you may evaluate how the addition of Eco Wave to your portfolios can decrease your overall portfolio volatility.
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