Energy Recovery Stock Technical Analysis
| ERII Stock | USD 13.87 0.04 0.29% |
As of the 25th of July, Energy Recovery shows the Mean Deviation of 1.76, standard deviation of 3.21, and Variance of 10.28. Energy Recovery technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Energy Recovery Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Energy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EnergyEnergy Recovery's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Energy Recovery 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.
Energy Recovery Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Energy Recovery volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Energy Recovery Trend Analysis
Use this graph to draw trend lines for Energy Recovery. You can use it to identify possible trend reversals for Energy Recovery 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 Energy Recovery price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Energy Recovery Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Energy Recovery applied against its price change over selected period. The best fit line has a slop of 0.0097 , which may suggest that Energy Recovery market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.54, which is the sum of squared deviations for the predicted Energy Recovery price change compared to its average price change.About Energy Recovery 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 Energy Recovery 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 Energy Recovery based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Energy Recovery price pattern first instead of the macroeconomic environment surrounding Energy Recovery. By analyzing Energy Recovery'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 Energy Recovery'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 Energy Recovery specific price patterns or momentum indicators. Please read more on our technical analysis page.
Energy Recovery July 25, 2025 Technical Indicators
Most technical analysis of Energy 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 Energy from various momentum indicators to cycle indicators. When you analyze Energy 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 | (0.01) | |||
| Market Risk Adjusted Performance | 0.1934 | |||
| Mean Deviation | 1.76 | |||
| Coefficient Of Variation | (4,691) | |||
| Standard Deviation | 3.21 | |||
| Variance | 10.28 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | 0.0211 | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | 0.1834 | |||
| Maximum Drawdown | 21.15 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 2.6 | |||
| Skewness | (3.00) | |||
| Kurtosis | 18.47 |
Energy Recovery July 25, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Energy stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | (0.14) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 13.89 | ||
| Day Typical Price | 13.88 | ||
| Price Action Indicator | (0.04) | ||
| Market Facilitation Index | 0.29 |
Complementary Tools for Energy Stock analysis
When running Energy Recovery's price analysis, check to measure Energy Recovery'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 Energy Recovery is operating at the current time. Most of Energy Recovery's value examination focuses on studying past and present price action to predict the probability of Energy Recovery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Energy Recovery's price. Additionally, you may evaluate how the addition of Energy Recovery to your portfolios can decrease your overall portfolio volatility.
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