Green Plains Renewable Stock Technical Analysis
| GPRE Stock | USD 10.26 0.24 2.40% |
As of the 18th of January 2025, Green Plains retains the Risk Adjusted Performance of (0.03), standard deviation of 3.89, and Market Risk Adjusted Performance of 5.03. Green Plains technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Green Plains Renewable mean deviation, information ratio, as well as the relationship between the Information Ratio and potential upside to decide if Green Plains is priced fairly, providing market reflects its last-minute price of 10.26 per share. Given that Green Plains Renewable has information ratio of (0.06), we strongly advise you to confirm Green Plains Renewable's regular market performance to make sure the company can sustain itself at a future point.
Green Plains Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Green, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GreenGreen |
Green Plains Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 20.69 | Strong Buy | 9 | Odds |
Most Green analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Green stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Green Plains Renewable, talking to its executives and customers, or listening to Green conference calls.
Green Plains 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.
Green Plains Renewable Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Green Plains Renewable volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Green Plains Renewable Trend Analysis
Use this graph to draw trend lines for Green Plains Renewable. You can use it to identify possible trend reversals for Green Plains 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 Green Plains price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Green Plains Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Green Plains Renewable applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Green Plains Renewable market price will keep on failing further. It has 122 observation points and a regression sum of squares at 69.67, which is the sum of squared deviations for the predicted Green Plains price change compared to its average price change.About Green Plains 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 Green Plains Renewable 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 Green Plains Renewable based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Green Plains Renewable price pattern first instead of the macroeconomic environment surrounding Green Plains Renewable. By analyzing Green Plains'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 Green Plains'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 Green Plains specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0133 | 0.0153 | 0.0176 | 0.0319 | Price To Sales Ratio | 0.46 | 0.45 | 0.52 | 0.43 |
Green Plains January 18, 2025 Technical Indicators
Most technical analysis of Green 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 Green from various momentum indicators to cycle indicators. When you analyze Green 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 | (0.03) | |||
| Market Risk Adjusted Performance | 5.03 | |||
| Mean Deviation | 3.12 | |||
| Coefficient Of Variation | (2,073) | |||
| Standard Deviation | 3.89 | |||
| Variance | 15.1 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | 5.02 | |||
| Maximum Drawdown | 18.54 | |||
| Value At Risk | (7.06) | |||
| Potential Upside | 5.63 | |||
| Skewness | 0.0206 | |||
| Kurtosis | (0.18) |
Complementary Tools for Green Stock analysis
When running Green Plains' price analysis, check to measure Green Plains' 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 Green Plains is operating at the current time. Most of Green Plains' value examination focuses on studying past and present price action to predict the probability of Green Plains' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Plains' price. Additionally, you may evaluate how the addition of Green Plains to your portfolios can decrease your overall portfolio volatility.
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