Green Plains Renewable Stock Overlap Studies Parabolic SAR

GPRE Stock  USD 23.12  0.67  2.98%   
Green Plains overlap studies tool provides the execution environment for running the Parabolic SAR study and other technical functions against Green Plains. Green Plains value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Parabolic SAR study function is designed to identify and follow existing trends. Green Plains overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Acceleration Factor and AF Maximum to execute this module.

The output start index for this execution was one with a total number of output elements of sixty. The Parabolic SAR indicator is used to determine the direction of Green Plains Renewable's momentum and the point in time when Green Plains has higher than normal probability directional change.

Green Plains Technical Analysis Modules

Most technical analysis of Green Plains 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Green Plains Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Green Plains Renewable. We use our internally-developed statistical techniques to arrive at the intrinsic value of Green Plains Renewable based on widely used predictive technical indicators. In general, we focus on analyzing Green Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Green Plains's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Green Plains's intrinsic value. In addition to deriving basic predictive indicators for Green Plains, we also check how macroeconomic factors affect Green Plains price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.0057050.01330.01530.0146
Price To Sales Ratio0.570.460.450.43
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Green Plains' 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.
Hype
Prediction
LowEstimatedHigh
20.1823.1226.06
Details
Intrinsic
Valuation
LowRealHigh
19.7522.6925.63
Details
Naive
Forecast
LowNextHigh
21.9024.8427.78
Details
11 Analysts
Consensus
LowTargetHigh
37.6141.3345.88
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Green Plains. Your research has to be compared to or analyzed against Green Plains' peers to derive any actionable benefits. When done correctly, Green Plains' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Green Plains Renewable.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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When determining whether Green Plains Renewable is a strong investment it is important to analyze Green Plains' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Green Plains' future performance. For an informed investment choice regarding Green Stock, refer to the following important reports:
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Green Plains Renewable. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.

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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Is Green Plains' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Green Plains. If investors know Green will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Green Plains listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
2.661
Earnings Share
(1.59)
Revenue Per Share
56.037
Quarterly Revenue Growth
(0.22)
Return On Assets
(0.02)
The market value of Green Plains Renewable is measured differently than its book value, which is the value of Green that is recorded on the company's balance sheet. Investors also form their own opinion of Green Plains' value that differs from its market value or its book value, called intrinsic value, which is Green Plains' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Green Plains' market value can be influenced by many factors that don't directly affect Green Plains' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Green Plains' value and its price as these two are different measures arrived at by different means. Investors typically determine if Green Plains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Green Plains' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.