Greenfire Resources Stock Price Transform Average Price
| GFR Stock | 10.01 0.26 2.53% |
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Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Greenfire Resources Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
Greenfire Resources Technical Analysis Modules
Most technical analysis of Greenfire Resources 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 Greenfire from various momentum indicators to cycle indicators. When you analyze Greenfire 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 | ||
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About Greenfire Resources 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 Greenfire Resources. We use our internally-developed statistical techniques to arrive at the intrinsic value of Greenfire Resources based on widely used predictive technical indicators. In general, we focus on analyzing Greenfire Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Greenfire Resources's daily price indicators and compare them against related drivers, such as price transform 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 Greenfire Resources's intrinsic value. In addition to deriving basic predictive indicators for Greenfire Resources, we also check how macroeconomic factors affect Greenfire Resources price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2010 | 2023 | 2024 (projected) | Dividend Yield | 0.17 | 0.15 | 0.14 | Price To Sales Ratio | 1.96 | 0.52 | 0.49 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Greenfire Resources in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Greenfire Resources' short interest history, or implied volatility extrapolated from Greenfire Resources options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Macroaxis Index Invested few shares | |
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Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Greenfire Resources. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Greenfire Stock, please use our How to Invest in Greenfire Resources guide.You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.