Energy Transfer Lp Stock Pattern Recognition Hikkake Pattern
| ET-PI Stock | 11.96 0.07 0.59% |
| Symbol |
Recognition |
The output start index for this execution was five with a total number of output elements of fifty-six. The function generated a total of seven valid pattern recognition events for the selected time horizon. The Hikkake pattern is used for determining Energy Transfer market turning-points and continuations.
Energy Transfer Technical Analysis Modules
Most technical analysis of Energy Transfer 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 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 |
About Energy Transfer 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 Energy Transfer LP. We use our internally-developed statistical techniques to arrive at the intrinsic value of Energy Transfer LP based on widely used predictive technical indicators. In general, we focus on analyzing Energy Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Energy Transfer's daily price indicators and compare them against related drivers, such as pattern recognition 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 Energy Transfer's intrinsic value. In addition to deriving basic predictive indicators for Energy Transfer, we also check how macroeconomic factors affect Energy Transfer price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2024 (projected) | Dividend Yield | 0.0843 | 0.0832 | 0.065 | Price To Sales Ratio | 0.33 | 0.41 | 0.75 |
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Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Energy Transfer LP. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.