Southwest Airlines Stock Pattern Recognition Modified Hikkake Pattern
| LUV Stock | USD 25.87 2.99 10.36% |
| Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was ten with a total number of output elements of fifty-one. The function did not return any valid pattern recognition events for the selected time horizon. The Modified Hikkake pattern may be used for determining of Southwest Airlines market turning-points.
Southwest Airlines Technical Analysis Modules
Most technical analysis of Southwest Airlines 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 Southwest from various momentum indicators to cycle indicators. When you analyze Southwest 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Southwest Airlines 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 Southwest Airlines. We use our internally-developed statistical techniques to arrive at the intrinsic value of Southwest Airlines based on widely used predictive technical indicators. In general, we focus on analyzing Southwest Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Southwest Airlines'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 Southwest Airlines's intrinsic value. In addition to deriving basic predictive indicators for Southwest Airlines, we also check how macroeconomic factors affect Southwest Airlines price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2024 | 2025 (projected) | |
| Dividend Yield | 0.0207 | 0.0218 |
| Price To Sales Ratio | 0.75 | 1.06 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Southwest Airlines' 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.
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Additional Tools for Southwest Stock Analysis
When running Southwest Airlines' price analysis, check to measure Southwest Airlines' 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 Southwest Airlines is operating at the current time. Most of Southwest Airlines' value examination focuses on studying past and present price action to predict the probability of Southwest Airlines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Southwest Airlines' price. Additionally, you may evaluate how the addition of Southwest Airlines to your portfolios can decrease your overall portfolio volatility.