Lindblad Expeditions (Germany) Technical Analysis
| LI4 Stock | EUR 11.80 0.20 1.67% |
As of the 1st of December, Lindblad Expeditions secures the Mean Deviation of 2.63, risk adjusted performance of 0.0821, and Downside Deviation of 2.63. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Lindblad Expeditions, as well as the relationship between them. Please verify Lindblad Expeditions jensen alpha, maximum drawdown, and the relationship between the information ratio and treynor ratio to decide if Lindblad Expeditions Holdings is priced some-what accurately, providing market reflects its recent price of 11.8 per share.
Lindblad Expeditions Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lindblad, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LindbladLindblad |
Lindblad Expeditions 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.
Lindblad Expeditions 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 Lindblad Expeditions volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Lindblad Expeditions Trend Analysis
Use this graph to draw trend lines for Lindblad Expeditions Holdings. You can use it to identify possible trend reversals for Lindblad Expeditions 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 Lindblad Expeditions price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Lindblad Expeditions Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Lindblad Expeditions Holdings applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Lindblad Expeditions Holdings will continue generating value for investors. It has 122 observation points and a regression sum of squares at 216.97, which is the sum of squared deviations for the predicted Lindblad Expeditions price change compared to its average price change.About Lindblad Expeditions 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 Lindblad Expeditions Holdings 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 Lindblad Expeditions Holdings based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Lindblad Expeditions price pattern first instead of the macroeconomic environment surrounding Lindblad Expeditions. By analyzing Lindblad Expeditions'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 Lindblad Expeditions'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 Lindblad Expeditions specific price patterns or momentum indicators. Please read more on our technical analysis page.
Lindblad Expeditions December 1, 2024 Technical Indicators
Most technical analysis of Lindblad 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 Lindblad from various momentum indicators to cycle indicators. When you analyze Lindblad 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.
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0821 | |||
| Market Risk Adjusted Performance | 0.2909 | |||
| Mean Deviation | 2.63 | |||
| Semi Deviation | 2.12 | |||
| Downside Deviation | 2.63 | |||
| Coefficient Of Variation | 1040.9 | |||
| Standard Deviation | 5.51 | |||
| Variance | 30.35 | |||
| Information Ratio | 0.0711 | |||
| Jensen Alpha | 0.2834 | |||
| Total Risk Alpha | (0.40) | |||
| Sortino Ratio | 0.1491 | |||
| Treynor Ratio | 0.2809 | |||
| Maximum Drawdown | 43.19 | |||
| Value At Risk | (4.14) | |||
| Potential Upside | 5.1 | |||
| Downside Variance | 6.9 | |||
| Semi Variance | 4.48 | |||
| Expected Short fall | (4.66) | |||
| Skewness | 5.44 | |||
| Kurtosis | 38.43 |
Complementary Tools for Lindblad Stock analysis
When running Lindblad Expeditions' price analysis, check to measure Lindblad Expeditions' 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 Lindblad Expeditions is operating at the current time. Most of Lindblad Expeditions' value examination focuses on studying past and present price action to predict the probability of Lindblad Expeditions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lindblad Expeditions' price. Additionally, you may evaluate how the addition of Lindblad Expeditions to your portfolios can decrease your overall portfolio volatility.
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