Airbnb Inc Stock Technical Analysis
ABNB Stock | USD 138.28 1.39 1.00% |
As of the 28th of November, Airbnb shows the Risk Adjusted Performance of 0.1223, downside deviation of 2.21, and Mean Deviation of 1.42. Airbnb Inc technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Airbnb Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Airbnb, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AirbnbAirbnb |
Airbnb Analyst Consensus
Target Price | Advice | # of Analysts | |
134.18 | Buy | 46 | Odds |
Most Airbnb analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Airbnb stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Airbnb Inc, talking to its executives and customers, or listening to Airbnb conference calls.
Airbnb 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.
Airbnb Inc Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Airbnb Inc volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Airbnb Inc Trend Analysis
Use this graph to draw trend lines for Airbnb Inc. You can use it to identify possible trend reversals for Airbnb 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 Airbnb price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Airbnb Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Airbnb Inc applied against its price change over selected period. The best fit line has a slop of 0.33 , which means Airbnb Inc will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4192.0, which is the sum of squared deviations for the predicted Airbnb price change compared to its average price change.About Airbnb 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 Airbnb Inc 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 Airbnb Inc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Airbnb Inc price pattern first instead of the macroeconomic environment surrounding Airbnb Inc. By analyzing Airbnb'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 Airbnb'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 Airbnb specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Graham Number | 9.98 | 24.16 | 46.58 | 48.91 | Receivables Turnover | 53.5 | 52.17 | 1.69 | 1.61 |
Airbnb November 28, 2024 Technical Indicators
Most technical analysis of Airbnb 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 Airbnb from various momentum indicators to cycle indicators. When you analyze Airbnb 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.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.1223 | |||
Market Risk Adjusted Performance | 0.3146 | |||
Mean Deviation | 1.42 | |||
Semi Deviation | 1.91 | |||
Downside Deviation | 2.21 | |||
Coefficient Of Variation | 658.48 | |||
Standard Deviation | 2.01 | |||
Variance | 4.05 | |||
Information Ratio | 0.0871 | |||
Jensen Alpha | 0.1788 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | 0.0792 | |||
Treynor Ratio | 0.3046 | |||
Maximum Drawdown | 13.83 | |||
Value At Risk | (1.99) | |||
Potential Upside | 3.64 | |||
Downside Variance | 4.9 | |||
Semi Variance | 3.65 | |||
Expected Short fall | (1.51) | |||
Skewness | (0.96) | |||
Kurtosis | 5.27 |
Complementary Tools for Airbnb Stock analysis
When running Airbnb's price analysis, check to measure Airbnb's 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 Airbnb is operating at the current time. Most of Airbnb's value examination focuses on studying past and present price action to predict the probability of Airbnb's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airbnb's price. Additionally, you may evaluate how the addition of Airbnb to your portfolios can decrease your overall portfolio volatility.
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Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume |