Hostelworld Group (UK) Technical Analysis
HSW Stock | 132.00 1.00 0.76% |
As of the 1st of December, Hostelworld Group retains the Market Risk Adjusted Performance of (0.38), risk adjusted performance of (0.06), and Standard Deviation of 1.56. Hostelworld Group technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Hostelworld Group PLC standard deviation, as well as the relationship between the treynor ratio and potential upside to decide if Hostelworld Group is priced fairly, providing market reflects its last-minute price of 132.0 per share.
Hostelworld Group Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hostelworld, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HostelworldHostelworld |
Hostelworld Group 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.
Hostelworld Group PLC Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Hostelworld Group PLC volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Hostelworld Group PLC Trend Analysis
Use this graph to draw trend lines for Hostelworld Group PLC. You can use it to identify possible trend reversals for Hostelworld Group 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 Hostelworld Group price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Hostelworld Group Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Hostelworld Group PLC applied against its price change over selected period. The best fit line has a slop of 0.16 , which may suggest that Hostelworld Group PLC market price will keep on failing further. It has 122 observation points and a regression sum of squares at 971.97, which is the sum of squared deviations for the predicted Hostelworld Group price change compared to its average price change.About Hostelworld Group 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 Hostelworld Group PLC 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 Hostelworld Group PLC based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hostelworld Group PLC price pattern first instead of the macroeconomic environment surrounding Hostelworld Group PLC. By analyzing Hostelworld Group'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 Hostelworld Group'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 Hostelworld Group specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hostelworld Group December 1, 2024 Technical Indicators
Most technical analysis of Hostelworld 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 Hostelworld from various momentum indicators to cycle indicators. When you analyze Hostelworld 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 | (0.06) | |||
Market Risk Adjusted Performance | (0.38) | |||
Mean Deviation | 1.22 | |||
Coefficient Of Variation | (1,202) | |||
Standard Deviation | 1.56 | |||
Variance | 2.45 | |||
Information Ratio | (0.17) | |||
Jensen Alpha | (0.19) | |||
Total Risk Alpha | (0.40) | |||
Treynor Ratio | (0.39) | |||
Maximum Drawdown | 6.17 | |||
Value At Risk | (2.54) | |||
Potential Upside | 2.68 | |||
Skewness | 0.006 | |||
Kurtosis | 0.0707 |
Complementary Tools for Hostelworld Stock analysis
When running Hostelworld Group's price analysis, check to measure Hostelworld Group'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 Hostelworld Group is operating at the current time. Most of Hostelworld Group's value examination focuses on studying past and present price action to predict the probability of Hostelworld Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hostelworld Group's price. Additionally, you may evaluate how the addition of Hostelworld Group to your portfolios can decrease your overall portfolio volatility.
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Equity Valuation Check real value of public entities based on technical and fundamental data |