Hang Lung Properties Stock Technical Analysis
| HLPPY Stock | USD 3.91 0.21 5.10% |
As of the 23rd of November, Hang Lung retains the Downside Deviation of 3.89, risk adjusted performance of 0.0429, and Market Risk Adjusted Performance of 0.7983. Hang Lung 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.
Hang Lung Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hang, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HangHang |
Hang Lung technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Hang Lung Properties Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Hang Lung Properties volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Hang Lung Properties Trend Analysis
Use this graph to draw trend lines for Hang Lung Properties. You can use it to identify possible trend reversals for Hang Lung 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 Hang Lung price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Hang Lung Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Hang Lung Properties applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Hang Lung Properties will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.52, which is the sum of squared deviations for the predicted Hang Lung price change compared to its average price change.About Hang Lung 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 Hang Lung Properties 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 Hang Lung Properties based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hang Lung Properties price pattern first instead of the macroeconomic environment surrounding Hang Lung Properties. By analyzing Hang Lung'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 Hang Lung'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 Hang Lung specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hang Lung November 23, 2024 Technical Indicators
Most technical analysis of Hang 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 Hang from various momentum indicators to cycle indicators. When you analyze Hang 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 | 0.0429 | |||
| Market Risk Adjusted Performance | 0.7983 | |||
| Mean Deviation | 2.48 | |||
| Semi Deviation | 3.61 | |||
| Downside Deviation | 3.89 | |||
| Coefficient Of Variation | 2203.54 | |||
| Standard Deviation | 4.01 | |||
| Variance | 16.06 | |||
| Information Ratio | 0.0127 | |||
| Jensen Alpha | 0.1455 | |||
| Total Risk Alpha | (0.46) | |||
| Sortino Ratio | 0.0131 | |||
| Treynor Ratio | 0.7883 | |||
| Maximum Drawdown | 27.37 | |||
| Value At Risk | (5.10) | |||
| Potential Upside | 7.73 | |||
| Downside Variance | 15.15 | |||
| Semi Variance | 13.07 | |||
| Expected Short fall | (2.74) | |||
| Skewness | 0.3636 | |||
| Kurtosis | 4.54 |
Additional Tools for Hang Pink Sheet Analysis
When running Hang Lung's price analysis, check to measure Hang Lung'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 Hang Lung is operating at the current time. Most of Hang Lung's value examination focuses on studying past and present price action to predict the probability of Hang Lung's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hang Lung's price. Additionally, you may evaluate how the addition of Hang Lung to your portfolios can decrease your overall portfolio volatility.