HSBC Hang (Switzerland) Technical Analysis
| HSTE Etf | USD 5.88 0.02 0.34% |
As of the 30th of November, HSBC Hang owns the Downside Deviation of 2.77, market risk adjusted performance of 0.3907, and Semi Deviation of 2.52. Our technical analysis interface lets you check helpful technical drivers of HSBC Hang Seng, as well as the relationship between them. Please check out HSBC Hang Seng mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if HSBC Hang Seng is priced favorably, providing market reflects its prevailing price of 5.88 per share.
HSBC Hang Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as HSBC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HSBCHSBC |
HSBC Hang technical etf 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, etf market cycles, or different charting patterns.
HSBC Hang Seng 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 HSBC Hang Seng volatility. High ATR values indicate high volatility, and low values indicate low volatility.
HSBC Hang Seng Trend Analysis
Use this graph to draw trend lines for HSBC Hang Seng. You can use it to identify possible trend reversals for HSBC Hang 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 HSBC Hang price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.HSBC Hang Best Fit Change Line
The following chart estimates an ordinary least squares regression model for HSBC Hang Seng applied against its price change over selected period. The best fit line has a slop of 0.03 , which means HSBC Hang Seng will continue generating value for investors. It has 122 observation points and a regression sum of squares at 33.08, which is the sum of squared deviations for the predicted HSBC Hang price change compared to its average price change.About HSBC Hang 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 HSBC Hang Seng 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 HSBC Hang Seng based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on HSBC Hang Seng price pattern first instead of the macroeconomic environment surrounding HSBC Hang Seng. By analyzing HSBC Hang'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 HSBC Hang'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 HSBC Hang specific price patterns or momentum indicators. Please read more on our technical analysis page.
HSBC Hang November 30, 2024 Technical Indicators
Most technical analysis of HSBC 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 HSBC from various momentum indicators to cycle indicators. When you analyze HSBC 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 | 0.0949 | |||
| Market Risk Adjusted Performance | 0.3907 | |||
| Mean Deviation | 2.23 | |||
| Semi Deviation | 2.52 | |||
| Downside Deviation | 2.77 | |||
| Coefficient Of Variation | 875.33 | |||
| Standard Deviation | 3.11 | |||
| Variance | 9.65 | |||
| Information Ratio | 0.0699 | |||
| Jensen Alpha | 0.2293 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0786 | |||
| Treynor Ratio | 0.3807 | |||
| Maximum Drawdown | 16.81 | |||
| Value At Risk | (4.03) | |||
| Potential Upside | 6.91 | |||
| Downside Variance | 7.65 | |||
| Semi Variance | 6.36 | |||
| Expected Short fall | (2.58) | |||
| Skewness | 0.558 | |||
| Kurtosis | 1.57 |
Other Information on Investing in HSBC Etf
HSBC Hang financial ratios help investors to determine whether HSBC Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in HSBC with respect to the benefits of owning HSBC Hang security.