Shinhan Inverse (Korea) Technical Analysis
| 500007 Stock | 3,520 20.00 0.57% |
As of the 23rd of November, Shinhan Inverse has the Variance of 4.19, coefficient of variation of (1,283), and Risk Adjusted Performance of (0.05). Shinhan Inverse technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.
Shinhan Inverse Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shinhan, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShinhanShinhan |
Shinhan Inverse 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.
Shinhan Inverse Silver 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 Shinhan Inverse Silver volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Shinhan Inverse Silver Trend Analysis
Use this graph to draw trend lines for Shinhan Inverse Silver. You can use it to identify possible trend reversals for Shinhan Inverse 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 Shinhan Inverse price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Shinhan Inverse Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Shinhan Inverse Silver applied against its price change over selected period. The best fit line has a slop of 6.46 , which may suggest that Shinhan Inverse Silver market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1576129.63, which is the sum of squared deviations for the predicted Shinhan Inverse price change compared to its average price change.About Shinhan Inverse 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 Shinhan Inverse Silver 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 Shinhan Inverse Silver based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shinhan Inverse Silver price pattern first instead of the macroeconomic environment surrounding Shinhan Inverse Silver. By analyzing Shinhan Inverse'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 Shinhan Inverse'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 Shinhan Inverse specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shinhan Inverse November 23, 2024 Technical Indicators
Most technical analysis of Shinhan 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 Shinhan from various momentum indicators to cycle indicators. When you analyze Shinhan 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 | (0.05) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 1.59 | |||
| Coefficient Of Variation | (1,283) | |||
| Standard Deviation | 2.05 | |||
| Variance | 4.19 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.49) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 10.44 | |||
| Value At Risk | (3.34) | |||
| Potential Upside | 3.41 | |||
| Skewness | (0.28) | |||
| Kurtosis | 0.4499 |
Complementary Tools for Shinhan Stock analysis
When running Shinhan Inverse's price analysis, check to measure Shinhan Inverse'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 Shinhan Inverse is operating at the current time. Most of Shinhan Inverse's value examination focuses on studying past and present price action to predict the probability of Shinhan Inverse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shinhan Inverse's price. Additionally, you may evaluate how the addition of Shinhan Inverse to your portfolios can decrease your overall portfolio volatility.
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