Bank Panin (Indonesia) Technical Analysis
| PNBS Stock | IDR 51.00 1.00 1.92% |
As of the 23rd of November, Bank Panin shows the Risk Adjusted Performance of 0.0134, downside deviation of 2.42, and Mean Deviation of 1.32. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Bank Panin, as well as the relationship between them.
Bank Panin Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bank, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BankBank |
Bank Panin 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.
Bank Panin Syariah 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 Bank Panin Syariah volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Bank Panin Syariah Trend Analysis
Use this graph to draw trend lines for Bank Panin Syariah. You can use it to identify possible trend reversals for Bank Panin 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 Bank Panin price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Bank Panin Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Bank Panin Syariah applied against its price change over selected period. The best fit line has a slop of 0.0079 , which may suggest that Bank Panin Syariah market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.35, which is the sum of squared deviations for the predicted Bank Panin price change compared to its average price change.About Bank Panin 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 Bank Panin Syariah 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 Bank Panin Syariah based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Bank Panin Syariah price pattern first instead of the macroeconomic environment surrounding Bank Panin Syariah. By analyzing Bank Panin'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 Bank Panin'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 Bank Panin specific price patterns or momentum indicators. Please read more on our technical analysis page.
Bank Panin November 23, 2024 Technical Indicators
Most technical analysis of Bank 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 Bank from various momentum indicators to cycle indicators. When you analyze Bank 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 | 0.0134 | |||
| Market Risk Adjusted Performance | (6.12) | |||
| Mean Deviation | 1.32 | |||
| Semi Deviation | 1.46 | |||
| Downside Deviation | 2.42 | |||
| Coefficient Of Variation | 10487.1 | |||
| Standard Deviation | 1.95 | |||
| Variance | 3.79 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | 0.0087 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (6.13) | |||
| Maximum Drawdown | 9.54 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 3.85 | |||
| Downside Variance | 5.84 | |||
| Semi Variance | 2.13 | |||
| Expected Short fall | (2.73) | |||
| Skewness | 0.4985 | |||
| Kurtosis | 0.563 |
Other Information on Investing in Bank Stock
Bank Panin financial ratios help investors to determine whether Bank Stock 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 Bank with respect to the benefits of owning Bank Panin security.