Bank Negara Indonesia Stock Technical Analysis
| PTBRY Stock | USD 14.41 0.58 3.87% |
As of the 14th of December 2024, Bank Negara shows the Standard Deviation of 4.93, risk adjusted performance of (0.03), and Mean Deviation of 3.95. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Bank Negara, as well as the relationship between them.
Bank Negara 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 Negara 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.
Bank Negara Indonesia Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-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 Bank Negara Indonesia volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Bank Negara Indonesia Trend Analysis
Use this graph to draw trend lines for Bank Negara Indonesia. You can use it to identify possible trend reversals for Bank Negara 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 Negara price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Bank Negara Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Bank Negara Indonesia applied against its price change over selected period. The best fit line has a slop of 0.07 , which may suggest that Bank Negara Indonesia market price will keep on failing further. It has 122 observation points and a regression sum of squares at 172.87, which is the sum of squared deviations for the predicted Bank Negara price change compared to its average price change.About Bank Negara 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 Negara Indonesia 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 Negara Indonesia based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Bank Negara Indonesia price pattern first instead of the macroeconomic environment surrounding Bank Negara Indonesia. By analyzing Bank Negara'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 Negara'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 Negara specific price patterns or momentum indicators. Please read more on our technical analysis page.
Bank Negara December 14, 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 | (0.03) | |||
| Market Risk Adjusted Performance | 0.3934 | |||
| Mean Deviation | 3.95 | |||
| Coefficient Of Variation | (1,685) | |||
| Standard Deviation | 4.93 | |||
| Variance | 24.27 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.91) | |||
| Treynor Ratio | 0.3834 | |||
| Maximum Drawdown | 23.03 | |||
| Value At Risk | (7.10) | |||
| Potential Upside | 7.81 | |||
| Skewness | (0.17) | |||
| Kurtosis | 0.0737 |
Bank Negara December 14, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Bank stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 14.41 | ||
| Day Typical Price | 14.41 | ||
| Price Action Indicator | (0.29) |
Additional Tools for Bank Pink Sheet Analysis
When running Bank Negara's price analysis, check to measure Bank Negara'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 Bank Negara is operating at the current time. Most of Bank Negara's value examination focuses on studying past and present price action to predict the probability of Bank Negara's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank Negara's price. Additionally, you may evaluate how the addition of Bank Negara to your portfolios can decrease your overall portfolio volatility.