Bank Of (Brazil) Technical Analysis
| BONY34 Stock | BRL 482.23 14.58 3.12% |
As of the 29th of November, Bank Of shows the Risk Adjusted Performance of 0.2625, mean deviation of 1.01, and Semi Deviation of 0.8132. The Bank technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Bank Of 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 Of 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.
The Bank Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 The Bank volatility. High ATR values indicate high volatility, and low values indicate low volatility.
The Bank Trend Analysis
Use this graph to draw trend lines for The Bank of. You can use it to identify possible trend reversals for Bank Of 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 Of price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Bank Of Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Bank of applied against its price change over selected period. The best fit line has a slop of 1.68 , which means The Bank of will continue generating value for investors. It has 122 observation points and a regression sum of squares at 107246.55, which is the sum of squared deviations for the predicted Bank Of price change compared to its average price change.About Bank Of 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 The Bank of 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 The Bank of based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on The Bank price pattern first instead of the macroeconomic environment surrounding The Bank. By analyzing Bank Of'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 Of'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 Of specific price patterns or momentum indicators. Please read more on our technical analysis page.
Bank Of November 29, 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 | 0.2625 | |||
| Market Risk Adjusted Performance | (2.46) | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 0.8132 | |||
| Downside Deviation | 1.29 | |||
| Coefficient Of Variation | 296.42 | |||
| Standard Deviation | 1.28 | |||
| Variance | 1.63 | |||
| Information Ratio | 0.2392 | |||
| Jensen Alpha | 0.4405 | |||
| Total Risk Alpha | 0.2286 | |||
| Sortino Ratio | 0.2364 | |||
| Treynor Ratio | (2.47) | |||
| Maximum Drawdown | 5.1 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 2.26 | |||
| Downside Variance | 1.67 | |||
| Semi Variance | 0.6613 | |||
| Expected Short fall | (1.18) | |||
| Skewness | (0.23) | |||
| Kurtosis | (0.43) |
Complementary Tools for Bank Stock analysis
When running Bank Of's price analysis, check to measure Bank Of'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 Of is operating at the current time. Most of Bank Of's value examination focuses on studying past and present price action to predict the probability of Bank Of'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 Of's price. Additionally, you may evaluate how the addition of Bank Of to your portfolios can decrease your overall portfolio volatility.
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