QNB Finans (Turkey) Technical Analysis
| QNBFL Stock | TRY 92.90 3.20 3.33% |
As of the 26th of November, QNB Finans owns the coefficient of variation of (2,252), and Market Risk Adjusted Performance of (0.46). In relation to fundamental indicators, the technical analysis model allows you to check practical technical drivers of QNB Finans Finansal, as well as the relationship between them.
QNB Finans Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as QNB, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QNBQNB |
QNB Finans 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.
QNB Finans Finansal Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 QNB Finans Finansal volatility. High ATR values indicate high volatility, and low values indicate low volatility.
QNB Finans Finansal Trend Analysis
Use this graph to draw trend lines for QNB Finans Finansal. You can use it to identify possible trend reversals for QNB Finans 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 QNB Finans price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.QNB Finans Best Fit Change Line
The following chart estimates an ordinary least squares regression model for QNB Finans Finansal applied against its price change over selected period. The best fit line has a slop of 0.48 , which may suggest that QNB Finans Finansal market price will keep on failing further. It has 122 observation points and a regression sum of squares at 8703.84, which is the sum of squared deviations for the predicted QNB Finans price change compared to its average price change.About QNB Finans 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 QNB Finans Finansal 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 QNB Finans Finansal based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on QNB Finans Finansal price pattern first instead of the macroeconomic environment surrounding QNB Finans Finansal. By analyzing QNB Finans'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 QNB Finans'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 QNB Finans specific price patterns or momentum indicators. Please read more on our technical analysis page.
QNB Finans November 26, 2024 Technical Indicators
Most technical analysis of QNB 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 QNB from various momentum indicators to cycle indicators. When you analyze QNB 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 | (0.46) | |||
| Mean Deviation | 2.32 | |||
| Coefficient Of Variation | (2,252) | |||
| Standard Deviation | 3.49 | |||
| Variance | 12.19 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (0.47) | |||
| Maximum Drawdown | 19.97 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 9.87 | |||
| Skewness | 1.07 | |||
| Kurtosis | 3.07 |
Complementary Tools for QNB Stock analysis
When running QNB Finans' price analysis, check to measure QNB Finans' 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 QNB Finans is operating at the current time. Most of QNB Finans' value examination focuses on studying past and present price action to predict the probability of QNB Finans' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QNB Finans' price. Additionally, you may evaluate how the addition of QNB Finans to your portfolios can decrease your overall portfolio volatility.
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