Bank Of Nova Stock Technical Analysis
| BNS Stock | CAD 78.91 0.41 0.52% |
As of the 25th of November, Bank of Nova Scotia shows the Coefficient Of Variation of 257.11, mean deviation of 0.6674, and Risk Adjusted Performance of 0.2991. Bank of Nova Scotia 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 Nova Scotia 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 Nova Scotia 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 of Nova Scotia Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 of Nova Scotia volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Bank of Nova Scotia Trend Analysis
Use this graph to draw trend lines for Bank of Nova. You can use it to identify possible trend reversals for Bank of Nova Scotia 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 Nova Scotia price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Bank of Nova Scotia Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Bank of Nova applied against its price change over selected period. The best fit line has a slop of 0.16 , which means Bank of Nova will continue generating value for investors. It has 122 observation points and a regression sum of squares at 934.24, which is the sum of squared deviations for the predicted Bank of Nova Scotia price change compared to its average price change.About Bank of Nova Scotia 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 of Nova 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 of Nova based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Bank of Nova Scotia price pattern first instead of the macroeconomic environment surrounding Bank of Nova Scotia. By analyzing Bank of Nova Scotia'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 Nova Scotia'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 Nova Scotia specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0648 | 0.0807 | 0.0726 | 0.0762 | Price To Sales Ratio | 2.53 | 2.3 | 2.07 | 2.39 |
Bank of Nova Scotia November 25, 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 | 0.2991 | |||
| Market Risk Adjusted Performance | (15.51) | |||
| Mean Deviation | 0.6674 | |||
| Downside Deviation | 0.683 | |||
| Coefficient Of Variation | 257.11 | |||
| Standard Deviation | 0.8357 | |||
| Variance | 0.6984 | |||
| Information Ratio | 0.2325 | |||
| Jensen Alpha | 0.3175 | |||
| Total Risk Alpha | 0.1834 | |||
| Sortino Ratio | 0.2844 | |||
| Treynor Ratio | (15.52) | |||
| Maximum Drawdown | 4.38 | |||
| Value At Risk | (0.96) | |||
| Potential Upside | 1.79 | |||
| Downside Variance | 0.4665 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.82) | |||
| Skewness | 0.0915 | |||
| Kurtosis | 0.1373 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of Nova. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.