BSE (India) Technical Analysis

BSE
BSESN -- India Index  

 36,021  177.72  0.50%

As of the 5th of July, BSE shows the mean deviation of 4.13, downside deviation of 8.14, and risk adjusted performance of 0.0825. Our technical analysis interface gives you tools to check helpful technical drivers of BSE, as well as the relationship between them. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We have analyzed nineteen technical drivers for BSE, which can be compared to its rivals. Please confirm BSE coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and semi variance to decide if BSE is priced favorably, providing market reflects its regular price of 36021.42 per share.

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BSE technical index 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.
A focus of BSE technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of BSE trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

BSE Trend Analysis

Use this graph to draw trend lines for BSE. You can use it to identify possible trend reversals for BSE 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 BSE price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

BSE Best Fit Change Line

The following chart estimates an ordinary least squares regression model for BSE applied against its price change over selected period. The best fit line has a slop of   89.65  , which means BSE will continue producing value for investors. It has 122 observation points and a regression sum of squares at 3.0399106578E8, which is the sum of squared deviations for the predicted BSE price change compared to its average price change.

About BSE 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 BSE 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 BSE based on its technical analysis. In general, a bottom-up approach, as applied to this index, focuses on BSE stock first instead of the macroeconomic environment surrounding BSE . By analyzing BSE's financials, daily price indicators, and its related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of BSE'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 BSE specific price patterns or momentum indicators. Please read more on our technical analysis page.

BSE July 5, 2020 Technical Indicators

Most technical analysis of BSE stock 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 BSE from various momentum indicators to cycle indicators. When you analyze BSE 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 Performance0.0825
Mean Deviation4.13
Semi Deviation7.85
Downside Deviation8.14
Coefficient Of Variation2448.03
Standard Deviation7.9
Variance62.42
Information Ratio0.013
Total Risk Alpha(0.59)
Sortino Ratio0.0126
Maximum Drawdown60.27
Value At Risk(10.33)
Potential Upside6.64
Downside Variance66.33
Semi Variance61.58
Expected Short fall(4.10)
Skewness0.4179
Kurtosis8.14
Check out Your Current Watchlist. Please also try Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.
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