NYSE Technical Analysis

NYS
NYA -- USA Index  

 11,992  89.97  0.76%

As of the 5th of July, NYSE secures the risk adjusted performance of 0.2734, and mean deviation of 2.1. Our technical analysis interface lets you check available technical drivers of NYSE, as well as the relationship between them. Strictly speaking, you can use this information to find out if the index will indeed mirror its model of past prices, or the prices will eventually revert. We were able to interpolate nineteen technical drivers for NYSE, which can be compared to its peers in the industry. Please verify NYSE coefficient of variation, as well as the relationship between the treynor ratio and semi variance to decide if NYSE is priced favorably, providing market reflects its recent price of 11991.52 per share.

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NYSE 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 NYSE technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of NYSE 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...

NYSE Trend Analysis

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

NYSE Best Fit Change Line

The following chart estimates an ordinary least squares regression model for NYSE applied against its price change over selected period. The best fit line has a slop of   24.75  , which means NYSE will continue producing value for investors. It has 122 observation points and a regression sum of squares at 2.317105115E7, which is the sum of squared deviations for the predicted NYSE price change compared to its average price change.

About NYSE 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 NYSE 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 NYSE based on its technical analysis. In general, a bottom-up approach, as applied to this index, focuses on NYSE stock first instead of the macroeconomic environment surrounding NYSE . By analyzing NYSE'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 NYSE'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 NYSE specific price patterns or momentum indicators. Please read more on our technical analysis page.

NYSE July 5, 2020 Technical Indicators

Most technical analysis of NYSE 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 NYSE from various momentum indicators to cycle indicators. When you analyze NYSE 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 Performance0.2734
Mean Deviation2.1
Semi Deviation2.46
Downside Deviation2.99
Coefficient Of Variation678.31
Standard Deviation2.78
Variance7.71
Information Ratio0.0682
Total Risk Alpha0.0811
Sortino Ratio0.0633
Maximum Drawdown14.76
Value At Risk(3.65)
Potential Upside4.16
Downside Variance8.97
Semi Variance6.04
Expected Short fall(2.11)
Skewness0.0308
Kurtosis0.6555
Check out Your Current Watchlist. Please also try Piotroski F Score module to get piotroski f score based on binary analysis strategy of nine different fundamentals.
Macroaxis is not a registered investment advisor or broker/dealer. All investments, including stocks, funds, ETFs, or cryptocurrencies, are speculative and involve substantial risk of loss. We encourage our investors to invest carefully. Much of our information is derived directly from data published by companies or submitted to governmental agencies which we believe are reliable, but are without our independent verification. Therefore, we cannot assure you that the information is accurate or complete. We do not in any way warrant or guarantee the success of any action you take in reliance on our statements or recommendations. Also, note that past performance is not necessarily indicative of future results. All investments carry risk, and all investment decisions of an individual remain the responsibility of that individual. There is no guarantee that systems, indicators, or signals will result in profits or that they will not result in losses. All investors are advised to fully understand all risks associated with any investing they choose to do. Hypothetical or simulated performance is not indicative of future results. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown because hypothetical or simulated performance is not necessarily indicative of future results. For more information please visit our terms and condition page