SP 500 Technical Analysis

S5
GSPC -- USA Index  

 3,130  14.15  0.45%

As of the 5th of July, SP 500 owns the downside deviation of 2.12, risk adjusted performance of 0.2897, and mean deviation of 1.43. Our technical analysis interface makes it possible for you to check potential technical drivers of SP 500, 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 historical prices and volume patterns, or the prices will eventually revert. We were able to analyze nineteen technical drivers for SP 500, which can be compared to its peers in the sector. Please validate SP 500 jensen alpha, potential upside, as well as the relationship between the Potential Upside and skewness to decide if SP 500 is priced correctly, providing market reflects its prevailing price of 3130.01 per share.

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SP 500 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 SP 500 technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SP 500 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...

SP 500 Trend Analysis

Use this graph to draw trend lines for SP 500. You can use it to identify possible trend reversals for SP 500 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 SP 500 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

SP 500 Best Fit Change Line

The following chart estimates an ordinary least squares regression model for SP 500 applied against its price change over selected period. The best fit line has a slop of   6.68  , which means SP 500 will continue producing value for investors. It has 122 observation points and a regression sum of squares at 1685812.85, which is the sum of squared deviations for the predicted SP 500 price change compared to its average price change.

About SP 500 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 SP 500 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 SP 500 based on its technical analysis. In general, a bottom-up approach, as applied to this index, focuses on SP 500 stock first instead of the macroeconomic environment surrounding SP 500 . By analyzing SP 500'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 SP 500'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 SP 500 specific price patterns or momentum indicators. Please read more on our technical analysis page.

SP 500 July 5, 2020 Technical Indicators

Most technical analysis of SP 500 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 SP 500 from various momentum indicators to cycle indicators. When you analyze SP 500 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 Performance0.2897
Mean Deviation1.43
Semi Deviation1.88
Downside Deviation2.12
Coefficient Of Variation633.74
Standard Deviation1.96
Variance3.85
Information Ratio0.0457
Total Risk Alpha0.0747
Sortino Ratio0.0423
Maximum Drawdown12.93
Value At Risk(2.81)
Potential Upside3.06
Downside Variance4.48
Semi Variance3.52
Expected Short fall(1.47)
Skewness(0.14)
Kurtosis2.41
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