Shanghai (China) Technical Analysis

SH
000001 -- China Index  

 3,294  141.33  4.48%

As of the 5th of July, Shanghai has the coefficient of variation of 1330.12, semi deviation of 1.63, and risk adjusted performance of 0.137. Our technical analysis interface makes it possible for you to check existing technical drivers of Shanghai, as well as the relationship between them. In other words, you can use this information to find out if the index will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to analyze and collect data for nineteen technical drivers for Shanghai, which can be compared to its competition. Please validate Shanghai semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Shanghai is priced more or less accurately, providing market reflects its prevalent price of 3294.14 per share.

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

Shanghai Trend Analysis

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

Shanghai Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Shanghai applied against its price change over selected period. The best fit line has a slop of   5.02  , which means Shanghai will continue producing value for investors. It has 122 observation points and a regression sum of squares at 951709.96, which is the sum of squared deviations for the predicted Shanghai price change compared to its average price change.

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

Shanghai July 5, 2020 Technical Indicators

Most technical analysis of Shanghai 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 Shanghai from various momentum indicators to cycle indicators. When you analyze Shanghai 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 Performance0.137
Mean Deviation0.9768
Semi Deviation1.63
Downside Deviation1.94
Coefficient Of Variation1330.12
Standard Deviation1.71
Variance2.94
Information Ratio(0.05)
Total Risk Alpha(0.08)
Sortino Ratio(0.047036)
Maximum Drawdown10.11
Value At Risk(2.07)
Potential Upside2.13
Downside Variance3.74
Semi Variance2.65
Expected Short fall(0.97)
Skewness0.4303
Kurtosis9.03

Shanghai July 5, 2020 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Shanghai stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Accumulation Distribution  0.04  
Daily Balance Of Power  1.00  
Rate Of Daily Change  1.04  
Day Median Price  3,365  
Day Typical Price  3,341  
Price Action Indicator  0.00  
Market Facilitation Index  141.33  
Please continue to Trending Equities. Please also try Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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