China Yongda Automobiles Stock Overlap Studies Weighted Moving Average
CYYHF Stock | USD 0.26 0.00 0.00% |
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China Yongda Technical Analysis Modules
Most technical analysis of China Yongda 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 China from various momentum indicators to cycle indicators. When you analyze China charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.Cycle Indicators | ||
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Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About China Yongda Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of China Yongda Automobiles. We use our internally-developed statistical techniques to arrive at the intrinsic value of China Yongda Automobiles based on widely used predictive technical indicators. In general, we focus on analyzing China Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build China Yongda's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of China Yongda's intrinsic value. In addition to deriving basic predictive indicators for China Yongda, we also check how macroeconomic factors affect China Yongda price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Yongda's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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China Yongda Automobiles pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if China Yongda position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in China Yongda will appreciate offsetting losses from the drop in the long position's value.China Yongda Pair Trading
China Yongda Automobiles Pair Trading Analysis
The ability to find closely correlated positions to China Yongda could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace China Yongda when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back China Yongda - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling China Yongda Automobiles to buy it.
The correlation of China Yongda is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as China Yongda moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Yongda Automobiles moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for China Yongda can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in rate. Note that the China Yongda Automobiles information on this page should be used as a complementary analysis to other China Yongda's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary Tools for China Pink Sheet analysis
When running China Yongda's price analysis, check to measure China Yongda's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy China Yongda is operating at the current time. Most of China Yongda's value examination focuses on studying past and present price action to predict the probability of China Yongda's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Yongda's price. Additionally, you may evaluate how the addition of China Yongda to your portfolios can decrease your overall portfolio volatility.
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