Zhejiang Expressway (Germany) Technical Analysis

ZHJ Stock  EUR 0.64  0.01  1.59%   
As of the 22nd of December, Zhejiang Expressway maintains the Mean Deviation of 2.27, downside deviation of 5.81, and Market Risk Adjusted Performance of 1.09. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Zhejiang Expressway Co, as well as the relationship between them. Please check out Zhejiang Expressway standard deviation, treynor ratio, downside variance, as well as the relationship between the information ratio and value at risk to decide if Zhejiang Expressway is priced fairly, providing market reflects its latest price of 0.64 per share.

Zhejiang Expressway Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Zhejiang, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Zhejiang
  
Zhejiang Expressway's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Zhejiang Expressway technical stock 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 Zhejiang Expressway technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Zhejiang Expressway 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...

Zhejiang Expressway Technical Analysis

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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Zhejiang Expressway volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Zhejiang Expressway Trend Analysis

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

Zhejiang Expressway Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Zhejiang Expressway Co applied against its price change over selected period. The best fit line has a slop of   0.0003  , which may suggest that Zhejiang Expressway Co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Zhejiang Expressway price change compared to its average price change.

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

Zhejiang Expressway December 22, 2024 Technical Indicators

Most technical analysis of Zhejiang 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 Zhejiang from various momentum indicators to cycle indicators. When you analyze Zhejiang 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.

Complementary Tools for Zhejiang Stock analysis

When running Zhejiang Expressway's price analysis, check to measure Zhejiang Expressway'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 Zhejiang Expressway is operating at the current time. Most of Zhejiang Expressway's value examination focuses on studying past and present price action to predict the probability of Zhejiang Expressway's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zhejiang Expressway's price. Additionally, you may evaluate how the addition of Zhejiang Expressway to your portfolios can decrease your overall portfolio volatility.
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