DONGJIANG ENVIRONMENTAL (Germany) Technical Analysis

DGN Stock  EUR 0.18  0.01  5.26%   
As of the 23rd of January, DONGJIANG ENVIRONMENTAL shows the Coefficient Of Variation of (869.55), standard deviation of 4.11, and Mean Deviation of 2.83. Our technical analysis interface provides you with a way to check practical technical drivers of DONGJIANG ENVIRONMENTAL, as well as the relationship between them. Please confirm DONGJIANG ENVIRONMENTAL information ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk to decide if DONGJIANG ENVIRONMENTAL is priced fairly, providing market reflects its regular price of 0.18 per share.

DONGJIANG ENVIRONMENTAL Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DONGJIANG, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DONGJIANG
  
DONGJIANG ENVIRONMENTAL'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.
DONGJIANG ENVIRONMENTAL 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 DONGJIANG ENVIRONMENTAL technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of DONGJIANG ENVIRONMENTAL 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...

DONGJIANG ENVIRONMENTAL Technical Analysis

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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 DONGJIANG ENVIRONMENTAL volatility. High ATR values indicate high volatility, and low values indicate low volatility.

DONGJIANG ENVIRONMENTAL Trend Analysis

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

DONGJIANG ENVIRONMENTAL Best Fit Change Line

The following chart estimates an ordinary least squares regression model for DONGJIANG ENVIRONMENTAL H applied against its price change over selected period. The best fit line has a slop of   0.0016  , which may suggest that DONGJIANG ENVIRONMENTAL H market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.1, which is the sum of squared deviations for the predicted DONGJIANG ENVIRONMENTAL price change compared to its average price change.

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

DONGJIANG ENVIRONMENTAL January 23, 2025 Technical Indicators

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

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