Doosan Fuel (Korea) Technical Analysis

336260 Stock   15,920  370.00  2.38%   
As of the 5th of February, Doosan Fuel shows the Mean Deviation of 2.59, standard deviation of 3.58, and Variance of 12.79. Doosan Fuel Cell technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.

Doosan Fuel Momentum Analysis

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

Doosan Fuel Cell Technical Analysis

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The output start index for this execution was thirty with a total number of output elements of thirty-one. 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 Doosan Fuel Cell volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Doosan Fuel Cell Trend Analysis

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

Doosan Fuel Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Doosan Fuel Cell applied against its price change over selected period. The best fit line has a slop of   8.59  , which means Doosan Fuel Cell will continue producing value for investors. It has 122 observation points and a regression sum of squares at 2792490.76, which is the sum of squared deviations for the predicted Doosan Fuel price change compared to its average price change.

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

Doosan Fuel February 5, 2025 Technical Indicators

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

Doosan Fuel February 5, 2025 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 Doosan 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.

Complementary Tools for Doosan Stock analysis

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