Sang A (Korea) Technical Analysis

089980 Stock  KRW 19,300  220.00  1.13%   
As of the 19th of December, Sang A has the Risk Adjusted Performance of (0.03), variance of 6.3, and Coefficient Of Variation of (2,112). Sang A technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices.

Sang A Momentum Analysis

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

Sang A Frontec 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 Sang A Frontec volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Sang A Frontec Trend Analysis

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

Sang A Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Sang A Frontec CoLtd applied against its price change over selected period. The best fit line has a slop of   74.68  , which may suggest that Sang A Frontec CoLtd market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.1093234568E8, which is the sum of squared deviations for the predicted Sang A price change compared to its average price change.

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

Sang A December 19, 2024 Technical Indicators

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

Sang A December 19, 2024 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 Sang 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 Sang Stock analysis

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