KCC Engineering (Korea) Technical Analysis
021320 Stock | KRW 3,940 30.00 0.76% |
As of the 18th of January 2025, KCC Engineering owns the Mean Deviation of 0.9536, market risk adjusted performance of 0.9365, and Standard Deviation of 1.27. KCC Engineering Construction technical analysis lets you operate past data patterns with an objective to determine a pattern that forecasts the direction of the entity's future prices.
KCC Engineering Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as KCC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KCCKCC |
KCC Engineering 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.
KCC Engineering Cons Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 KCC Engineering Cons volatility. High ATR values indicate high volatility, and low values indicate low volatility.
KCC Engineering Cons Trend Analysis
Use this graph to draw trend lines for KCC Engineering Construction. You can use it to identify possible trend reversals for KCC Engineering 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 KCC Engineering price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.KCC Engineering Best Fit Change Line
The following chart estimates an ordinary least squares regression model for KCC Engineering Construction applied against its price change over selected period. The best fit line has a slop of 1.21 , which may suggest that KCC Engineering Construction market price will keep on failing further. It has 122 observation points and a regression sum of squares at 55813.87, which is the sum of squared deviations for the predicted KCC Engineering price change compared to its average price change.About KCC Engineering 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 KCC Engineering Construction 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 KCC Engineering Construction based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on KCC Engineering Cons price pattern first instead of the macroeconomic environment surrounding KCC Engineering Cons. By analyzing KCC Engineering'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 KCC Engineering'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 KCC Engineering specific price patterns or momentum indicators. Please read more on our technical analysis page.
KCC Engineering January 18, 2025 Technical Indicators
Most technical analysis of KCC 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 KCC from various momentum indicators to cycle indicators. When you analyze KCC 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.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | (0.05) | |||
Market Risk Adjusted Performance | 0.9365 | |||
Mean Deviation | 0.9536 | |||
Coefficient Of Variation | (1,547) | |||
Standard Deviation | 1.27 | |||
Variance | 1.6 | |||
Information Ratio | (0.09) | |||
Jensen Alpha | (0.09) | |||
Total Risk Alpha | (0.12) | |||
Treynor Ratio | 0.9265 | |||
Maximum Drawdown | 5.93 | |||
Value At Risk | (2.20) | |||
Potential Upside | 2.23 | |||
Skewness | (0.15) | |||
Kurtosis | 0.2451 |
Complementary Tools for KCC Stock analysis
When running KCC Engineering's price analysis, check to measure KCC Engineering'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 KCC Engineering is operating at the current time. Most of KCC Engineering's value examination focuses on studying past and present price action to predict the probability of KCC Engineering's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KCC Engineering's price. Additionally, you may evaluate how the addition of KCC Engineering to your portfolios can decrease your overall portfolio volatility.
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