Nice Information (Korea) Technical Analysis
| 036800 Stock | KRW 18,310 20.00 0.11% |
As of the 26th of November, Nice Information secures the Mean Deviation of 0.4467, standard deviation of 0.5947, and Risk Adjusted Performance of (0.14). Nice Information Telecommunication technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices.
Nice Information Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Nice, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to NiceNice |
Nice Information 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.
Nice Information Tel 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 Nice Information Tel volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Nice Information Tel Trend Analysis
Use this graph to draw trend lines for Nice Information Telecommunication. You can use it to identify possible trend reversals for Nice Information 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 Nice Information price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Nice Information Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Nice Information Telecommunication applied against its price change over selected period. The best fit line has a slop of 14.88 , which may suggest that Nice Information Telecommunication market price will keep on failing further. It has 122 observation points and a regression sum of squares at 8375630.68, which is the sum of squared deviations for the predicted Nice Information price change compared to its average price change.About Nice Information 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 Nice Information Telecommunication 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 Nice Information Telecommunication based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Nice Information Tel price pattern first instead of the macroeconomic environment surrounding Nice Information Tel. By analyzing Nice Information'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 Nice Information'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 Nice Information specific price patterns or momentum indicators. Please read more on our technical analysis page.
Nice Information November 26, 2024 Technical Indicators
Most technical analysis of Nice 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 Nice from various momentum indicators to cycle indicators. When you analyze Nice 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 | (0.14) | |||
| Market Risk Adjusted Performance | (0.96) | |||
| Mean Deviation | 0.4467 | |||
| Coefficient Of Variation | (553.08) | |||
| Standard Deviation | 0.5947 | |||
| Variance | 0.3537 | |||
| Information Ratio | (0.40) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.97) | |||
| Maximum Drawdown | 2.94 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 0.797 | |||
| Skewness | 0.2946 | |||
| Kurtosis | 1.91 |
Complementary Tools for Nice Stock analysis
When running Nice Information's price analysis, check to measure Nice Information'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 Nice Information is operating at the current time. Most of Nice Information's value examination focuses on studying past and present price action to predict the probability of Nice Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nice Information's price. Additionally, you may evaluate how the addition of Nice Information to your portfolios can decrease your overall portfolio volatility.
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