Snet Systems (Korea) Technical Analysis
038680 Stock | KRW 4,140 125.00 2.93% |
As of the 22nd of December, Snet Systems has the Coefficient Of Variation of 2222.87, semi deviation of 1.86, and Risk Adjusted Performance of 0.0429. Snet Systems 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.
Snet Systems Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Snet, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SnetSnet |
Snet Systems 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.
Snet systems Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-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 Snet systems volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Snet systems Trend Analysis
Use this graph to draw trend lines for Snet systems. You can use it to identify possible trend reversals for Snet Systems 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 Snet Systems price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Snet Systems Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Snet systems applied against its price change over selected period. The best fit line has a slop of 7.69 , which means Snet systems will continue producing value for investors. It has 122 observation points and a regression sum of squares at 2235669.18, which is the sum of squared deviations for the predicted Snet Systems price change compared to its average price change.About Snet Systems 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 Snet systems 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 Snet systems based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Snet systems price pattern first instead of the macroeconomic environment surrounding Snet systems. By analyzing Snet Systems'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 Snet Systems'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 Snet Systems specific price patterns or momentum indicators. Please read more on our technical analysis page.
Snet Systems December 22, 2024 Technical Indicators
Most technical analysis of Snet 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 Snet from various momentum indicators to cycle indicators. When you analyze Snet 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 | 0.0429 | |||
Market Risk Adjusted Performance | 2.31 | |||
Mean Deviation | 1.77 | |||
Semi Deviation | 1.86 | |||
Downside Deviation | 2.14 | |||
Coefficient Of Variation | 2222.87 | |||
Standard Deviation | 2.89 | |||
Variance | 8.34 | |||
Information Ratio | 0.0338 | |||
Jensen Alpha | 0.1188 | |||
Total Risk Alpha | 0.0391 | |||
Sortino Ratio | 0.0457 | |||
Treynor Ratio | 2.3 | |||
Maximum Drawdown | 18.91 | |||
Value At Risk | (3.19) | |||
Potential Upside | 5.01 | |||
Downside Variance | 4.57 | |||
Semi Variance | 3.47 | |||
Expected Short fall | (2.22) | |||
Skewness | 2.32 | |||
Kurtosis | 8.86 |
Complementary Tools for Snet Stock analysis
When running Snet Systems' price analysis, check to measure Snet Systems' 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 Snet Systems is operating at the current time. Most of Snet Systems' value examination focuses on studying past and present price action to predict the probability of Snet Systems' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Snet Systems' price. Additionally, you may evaluate how the addition of Snet Systems to your portfolios can decrease your overall portfolio volatility.
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