FarmStory (Korea) Technical Analysis
| 027710 Stock | KRW 1,206 10.00 0.84% |
As of the 27th of November, FarmStory shows the Standard Deviation of 1.58, mean deviation of 1.14, and Variance of 2.49. FarmStory 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.
FarmStory Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as FarmStory, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FarmStoryFarmStory |
FarmStory 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.
FarmStory Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-seven. 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 FarmStory volatility. High ATR values indicate high volatility, and low values indicate low volatility.
FarmStory Trend Analysis
Use this graph to draw trend lines for FarmStory Co. You can use it to identify possible trend reversals for FarmStory 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 FarmStory price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.FarmStory Best Fit Change Line
The following chart estimates an ordinary least squares regression model for FarmStory Co applied against its price change over selected period. The best fit line has a slop of 3 , which may suggest that FarmStory Co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 341004.29, which is the sum of squared deviations for the predicted FarmStory price change compared to its average price change.About FarmStory 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 FarmStory Co 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 FarmStory Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on FarmStory price pattern first instead of the macroeconomic environment surrounding FarmStory. By analyzing FarmStory'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 FarmStory'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 FarmStory specific price patterns or momentum indicators. Please read more on our technical analysis page.
FarmStory November 27, 2024 Technical Indicators
Most technical analysis of FarmStory 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 FarmStory from various momentum indicators to cycle indicators. When you analyze FarmStory 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 | (0.1) | |||
| Market Risk Adjusted Performance | 0.7705 | |||
| Mean Deviation | 1.14 | |||
| Coefficient Of Variation | (735.91) | |||
| Standard Deviation | 1.58 | |||
| Variance | 2.49 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | 0.7605 | |||
| Maximum Drawdown | 9.58 | |||
| Value At Risk | (2.92) | |||
| Potential Upside | 2.54 | |||
| Skewness | 0.4075 | |||
| Kurtosis | 2.23 |
Complementary Tools for FarmStory Stock analysis
When running FarmStory's price analysis, check to measure FarmStory'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 FarmStory is operating at the current time. Most of FarmStory's value examination focuses on studying past and present price action to predict the probability of FarmStory's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FarmStory's price. Additionally, you may evaluate how the addition of FarmStory to your portfolios can decrease your overall portfolio volatility.
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