Four Seasons Education Stock Technical Analysis
| FEDU Stock | USD 12.18 0.22 1.77% |
As of the 12th of October 2024, Four Seasons shows the Mean Deviation of 5.37, coefficient of variation of 1463.89, and Downside Deviation of 8.18. Four Seasons Education 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.
Four Seasons Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Four, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FourFour |
Four Seasons 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.
Four Seasons Education Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Four Seasons Education volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Four Seasons Education Trend Analysis
Use this graph to draw trend lines for Four Seasons Education. You can use it to identify possible trend reversals for Four Seasons 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 Four Seasons price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Four Seasons Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Four Seasons Education applied against its price change over selected period. The best fit line has a slop of 0.0091 , which may suggest that Four Seasons Education market price will keep on failing further. It has 122 observation points and a regression sum of squares at 3.11, which is the sum of squared deviations for the predicted Four Seasons price change compared to its average price change.About Four Seasons 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 Four Seasons Education 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 Four Seasons Education based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Four Seasons Education price pattern first instead of the macroeconomic environment surrounding Four Seasons Education. By analyzing Four Seasons'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 Four Seasons'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 Four Seasons specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | Dividend Yield | 0.006878 | 0.006534 | Price To Sales Ratio | 1.2 | 1.7 |
Four Seasons October 12, 2024 Technical Indicators
Most technical analysis of Four 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 Four from various momentum indicators to cycle indicators. When you analyze Four 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.
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| Volume Indicators |
| Risk Adjusted Performance | 0.0656 | |||
| Market Risk Adjusted Performance | 0.2222 | |||
| Mean Deviation | 5.37 | |||
| Semi Deviation | 6.83 | |||
| Downside Deviation | 8.18 | |||
| Coefficient Of Variation | 1463.89 | |||
| Standard Deviation | 8.37 | |||
| Variance | 70.08 | |||
| Information Ratio | 0.0543 | |||
| Jensen Alpha | 0.277 | |||
| Total Risk Alpha | (0.52) | |||
| Sortino Ratio | 0.0556 | |||
| Treynor Ratio | 0.2122 | |||
| Maximum Drawdown | 55.31 | |||
| Value At Risk | (9.82) | |||
| Potential Upside | 17.64 | |||
| Downside Variance | 66.87 | |||
| Semi Variance | 46.71 | |||
| Expected Short fall | (7.95) | |||
| Skewness | (0.12) | |||
| Kurtosis | 3.93 |
Additional Tools for Four Stock Analysis
When running Four Seasons' price analysis, check to measure Four Seasons' 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 Four Seasons is operating at the current time. Most of Four Seasons' value examination focuses on studying past and present price action to predict the probability of Four Seasons' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Four Seasons' price. Additionally, you may evaluate how the addition of Four Seasons to your portfolios can decrease your overall portfolio volatility.