Fast Food (Indonesia) Technical Analysis
| FAST Stock | IDR 320.00 4.00 1.23% |
As of the 2nd of December, Fast Food shows the Variance of 4.21, standard deviation of 2.05, and Mean Deviation of 1.27. Fast Food Indonesia 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.
Fast Food Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fast, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FastFast |
Fast Food 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.
Fast Food Indonesia 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 Fast Food Indonesia volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fast Food Indonesia Trend Analysis
Use this graph to draw trend lines for Fast Food Indonesia. You can use it to identify possible trend reversals for Fast Food 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 Fast Food price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Fast Food Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fast Food Indonesia applied against its price change over selected period. The best fit line has a slop of 2.71 , which may suggest that Fast Food Indonesia market price will keep on failing further. It has 122 observation points and a regression sum of squares at 276886.26, which is the sum of squared deviations for the predicted Fast Food price change compared to its average price change.About Fast Food 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 Fast Food Indonesia 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 Fast Food Indonesia based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fast Food Indonesia price pattern first instead of the macroeconomic environment surrounding Fast Food Indonesia. By analyzing Fast Food'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 Fast Food'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 Fast Food specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fast Food December 2, 2024 Technical Indicators
Most technical analysis of Fast 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 Fast from various momentum indicators to cycle indicators. When you analyze Fast 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.19) | |||
| Market Risk Adjusted Performance | 0.5967 | |||
| Mean Deviation | 1.27 | |||
| Coefficient Of Variation | (394.18) | |||
| Standard Deviation | 2.05 | |||
| Variance | 4.21 | |||
| Information Ratio | (0.32) | |||
| Jensen Alpha | (0.42) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | 0.5867 | |||
| Maximum Drawdown | 11.68 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 1.44 | |||
| Skewness | (1.77) | |||
| Kurtosis | 5.83 |
Other Information on Investing in Fast Stock
Fast Food financial ratios help investors to determine whether Fast Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fast with respect to the benefits of owning Fast Food security.