Food Moments (Thailand) Technical Analysis
| FM Stock | 3.66 0.06 1.61% |
Food Moments Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Food, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FoodFood |
Food Moments 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.
Food Moments PCL Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Food Moments PCL volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Food Moments PCL Trend Analysis
Use this graph to draw trend lines for Food Moments PCL. You can use it to identify possible trend reversals for Food Moments 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 Food Moments price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Food Moments Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Food Moments PCL applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Food Moments PCL market price will keep on failing further. It has 122 observation points and a regression sum of squares at 7.04, which is the sum of squared deviations for the predicted Food Moments price change compared to its average price change.Food Moments December 26, 2024 Technical Indicators
Most technical analysis of Food 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 Food from various momentum indicators to cycle indicators. When you analyze Food 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 | (0.12) | |||
| Market Risk Adjusted Performance | (2.48) | |||
| Mean Deviation | 1.5 | |||
| Coefficient Of Variation | (631.05) | |||
| Standard Deviation | 1.88 | |||
| Variance | 3.52 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | (2.49) | |||
| Maximum Drawdown | 8.79 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 3.06 | |||
| Skewness | 0.4164 | |||
| Kurtosis | 0.0142 |
Food Moments December 26, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Food stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 134,031 | ||
| Daily Balance Of Power | (0.50) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 3.68 | ||
| Day Typical Price | 3.67 | ||
| Price Action Indicator | (0.05) |