Home Product (Thailand) Technical Analysis
| HMPRO Stock | THB 8.75 0.35 3.85% |
As of the 1st of February, Home Product retains the Market Risk Adjusted Performance of (0.12), risk adjusted performance of (0.03), and Standard Deviation of 2.13. Home Product technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Home Product Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Home, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HomeHome |
Home Product 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.
Home Product Center 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 Home Product Center volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Home Product Center Trend Analysis
Use this graph to draw trend lines for Home Product Center. You can use it to identify possible trend reversals for Home Product 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 Home Product price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Home Product Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Home Product Center applied against its price change over selected period. The best fit line has a slop of 0.02 , which may suggest that Home Product Center market price will keep on failing further. It has 122 observation points and a regression sum of squares at 8.89, which is the sum of squared deviations for the predicted Home Product price change compared to its average price change.About Home Product 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 Home Product Center 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 Home Product Center based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Home Product Center price pattern first instead of the macroeconomic environment surrounding Home Product Center. By analyzing Home Product'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 Home Product'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 Home Product specific price patterns or momentum indicators. Please read more on our technical analysis page.
Home Product February 1, 2025 Technical Indicators
Most technical analysis of Home 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 Home from various momentum indicators to cycle indicators. When you analyze Home 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 1.64 | |||
| Coefficient Of Variation | (2,082) | |||
| Standard Deviation | 2.13 | |||
| Variance | 4.53 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 9.56 | |||
| Value At Risk | (3.85) | |||
| Potential Upside | 3.55 | |||
| Skewness | (0.03) | |||
| Kurtosis | (0.20) |
Complementary Tools for Home Stock analysis
When running Home Product's price analysis, check to measure Home Product'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 Home Product is operating at the current time. Most of Home Product's value examination focuses on studying past and present price action to predict the probability of Home Product's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Home Product's price. Additionally, you may evaluate how the addition of Home Product to your portfolios can decrease your overall portfolio volatility.
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