Lian Hwa (Taiwan) Technical Analysis
| 1231 Stock | TWD 129.50 2.50 1.89% |
As of the 24th of March, Lian Hwa secures the Downside Deviation of 3.67, risk adjusted performance of 0.0323, and Mean Deviation of 2.13. Lian Hwa Foods technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Lian Hwa Foods semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Lian Hwa Foods is priced some-what accurately, providing market reflects its recent price of 129.5 per share.
Lian Hwa Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lian, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LianLian |
Lian Hwa 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.
Lian Hwa Foods Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Lian Hwa Foods volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Lian Hwa Foods Trend Analysis
Use this graph to draw trend lines for Lian Hwa Foods. You can use it to identify possible trend reversals for Lian Hwa 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 Lian Hwa price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Lian Hwa Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Lian Hwa Foods applied against its price change over selected period. The best fit line has a slop of 0.09 , which means Lian Hwa Foods will continue generating value for investors. It has 122 observation points and a regression sum of squares at 324.83, which is the sum of squared deviations for the predicted Lian Hwa price change compared to its average price change.About Lian Hwa 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 Lian Hwa Foods 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 Lian Hwa Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Lian Hwa Foods price pattern first instead of the macroeconomic environment surrounding Lian Hwa Foods. By analyzing Lian Hwa'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 Lian Hwa'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 Lian Hwa specific price patterns or momentum indicators. Please read more on our technical analysis page.
Lian Hwa March 24, 2025 Technical Indicators
Most technical analysis of Lian 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 Lian from various momentum indicators to cycle indicators. When you analyze Lian 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 | 0.0323 | |||
| Market Risk Adjusted Performance | (0.18) | |||
| Mean Deviation | 2.13 | |||
| Semi Deviation | 3.28 | |||
| Downside Deviation | 3.67 | |||
| Coefficient Of Variation | 3496.31 | |||
| Standard Deviation | 2.93 | |||
| Variance | 8.59 | |||
| Information Ratio | 0.0482 | |||
| Jensen Alpha | 0.0478 | |||
| Total Risk Alpha | 0.2964 | |||
| Sortino Ratio | 0.0385 | |||
| Treynor Ratio | (0.19) | |||
| Maximum Drawdown | 15.28 | |||
| Value At Risk | (5.34) | |||
| Potential Upside | 4.15 | |||
| Downside Variance | 13.44 | |||
| Semi Variance | 10.75 | |||
| Expected Short fall | (2.15) | |||
| Skewness | (0.95) | |||
| Kurtosis | 1.75 |
Lian Hwa March 24, 2025 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 Lian 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 | 23,662 | ||
| Daily Balance Of Power | (0.56) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 131.75 | ||
| Day Typical Price | 131.00 | ||
| Price Action Indicator | (3.50) |
Additional Tools for Lian Stock Analysis
When running Lian Hwa's price analysis, check to measure Lian Hwa'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 Lian Hwa is operating at the current time. Most of Lian Hwa's value examination focuses on studying past and present price action to predict the probability of Lian Hwa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lian Hwa's price. Additionally, you may evaluate how the addition of Lian Hwa to your portfolios can decrease your overall portfolio volatility.