Lianhe Sowell International Stock Statistic Functions Beta
| LHSW Stock | 0.72 0.01 1.37% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Lianhe Sowell Intern correlated with the market. If Beta is less than 0 Lianhe Sowell generally moves in the opposite direction as compared to the market. If Lianhe Sowell Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Lianhe Sowell Intern is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Lianhe Sowell is generally in the same direction as the market. If Beta > 1 Lianhe Sowell moves generally in the same direction as, but more than the movement of the benchmark.
Lianhe Sowell Technical Analysis Modules
Most technical analysis of Lianhe Sowell 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 Lianhe from various momentum indicators to cycle indicators. When you analyze Lianhe charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About Lianhe Sowell Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Lianhe Sowell International. We use our internally-developed statistical techniques to arrive at the intrinsic value of Lianhe Sowell International based on widely used predictive technical indicators. In general, we focus on analyzing Lianhe Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Lianhe Sowell's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Lianhe Sowell's intrinsic value. In addition to deriving basic predictive indicators for Lianhe Sowell, we also check how macroeconomic factors affect Lianhe Sowell price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 | 2025 (projected) | Days Sales Outstanding | 226.33 | 143.6 | 205.59 | 369.57 | PTB Ratio | 66.04 | 27.33 | 31.43 | 29.86 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lianhe Sowell's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Lianhe Sowell in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Lianhe Sowell's short interest history, or implied volatility extrapolated from Lianhe Sowell options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Chemicals Makers Invested over 70 shares | |
 | Macroaxis Index Invested over 20 shares | |
 | Cash Cows Invested few shares | |
 | Baby Boomer Prospects Invested over 50 shares | |
 | ESG Investing Invested few shares | |
 | Driverless Cars Invested over 30 shares | |
 | Power Assets Invested over 200 shares | |
 | Warren Buffett Holdings Invested few shares | |
 | Hedge Favorites Invested over 20 shares | |
 | Blockchain Invested few shares | |
 | Momentum Invested over 200 shares | |
 | Artificial Intelligence Invested few shares |
Additional Tools for Lianhe Stock Analysis
When running Lianhe Sowell's price analysis, check to measure Lianhe Sowell'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 Lianhe Sowell is operating at the current time. Most of Lianhe Sowell's value examination focuses on studying past and present price action to predict the probability of Lianhe Sowell's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lianhe Sowell's price. Additionally, you may evaluate how the addition of Lianhe Sowell to your portfolios can decrease your overall portfolio volatility.