Lianhe Sowell International Stock Statistic Functions Beta

LHSW Stock   0.72  0.01  1.37%   
Lianhe Sowell statistic functions tool provides the execution environment for running the Beta function and other technical functions against Lianhe Sowell. Lianhe Sowell value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Lianhe Sowell statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

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.

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 Outstanding226.33143.6205.59369.57
PTB Ratio66.0427.3331.4329.86
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.
Hype
Prediction
LowEstimatedHigh
0.020.467.51
Details
Intrinsic
Valuation
LowRealHigh
0.030.697.74
Details
Naive
Forecast
LowNextHigh
0.010.587.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.521.051.59
Details

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Lianhe Sowell Intern pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Lianhe Sowell position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lianhe Sowell will appreciate offsetting losses from the drop in the long position's value.

Lianhe Sowell Pair Trading

Lianhe Sowell International Pair Trading Analysis

The ability to find closely correlated positions to Lianhe Sowell could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lianhe Sowell when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Lianhe Sowell - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Lianhe Sowell International to buy it.
The correlation of Lianhe Sowell is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Lianhe Sowell moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lianhe Sowell Intern moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Lianhe Sowell can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

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.