LAM RESEARCH (Germany) Overlap Studies MidPoint over period

LAR Stock   74.08  0.93  1.24%   
LAM RESEARCH overlap studies tool provides the execution environment for running the MidPoint over period study and other technical functions against LAM RESEARCH. LAM RESEARCH 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 overlap studies indicators. As with most other technical indicators, the MidPoint over period study function is designed to identify and follow existing trends. LAM RESEARCH overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Mid-point over period is an average of LAM RESEARCH P highest and lowest values attained during the given period.

LAM RESEARCH Technical Analysis Modules

Most technical analysis of LAM RESEARCH 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 LAM from various momentum indicators to cycle indicators. When you analyze LAM 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 LAM RESEARCH 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 LAM RESEARCH P. We use our internally-developed statistical techniques to arrive at the intrinsic value of LAM RESEARCH P based on widely used predictive technical indicators. In general, we focus on analyzing LAM Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build LAM RESEARCH's daily price indicators and compare them against related drivers, such as overlap studies 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 LAM RESEARCH's intrinsic value. In addition to deriving basic predictive indicators for LAM RESEARCH, we also check how macroeconomic factors affect LAM RESEARCH price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of LAM RESEARCH'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
71.2774.0876.89
Details
Intrinsic
Valuation
LowRealHigh
58.2661.0781.49
Details
Naive
Forecast
LowNextHigh
73.1875.9978.81
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
63.7569.4675.16
Details

Learn to be your own money manager

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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LAM RESEARCH P 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 LAM RESEARCH 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 LAM RESEARCH will appreciate offsetting losses from the drop in the long position's value.

LAM RESEARCH Pair Trading

LAM RESEARCH P Pair Trading Analysis

The ability to find closely correlated positions to LAM RESEARCH could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LAM RESEARCH 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 LAM RESEARCH - 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 LAM RESEARCH P to buy it.
The correlation of LAM RESEARCH 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 LAM RESEARCH moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LAM RESEARCH P 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 LAM RESEARCH 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 LAM Stock Analysis

When running LAM RESEARCH's price analysis, check to measure LAM RESEARCH'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 LAM RESEARCH is operating at the current time. Most of LAM RESEARCH's value examination focuses on studying past and present price action to predict the probability of LAM RESEARCH's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LAM RESEARCH's price. Additionally, you may evaluate how the addition of LAM RESEARCH to your portfolios can decrease your overall portfolio volatility.