LITHIA MTRS (Germany) Cycle Indicators Hilbert Transform Dominant Cycle Period
LMO Stock | EUR 232.00 6.00 2.65% |
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The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of LITHIA MTRS price series in order to analyze variations of the instantaneous cycles.
LITHIA MTRS Technical Analysis Modules
Most technical analysis of LITHIA MTRS 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 LITHIA from various momentum indicators to cycle indicators. When you analyze LITHIA 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 LITHIA MTRS 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 LITHIA MTRS. We use our internally-developed statistical techniques to arrive at the intrinsic value of LITHIA MTRS based on widely used predictive technical indicators. In general, we focus on analyzing LITHIA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build LITHIA MTRS's daily price indicators and compare them against related drivers, such as cycle indicators 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 LITHIA MTRS's intrinsic value. In addition to deriving basic predictive indicators for LITHIA MTRS, we also check how macroeconomic factors affect LITHIA MTRS 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 LITHIA MTRS'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.
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LITHIA MTRS 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 LITHIA MTRS 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 LITHIA MTRS will appreciate offsetting losses from the drop in the long position's value.LITHIA MTRS Pair Trading
LITHIA MTRS Pair Trading Analysis
The ability to find closely correlated positions to LITHIA MTRS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LITHIA MTRS 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 LITHIA MTRS - 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 LITHIA MTRS to buy it.
The correlation of LITHIA MTRS 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 LITHIA MTRS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LITHIA MTRS 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 LITHIA MTRS 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.Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in LITHIA MTRS. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Complementary Tools for LITHIA Stock analysis
When running LITHIA MTRS's price analysis, check to measure LITHIA MTRS'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 LITHIA MTRS is operating at the current time. Most of LITHIA MTRS's value examination focuses on studying past and present price action to predict the probability of LITHIA MTRS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LITHIA MTRS's price. Additionally, you may evaluate how the addition of LITHIA MTRS to your portfolios can decrease your overall portfolio volatility.
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