GOODYEAR T (Germany) Price Transform Weighted Close Price
| GTR Stock | EUR 9.34 0.61 6.99% |
| Symbol |
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Developed by Larry Williams, the Weighted Close is the average of GOODYEAR T RUBBER high, low and close of a chart with the close values weighted twice. It can be used to smooth an indicator that normally takes only GOODYEAR T closing price as input.
GOODYEAR T Technical Analysis Modules
Most technical analysis of GOODYEAR T 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 GOODYEAR from various momentum indicators to cycle indicators. When you analyze GOODYEAR 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 GOODYEAR T 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 GOODYEAR T RUBBER. We use our internally-developed statistical techniques to arrive at the intrinsic value of GOODYEAR T RUBBER based on widely used predictive technical indicators. In general, we focus on analyzing GOODYEAR Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GOODYEAR T's daily price indicators and compare them against related drivers, such as price transform 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 GOODYEAR T's intrinsic value. In addition to deriving basic predictive indicators for GOODYEAR T, we also check how macroeconomic factors affect GOODYEAR T price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.Did you try this?
Run Sync Your Broker Now
Sync Your BrokerSync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. |
| All Next | Launch Module |
GOODYEAR T RUBBER 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 GOODYEAR T 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 GOODYEAR T will appreciate offsetting losses from the drop in the long position's value.GOODYEAR T Pair Trading
GOODYEAR T RUBBER Pair Trading Analysis
The ability to find closely correlated positions to GOODYEAR T could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GOODYEAR T 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 GOODYEAR T - 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 GOODYEAR T RUBBER to buy it.
The correlation of GOODYEAR T 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 GOODYEAR T moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GOODYEAR T RUBBER 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 GOODYEAR T 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.Additional Tools for GOODYEAR Stock Analysis
When running GOODYEAR T's price analysis, check to measure GOODYEAR T'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 GOODYEAR T is operating at the current time. Most of GOODYEAR T's value examination focuses on studying past and present price action to predict the probability of GOODYEAR T's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GOODYEAR T's price. Additionally, you may evaluate how the addition of GOODYEAR T to your portfolios can decrease your overall portfolio volatility.