ETFS Commodity Securities Volatility Indicators Normalized Average True Range
ETFS Commodity volatility indicators tool provides the execution environment for running the Normalized Average True Range indicator and other technical functions against ETFS Commodity. ETFS Commodity 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 volatility indicators indicators. As with most other technical indicators, the Normalized Average True Range indicator function is designed to identify and follow existing trends. ETFS Commodity volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.
| Symbol |
We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.
ETFS Commodity Technical Analysis Modules
Most technical analysis of ETFS Commodity 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 ETFS from various momentum indicators to cycle indicators. When you analyze ETFS 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 |
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 Positions Ratings Now
Positions RatingsDetermine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |
| All Next | Launch Module |
ETFS Commodity Securities 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 ETFS Commodity 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 ETFS Commodity will appreciate offsetting losses from the drop in the long position's value.ETFS Commodity Pair Trading
ETFS Commodity Securities Pair Trading Analysis
The ability to find closely correlated positions to Nike could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Nike 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 Nike - 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 Nike Inc to buy it.
The correlation of Nike 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 Nike moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Nike Inc 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 Nike 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any otc etf could be closely tied with the direction of predictive economic indicators such as signals in price. Note that the ETFS Commodity Securities information on this page should be used as a complementary analysis to other ETFS Commodity's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Other Consideration for investing in ETFS OTC Etf
If you are still planning to invest in ETFS Commodity Securities check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the ETFS Commodity's history and understand the potential risks before investing.
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |