Fantom Volatility Indicators Average True Range
| FTM Crypto | USD 0.64 0.01 1.54% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Fantom volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fantom Technical Analysis Modules
Most technical analysis of Fantom 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 Fantom from various momentum indicators to cycle indicators. When you analyze Fantom 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 Fantom 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 Fantom. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fantom based on widely used predictive technical indicators. In general, we focus on analyzing Fantom Crypto Coin price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fantom's daily price indicators and compare them against related drivers, such as volatility 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 Fantom's intrinsic value. In addition to deriving basic predictive indicators for Fantom, we also check how macroeconomic factors affect Fantom 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 Fantom'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.
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 Headlines Timeline Now
Headlines TimelineStay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |
| All Next | Launch Module |
Fantom 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 Fantom 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 Fantom will appreciate offsetting losses from the drop in the long position's value.Fantom Pair Trading
Fantom Pair Trading Analysis
The ability to find closely correlated positions to Fantom could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fantom 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 Fantom - 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 Fantom to buy it.
The correlation of Fantom 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 Fantom moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fantom 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 Fantom 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, which includes a position in Fantom. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.