Ideanomics Stock Volatility Indicators Average True Range

IDEX
 Stock
  

USD 0.24  0.0051  2.22%   

Ideanomics volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Ideanomics. Ideanomics 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 Average True Range indicator function is designed to identify and follow existing trends. Ideanomics 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.

Indicator
Time Period
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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 Ideanomics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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Ideanomics Technical Analysis Modules

Most technical analysis of Ideanomics 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 Ideanomics from various momentum indicators to cycle indicators. When you analyze Ideanomics 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 Ideanomics 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 Ideanomics. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ideanomics based on widely used predictive technical indicators. In general, we focus on analyzing Ideanomics Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Ideanomics'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 Ideanomics's intrinsic value. In addition to deriving basic predictive indicators for Ideanomics, we also check how macroeconomic factors affect Ideanomics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2019 2021 2022 (projected)
PPandE Turnover3.1921.7617.38
Long Term Debt to Equity0.190.220.26
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Ideanomics' 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. Please use the tools below to analyze the current value of Ideanomics in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.010.186.78
Details
Intrinsic
Valuation
LowReal ValueHigh
0.071.428.02
Details
Naive
Forecast
LowNext ValueHigh
0.0050980.256.86
Details
1 Analysts
Consensus
LowTarget PriceHigh
5.005.005.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Ideanomics. Your research has to be compared to or analyzed against Ideanomics' peers to derive any actionable benefits. When done correctly, Ideanomics' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Ideanomics.

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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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Ideanomics 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 Ideanomics 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 Ideanomics will appreciate offsetting losses from the drop in the long position's value.

Ideanomics Pair Trading

Ideanomics Pair Trading Analysis

The ability to find closely correlated positions to Ideanomics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ideanomics 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 Ideanomics - 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 Ideanomics to buy it.
The correlation of Ideanomics is a statistical measure of how it moves in relation to other equities. 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 Ideanomics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ideanomics 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 Ideanomics 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
Please see Risk vs Return Analysis. Note that the Ideanomics information on this page should be used as a complementary analysis to other Ideanomics' 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

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When running Ideanomics price analysis, check to measure Ideanomics' 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 Ideanomics is operating at the current time. Most of Ideanomics' value examination focuses on studying past and present price action to predict the probability of Ideanomics' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Ideanomics' price. Additionally, you may evaluate how the addition of Ideanomics to your portfolios can decrease your overall portfolio volatility.
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Is Ideanomics' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Ideanomics. If investors know Ideanomics will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Ideanomics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Ideanomics is measured differently than its book value, which is the value of Ideanomics that is recorded on the company's balance sheet. Investors also form their own opinion of Ideanomics' value that differs from its market value or its book value, called intrinsic value, which is Ideanomics' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Ideanomics' market value can be influenced by many factors that don't directly affect Ideanomics' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Ideanomics' value and its price as these two are different measures arrived at by different means. Investors typically determine Ideanomics value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ideanomics' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.