Iqvia Holdings Stock Overlap Studies Triangular Moving Average
| IQV Stock | USD 204.02 2.20 1.09% |
| Symbol |
The output start index for this execution was eleven with a total number of output elements of fifty. The Triangular Moving Average shows IQVIA Holdings double smoothed mean price over a specified number of previous prices (i.e., averaged twice).
IQVIA Holdings Technical Analysis Modules
Most technical analysis of IQVIA Holdings 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 IQVIA from various momentum indicators to cycle indicators. When you analyze IQVIA 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 IQVIA Holdings 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 IQVIA Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of IQVIA Holdings based on widely used predictive technical indicators. In general, we focus on analyzing IQVIA Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build IQVIA Holdings's daily price indicators and compare them against related drivers, such as overlap studies 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 IQVIA Holdings's intrinsic value. In addition to deriving basic predictive indicators for IQVIA Holdings, we also check how macroeconomic factors affect IQVIA Holdings price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Inventory Turnover | 59.19 | 62.13 | 55.92 | 33.32 | ROIC | 0.0656 | 0.0786 | 0.0925 | 0.15 |
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 Portfolio Rebalancing Now
Portfolio RebalancingAnalyze risk-adjusted returns against different time horizons to find asset-allocation targets |
| All Next | Launch Module |
IQVIA Holdings 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 IQVIA Holdings 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 IQVIA Holdings will appreciate offsetting losses from the drop in the long position's value.IQVIA Holdings Pair Trading
IQVIA Holdings Pair Trading Analysis
The ability to find closely correlated positions to IQVIA Holdings could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IQVIA Holdings 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 IQVIA Holdings - 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 IQVIA Holdings to buy it.
The correlation of IQVIA Holdings 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 IQVIA Holdings moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IQVIA Holdings 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 IQVIA Holdings 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 IQVIA Stock Analysis
When running IQVIA Holdings' price analysis, check to measure IQVIA Holdings' 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 IQVIA Holdings is operating at the current time. Most of IQVIA Holdings' value examination focuses on studying past and present price action to predict the probability of IQVIA Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IQVIA Holdings' price. Additionally, you may evaluate how the addition of IQVIA Holdings to your portfolios can decrease your overall portfolio volatility.