Ivy Balanced Fund Statistic Functions Linear Regression
| IBNYX Fund | USD 23.74 0.16 0.67% |
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Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Ivy Balanced and its peer or benchmark and helps predict Ivy Balanced future price from its past values.
Ivy Balanced Technical Analysis Modules
Most technical analysis of Ivy Balanced 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 Ivy from various momentum indicators to cycle indicators. When you analyze Ivy 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Ivy Balanced 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 Ivy Balanced Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ivy Balanced Fund based on widely used predictive technical indicators. In general, we focus on analyzing Ivy Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Ivy Balanced's daily price indicators and compare them against related drivers, such as statistic functions 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 Ivy Balanced's intrinsic value. In addition to deriving basic predictive indicators for Ivy Balanced, we also check how macroeconomic factors affect Ivy Balanced 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 Ivy Balanced'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.
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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Hedge Favorites Invested over 40 shares | |
 | Investor Favorites Invested over 200 shares | |
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 | Momentum Invested over 40 shares | |
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 | Impulse Invested few shares | |
 | Macroaxis Index Invested few shares | |
 | Blockchain Invested few shares | |
 | Electronic Equipment Invested few shares | |
 | FinTech Invested few shares | |
Other Information on Investing in Ivy Mutual Fund
Ivy Balanced financial ratios help investors to determine whether Ivy Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ivy with respect to the benefits of owning Ivy Balanced security.
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