Ivy Asset Strategy Fund Statistic Functions Linear Regression

IVAEX Fund  USD 23.54  0.02  0.09%   
Ivy Asset statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Ivy Asset. Ivy Asset 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 statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. Ivy Asset statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was three with a total number of output elements of fifty-eight. The Linear Regression model generates relationship between price series of Ivy Asset Strategy and its peer or benchmark and helps predict Ivy Asset future price from its past values.

Ivy Asset Technical Analysis Modules

Most technical analysis of Ivy Asset 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.

About Ivy Asset 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 Asset Strategy. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ivy Asset Strategy 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 Asset'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 Asset's intrinsic value. In addition to deriving basic predictive indicators for Ivy Asset, we also check how macroeconomic factors affect Ivy Asset 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 Asset'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.
Hype
Prediction
LowEstimatedHigh
22.9623.5424.12
Details
Intrinsic
Valuation
LowRealHigh
22.7423.3223.90
Details
Naive
Forecast
LowNextHigh
22.9123.5024.08
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
23.1023.4523.80
Details

Align your values with your investing style

In addition to having Ivy Asset in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

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.
Macroaxis Index Idea
Macroaxis Index
Invested over 90 shares
Momentum Idea
Momentum
Invested over 40 shares
Warren Buffett Holdings Idea
Warren Buffett Holdings
Invested over 40 shares
Blockchain Idea
Blockchain
Invested few shares
Manufacturing Idea
Manufacturing
Invested over 30 shares
Impulse Idea
Impulse
Invested over 100 shares
Dividend Beast Idea
Dividend Beast
Invested over 50 shares
Hedge Favorites Idea
Hedge Favorites
Invested over 100 shares
Business Services Idea
Business Services
Invested few shares
Baby Boomer Prospects Idea
Baby Boomer Prospects
Invested over 40 shares

Other Information on Investing in Ivy Mutual Fund

Ivy Asset 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 Asset security.
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