Global E Portfolio Fund Math Operators Lowest value over a specified period

MLMAX Fund  USD 21.40  0.07  0.33%   
Global Core math operators tool provides the execution environment for running the Lowest value over a specified period operator and other technical functions against Global Core. Global Core 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 math operators indicators. As with most other technical indicators, the Lowest value over a specified period operator function is designed to identify and follow existing trends and Legg Mason Partners. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Legg Mason Partners and Global Core. Please specify Time Period to run this model.

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Lowest value over a specified period line plots minimum value of Global E Portfolio price series.

Global Core Technical Analysis Modules

Most technical analysis of Global Core 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 Global from various momentum indicators to cycle indicators. When you analyze Global 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 Global Core 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 Global E Portfolio. We use our internally-developed statistical techniques to arrive at the intrinsic value of Global E Portfolio based on widely used predictive technical indicators. In general, we focus on analyzing Global Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Global Core's daily price indicators and compare them against related drivers, such as math operators 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 Global Core's intrinsic value. In addition to deriving basic predictive indicators for Global Core, we also check how macroeconomic factors affect Global Core price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
20.6521.4022.15
Details
Intrinsic
Valuation
LowRealHigh
20.4021.1521.90
Details
Naive
Forecast
LowNextHigh
20.6821.4322.18
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.5621.1421.71
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Global Core. Your research has to be compared to or analyzed against Global Core's peers to derive any actionable benefits. When done correctly, Global Core's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Global E Portfolio.

Become 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 Price Exposure Probability Now

   

Price Exposure Probability

Analyze equity upside and downside potential for a given time horizon across multiple markets
All  Next Launch Module

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 few shares
Social Domain Idea
Social Domain
Invested few shares
Macroaxis Picks Idea
Macroaxis Picks
Invested few shares
Dividend Beast Idea
Dividend Beast
Invested over 50 shares
Momentum Idea
Momentum
Invested over 60 shares
Business Services Idea
Business Services
Invested few shares
Power Assets Idea
Power Assets
Invested over 200 shares
Driverless Cars Idea
Driverless Cars
Invested over 200 shares
Artificial Intelligence Idea
Artificial Intelligence
Invested few shares
Hedge Favorites Idea
Hedge Favorites
Invested over 40 shares
Corona Opportunity Idea
Corona Opportunity
Invested few shares

Other Information on Investing in Global Mutual Fund

Global Core financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Core security.
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk