Amg Managers Montag Fund Statistic Functions Beta

MCGIX Fund  USD 12.07  0.12  1.00%   
Amg Managers statistic functions tool provides the execution environment for running the Beta function and other technical functions against Amg Managers. Amg Managers 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 Beta function function is designed to identify and follow existing trends. Amg Managers 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.

The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on Amg Managers Montag correlated with the market. If Beta is less than 0 Amg Managers generally moves in the opposite direction as compared to the market. If Amg Managers Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Amg Managers Montag is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Amg Managers is generally in the same direction as the market. If Beta > 1 Amg Managers moves generally in the same direction as, but more than the movement of the benchmark.

Amg Managers Technical Analysis Modules

Most technical analysis of Amg Managers 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 Amg from various momentum indicators to cycle indicators. When you analyze Amg 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 Amg Managers 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 Amg Managers Montag. We use our internally-developed statistical techniques to arrive at the intrinsic value of Amg Managers Montag based on widely used predictive technical indicators. In general, we focus on analyzing Amg Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Amg Managers'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 Amg Managers's intrinsic value. In addition to deriving basic predictive indicators for Amg Managers, we also check how macroeconomic factors affect Amg Managers price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
10.9612.0713.18
Details
Intrinsic
Valuation
LowRealHigh
11.0512.1613.27
Details
Naive
Forecast
LowNextHigh
11.0712.1713.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.6712.3112.96
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Amg Managers in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Amg Managers' short interest history, or implied volatility extrapolated from Amg Managers options trading.

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.
Warren Buffett Holdings Idea
Warren Buffett Holdings
Invested few shares
Impulse Idea
Impulse
Invested over 100 shares
Dividend Beast Idea
Dividend Beast
Invested over 60 shares
SRI Sustainable Growth Idea
SRI Sustainable Growth
Invested few shares
Investor Favorites Idea
Investor Favorites
Invested over 300 shares
Cash Cows Idea
Cash Cows
Invested few shares
Chemicals Idea
Chemicals
Invested over 30 shares
Power Assets Idea
Power Assets
Invested over 300 shares
ESG Investing Idea
ESG Investing
Invested few shares
Banking Idea
Banking
Invested over 40 shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 300 shares

Other Information on Investing in Amg Mutual Fund

Amg Managers financial ratios help investors to determine whether Amg 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 Amg with respect to the benefits of owning Amg Managers security.
Transaction History
View history of all your transactions and understand their impact on performance
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation