Municipal Total Return Fund Momentum Indicators 1 day Rate Of Change of a Triple Smooth EMA

NMTRX Fund  USD 10.21  0.04  0.39%   
Municipal Total momentum indicators tool provides the execution environment for running the 1 day Rate Of Change of a Triple Smooth EMA indicator and other technical functions against Municipal Total. Municipal Total 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 momentum indicators indicators. As with most other technical indicators, the 1 day Rate Of Change of a Triple Smooth EMA indicator function is designed to identify and follow existing trends. Momentum indicators of Municipal Total are pattern recognition functions that provide distinct formation on Municipal Total potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA is an alternative momentum indicator that shows Municipal Total Return trend by ignoring insignificant cycles.

Municipal Total Technical Analysis Modules

Most technical analysis of Municipal Total 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 Municipal from various momentum indicators to cycle indicators. When you analyze Municipal 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 Municipal Total 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 Municipal Total Return. We use our internally-developed statistical techniques to arrive at the intrinsic value of Municipal Total Return based on widely used predictive technical indicators. In general, we focus on analyzing Municipal Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Municipal Total's daily price indicators and compare them against related drivers, such as momentum indicators 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 Municipal Total's intrinsic value. In addition to deriving basic predictive indicators for Municipal Total, we also check how macroeconomic factors affect Municipal Total price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
9.9810.2110.44
Details
Intrinsic
Valuation
LowRealHigh
9.579.8011.23
Details
Naive
Forecast
LowNextHigh
9.9410.1710.40
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.1110.2310.35
Details

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In addition to having Municipal Total 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

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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.
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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.
Investor Favorites Idea
Investor Favorites
Invested over 40 shares
Hedge Favorites Idea
Hedge Favorites
Invested over 50 shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 50 shares
Business Services Idea
Business Services
Invested few shares
Baby Boomer Prospects Idea
Baby Boomer Prospects
Invested over 40 shares
Momentum Idea
Momentum
Invested few shares
Impulse Idea
Impulse
Invested few shares
Macroaxis Index Idea
Macroaxis Index
Invested few shares
Investing Idea
Investing
Invested few shares
Trump Equities Idea
Trump Equities
Invested few shares
Blockchain Idea
Blockchain
Invested few shares

Other Information on Investing in Municipal Mutual Fund

Municipal Total financial ratios help investors to determine whether Municipal 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 Municipal with respect to the benefits of owning Municipal Total security.
Technical Analysis
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Check portfolio volatility and analyze historical return density to properly model market risk