Science Technology Fund Overlap Studies Triple Exponential Moving Average

USTCX Fund  USD 28.67  0.03  0.10%   
Science Technology overlap studies tool provides the execution environment for running the Triple Exponential Moving Average study and other technical functions against Science Technology. Science Technology 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 overlap studies indicators. As with most other technical indicators, the Triple Exponential Moving Average study function is designed to identify and follow existing trends. Science Technology overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. Science Technology Triple Exponential Moving Average indicator shows smoothing effect of Science Technology price series composite of a single exponential moving average, a double exponential moving average and a triple exponential moving average.

Science Technology Technical Analysis Modules

Most technical analysis of Science Technology 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 Science from various momentum indicators to cycle indicators. When you analyze Science 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 Science Technology 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 Science Technology Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Science Technology Fund based on widely used predictive technical indicators. In general, we focus on analyzing Science Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Science Technology's daily price indicators and compare them against related drivers, such as overlap studies 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 Science Technology's intrinsic value. In addition to deriving basic predictive indicators for Science Technology, we also check how macroeconomic factors affect Science Technology 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 Science Technology'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
27.3728.6729.97
Details
Intrinsic
Valuation
LowRealHigh
26.8728.1729.47
Details
Naive
Forecast
LowNextHigh
26.8028.0929.39
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.4628.4229.39
Details

Align your values with your investing style

In addition to having Science Technology 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.
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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.
Entertainment Idea
Entertainment
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Macroaxis Index Idea
Macroaxis Index
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Warren Buffett Holdings Idea
Warren Buffett Holdings
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Business Services Idea
Business Services
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Banking Idea
Banking
Invested over 20 shares
Investor Favorites Idea
Investor Favorites
Invested over 40 shares
Disruptive Technologies Idea
Disruptive Technologies
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Cash Cows Idea
Cash Cows
Invested few shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 50 shares
Macroaxis Picks Idea
Macroaxis Picks
Invested over 30 shares
Chemicals Idea
Chemicals
Invested over 30 shares
Baby Boomer Prospects Idea
Baby Boomer Prospects
Invested over 60 shares
ESG Investing Idea
ESG Investing
Invested few shares

Other Information on Investing in Science Mutual Fund

Science Technology financial ratios help investors to determine whether Science 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 Science with respect to the benefits of owning Science Technology security.
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