Ci Global Unconstrained Fund Statistic Functions Linear Regression
CUBD Fund | 20.71 0.02 0.1% |
Symbol |
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression model generates relationship between price series of CI Global Unconstrained and its peer or benchmark and helps predict CI Global future price from its past values.
CI Global Technical Analysis Modules
Most technical analysis of CI Global 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 CUBD from various momentum indicators to cycle indicators. When you analyze CUBD 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.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
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In addition to having CI Global 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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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.Artificial Intelligence Invested few shares | ||
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Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |