James Alpha Global Fund Math Transform Inverse Tangent Over Price Movement

JARIX Fund  USD 15.46  -0.13  -0.83%   
This math transform tool runs Inverse Tangent Over Price Movement transformation and companion studies for JAMES ALPHA. It emphasizes price transformations that reveal shifts in trend structure while keeping volatility, risk, and performance context in view.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. James Alpha Global Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe JAMES ALPHA price patterns.

JAMES ALPHA Technical Analysis Modules

Most technical analysis of JAMES ALPHA 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 JAMES from various momentum indicators to cycle indicators. When you analyze JAMES 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 JAMES ALPHA GLOBAL REAL ESTATE INVESTMENTS PORTFOLIO JAMES ALPHA GLOBAL REAL ESTATE INVESTMENTS PORTFOLIO CLASS I SHARES

Liquidity and pricing cadence can influence observed volatility and execution context. Lower liquidity may increase execution variability. The five-year return stands at 1.0%.

Methodology

Unless otherwise specified, data for James Alpha Global is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. James Alpha Global market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

James Alpha Global may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.


Be your own money manager

Tracking JAMES ALPHA inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

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Align your risk and return expectations

By capturing risk tolerance and investment horizon, Macroaxis optimization evaluates acceptable risk for target return profiles. The process summarizes how much risk can be taken for a given return goal.