Hull Moving Average - Erika Barker — Miami-Based AI, Data Science, and Tech Journalism

My Z-Score Probability Indicator with Hull Moving Average (HMA)

October 1, 2024May 26, 2024 by Erika Barker

My Z-Score Probability Indicator enhanced with the Hull Moving Average (HMA), inspired by the pioneering quantitative trading strategies of Jim Simons and Renaissance Technologies. This indicator helps traders visualize price movement probabilities by combining the Z-Score and HMA, providing a robust tool for identifying potential price reversals and trend continuations.

Why I love the Hull Moving Average (HMA)

July 2, 2024May 23, 2024 by Erika Barker

Why I love the Hull Moving Average (HMA), a sophisticated and responsive tool created by Alan Hull, which offers reduced lag and smoother trend indications compared to traditional moving averages like SMA and WMA. The HMA’s versatility extends beyond finance, finding applications in fields such as science, engineering, and meteorology for analyzing complex data.

About Erika Barker | Data Scientist,& Investigative Storyteller

I’m Erika Barker, a Miami-based data scientist, Navy veteran, journalist, and investigative storyteller. My career began in combat journalism for the U.S. military and evolved through graduate-level teaching, creative direction in New York, and advanced study in business and data science. Today, I focus on how machine learning, AI, and data analysis can reveal hidden patterns in human systems, and how those insights can be translated into stories that drive understanding and action.

I specialize in predictive analytics, machine learning, and data visualization, I build models and narratives that explore the trajectories shaping our society, from technology and finance to culture and governance. My work spans from creating dashboards and decision frameworks to producing investigative media like The Gray Files podcast, where I examine the human impact of emerging technologies through a data-driven lens.