VecViz V-Score (VS) Performance Report Summary: 1/30/2025

VecViz’s performance reports analyze the behavior and effectiveness of our analytics. This post focuses on the ‘VecViz V-Score (VS) Performance Report’ as of February 1, 2025. It summarizes key findings and explains how to use the report to investigate the performance of specific tickers.. You can find this report on the “Reports” page of the […]

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Expected Body Performance Report Summary: 1/31/2025

VecViz’s analytic performance reports document the behavior and performance of our analytics. This post focuses on the “VecViz Expected Up Body & Expected Down Body (EUB & EDB) Performance Report” as of January 31, 2025, Here we will summarizes the key findings, and explain how to use the report to investigate the performance of specific

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Support and Resistance’s Evolving Definition

VecViz provides “Support and Resistance Based Investment Analytics”. Support and Resistance are long standing, popular concepts in technical analysis. However, the definition of neither “Support” nor “Resistance” has ever been well settled, let alone the methodology for identifying and measuring it.  In the table below we summarize four papers from academia that focus on Support

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Mitigating Common Mean Variance Optimization Process Challenges

Mean Variance Optimization is primarily the concern of institutional investors and quants, but this blog can still be of interest to individual investors who actively consider their personal asset allocation. With month end, quarter end, and fiscal year end approaching, many institutional investment teams are in the late innings of portfolio strategy and asset allocation

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Analyst Price Forecast Evaluation Case Study: Gold as of 9/13/2024

In this case study we illustrate how the VecViz’s Dashboards, can improve understanding of and provide fertile material for dialogue related to a price forecast by (1) placing the forecast in the context of the strongest historical price channel trajectories (i.e., Vector Sets) supporting it, (2) providing related probability estimates, and (3) allowing for efficient

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