Methodology

Analyst “X-Factor” as a Quant Differentiator and How VecViz Can Help You Capture It

Analyst “X-Factor” as a Quant Differentiator and How VecViz Can Help You Capture It June 2, 2026 A recent Bloomberg Opinion column by a computational hydrologist1 highlighted a looming risk in AI-driven markets: convergence. The author built an AI trading platform in just six days, demonstrating how rapidly modern tooling closes the expertise gap. When […]

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VecViz(charts, narrative, quant) = valuation, risk, timing

VecViz(charts, narrative, quant) = valuation, risk, timing VecViz(charts, narrative, quant) = valuation, risk, timing VecViz is a framework for bridging charts, fundamental narrative, and quant to derive ticker price targets, performance rankings, and price probability percentiles. Deployed with MCP tools and structured prompts, the VecViz app for the OpenBB Workspace supports your exploration and scenario

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The Proof is in the Portfolios: Evaluating VecViz Analytic Features via Constrained Optimization and Ablation

December 2, 2025 Each month we publish a 100+ page report for each individual VecViz volatility and expected return related features so that we can readily answer any of the following common concerns about summary performance stats: Quant Feature Quant Feature Eval Criteria Common Concerns: Expected forward return 1) correlation to forward returns2) interquartile range

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Breaking Good: VaR & OaR Breakage Rate Regimes

December 2, 2025 Regimes help model builders differentiate market behavior into more stationary (and hence predictable) groupings. Regimes are commonly defined in terms of levels or growth rates in macroeconomic variables and market indices. Research on regime based models dates back at least to 1989. Here we discuss a regime framework built around the thesis

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Quantifying Narrative Similarity with VecEvent Correlation

December 2, 2025 Correlation measured using trailing returns is volatile and backward looking Many investors measure diversification via historic return correlation, which is itself correlated to volatility. When incorporated into portfolio risk metrics such as VaR, it can encourage selling amidst panics and buying amidst complacent booms. VecEvent based correlation is more stable and very

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