01 · The VecViz framework The VecViz framework Two long-term inputs, one framework, three outputs. The sections that follow take you through each block in turn. long term chart long term narrative Tops & Bottoms Analyst · Agent Vector Set channels VecEvents timing risk valuation V-Score Price probability VNA Target Price One framework · dashboards, […]
VecViz Framework Flow Chart Read More »
The below was posted on X on 9/13/2026 evening. Generated by Claude Opus 5.0 using VecViz MCP tools and the “X-Post” Skill available on the VecViz dashboard. $SMH: the baseline target sits 9.6% below spot, the upside tail is 2.5x a normal distribution’s, and the whole review turns on one call. THE VECEVENT REVIEW (by
The VecViz Vector Model How VecViz ExpandedCoverage > 5× TL;DR Coverage went from 140 tickers to more than 700. One change did it: the channel specification, from at most ~325 Fibonacci channels per name to a mixture of ~2,028 Gaussian regression confidence intervals. The regression route is about 5× faster. The tops and bottoms, the
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August 3, 9:58am EST What do the 12 strategies we developed in summer 2025 and blogged about here say as we head into August 2026? Before we share that let us first note that the strategies utilize volatility constraints ranging from 10% to 20%, and ticker concentration constraints ranging from 3% to 10%. VecViz has no idea
VecViz vs. Sigma Based MVO Ticker Weights at 7/31/2026 Read More »
Disapointing June 2026 filter performance, weighted down by pre-Agentic review VNA_Expected Return If purchased at the closing price of 6/12/26, the average of the 6 tickers in our 6/11/2026 close-based filter returned -3.45% through the 7/13/2026 close. This lagged the average price return of the 129 tickers in the screened universe by 171bps (they averaged -1.74%) and
VecViz on OpenBB Filter: Jun2026 Perf/ Jul2026 Update Read More »
July 1, 7:00am EST What do the 12 strategies we developed in summer 2025 and blogged about here say as we head into July 2026? Before we share that let us first note that the strategies utilize volatility constraints ranging from 10% to 20%, and ticker concentration constraints ranging from 3% to 10%. VecViz has no idea
VecViz vs. Sigma Based MVO Ticker Weights at 6/30/2026 Read More »
6/11/2026 9pm Mixed May 2026 filter performance bolstered by EDB Return, weighted down by P/E Ratio If purchased at the closing price of 5/12/26, the average of the 16 tickers in our 5/11/2026 close-based filter returned 2.34% through the 6/11/2026 close. This lagged the average price return of the 129 tickers in the screened universe by 2bps
VecViz on OpenBB Filter: May2026 Perf/ Jun2026 Update Read More »
5/31/2026, 8:20pm What do the 12 strategies we developed in summer 2025 and blogged about here say as we head into June 2026? Before we share that let us first note that the strategies utilize volatility constraints ranging from 10% to 20%, and ticker concentration constraints ranging from 3% to 10%. VecViz has no idea where your
VecViz vs. Sigma Based MVO Ticker Weights at 5/31/2026 Read More »
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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From Cognition to Context and Compute: VecViz’s Path to its VNA Target Price and OpenBB App ✕ From Cognition to Context and Compute:VecViz’s Path to its VNA Target Price and OpenBB App May 2026 The Founding Mission: Chart / Fundamental / Quant Synergy Price is truth. Fundamentals reveal intrinsic value. Quant brings objectivity and scale.
From Cognition to Context and Compute Read More »