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

Must narrative follow price? Must valuation be without quant context?

Narrative is often proposed to explain the drift of price relative to its channel. VecViz’s VNA (Vector-Narrative Alignment) Target Price inverts that discourse — it tells you where a ticker’s price should be relative to its channel trajectories based upon an LLM sourced and characterized narrative timeline.

The VNA Target Price is not a catalyst. Nor is it a certainty. Thus, we package it together with VecViz’s V-Score forward performance rankings and Vector Model price probabilities, each of which has close algorithmic ties to the VNA process. Both have four years of out of sample performance behind them. Together, they provide active investors a unified view of price target, timing, and likelihood.

Narrative drives VecViz analytics through Tops and Bottoms.

VecViz algorithmically distills long term daily price charts down to a dozen or so tops, and a dozen or so bottoms. With the help of an LLM, VecViz distills the drivers of those Tops and Bottoms into a dozen or so VecEvent narratives. These Tops and Bottoms tend to be associated with much higher than average trading volume, and academic research consistently indicates higher volume prices carry more information value.² All of VecViz’s analytics flow from them, as indicated in the chart below.

This flow chart omits the direct role of Tops and Bottoms in the Vector Model and V-Score, and the role of Model Date Price, which directly affects Vector Strength, the Vector Model, V-Score, and the VNA Target Price.

Beyond the VNA Target Price, VecViz’s ticker level analytics include:

• The Vector Model’s jumpy, asymmetric, time horizon specific, stochastic-like estimates of price probability for forward periods spanning from 1d to 1 year, and corresponding Gaussian bell curve “Sigma” based probabilities, for comparison purposes.
• Option Fair Value estimates based upon the Vector Model price probabilities by forward date are presented for a broad range of standardized strikes and expiration dates.
• V-Score ranking of expected forward price return ranges from -12 to +12, reflecting the sum of scores ranging from -2 to +2 for six forward time horizons ranging from 1d to 1yr forward.

Coverage currently spans 140 of the most popular tickers in the equity and corporate credit markets, with significant expansion planned by year end 2026. Analytics are updated daily, based upon closing prices, typically by 9pm EST.

The performance of all VecViz analytics except the VNA Target Price is detailed in the Reports section of the vecviz website. The VNA Target Price was recently introduced and can’t be back tested since it is dependent upon a third party LLM. We expect to begin publishing VNA Target Price performance reports in 2027.

The VecViz app on OpenBB

VecViz delivers all the analytics described in the preceding section in its OpenBB app via eight widgets. Here are some highlights, grouped by our favorite workflows:

The VecViz on OpenBB Filter workflow — The VV Data Table widget isn’t the flashiest, as you can tell from the image below, but it has generated some good ideas in our VecViz on OpenBB Filter blog series. Delivering a year’s worth of analytics by ticker, this widget is also great for tracking and charting changes and trends in the V-Score and other metrics, over time.

VNA Target Price Workflow. The VNA Target Price Workflow involves the Vector Strength Histogram, Vector Narrative Alignment (VNA), and VNA Regression Scatter widgets, at a minimum. As depicted in the images, it also commonly includes our “VNA What-If” MCP tool and Copilot review of the VecEvents using earnings transcripts and other sources.

The Price Probability & Option workflow informs comparison of probabilities across percentiles, horizons, models, tickers, and the past — great context for the VNA or any other target price, and risk and opportunity considerations more broadly. It involves the Price Probability Forecast, Vector & Sigma VaR/OaR History, and Option Fair Value Estimate widgets, displayed together in the image below.

The V-Score workflow informs the timeliness of the ticker’s bullish or bearish prospects, and provides sometimes thought provoking analogues of similar top and bottom quintile performing ticker–model dates, by time horizon, from the past.

API key access (available at vecviz.com) unlocks the full coverage universe and each of the widgets enabling the workflows described above, several explanatory widgets, and several structured prompts and MCP tools to help enhance your use of the app via OpenBB Copilot.

A real workflow: VecViz OpenBB Filter and surfaced ticker review.

In the video below we implement a large part of the filter we’ve run on OpenBB and blogged about for the last six months or so, adding to it the VNA Target Price and running it with MCP tooling. We review the top ticker surfaced with the widgets discussed above and related MCP tools. We further introduce and explain our new metric, the VNA Target Price, in the process. The video has a timeline, so you can skip to the sections of most interest.