vecviz(charts, narrative)
= valuation, risk, timing

Find candidates

• Start with yesterday's extremes. The Report Dashboard shows which tickers broke their 99th-percentile downside or upside channel bounds (99D / 99U), the current structural profile of recent top and bottom performers, and which names appear most often across VecViz model portfolios.
• Screen the universe on VecViz metrics. Sort and filter the VV Data Table by V-Score, VNA return, Vector Model EUB / EDB expected returns, 99D / 99U returns, Sigma volatility, trailing and forward returns, and liquidity decile. Thirteen months of trailing data for most tickers.

Ticker-level: Valuation

• Audit the target price down to the catalyst. See what the Vector Narrative Alignment (VNA) target is built from, VecEvent by VecEvent and channel by channel — which narrative events and which structural boundaries are shaping the number.
• See the chart structure beneath the price. View the multi-year channel geometry — the long-term support and resistance structure that VecViz valuation and probability estimates are built on — for any ticker in coverage.
• Compare fair value across two names. Put the Option Fair Value of any two tickers side by side, and with it the price probability distribution each one implies.

Ticker-level: Risk

• Weigh downside against upside. Contrast a ticker's Value-at-Risk (VaR) with its Opportunity-at-Risk (OaR), then check where today's balance sits against that ticker's own history.
• Find diversifiers on three axes. Identify names that diversify your core holdings not only by trailing price-return correlation, but also by narrative similarity and long-term chart structure similarity.

Ticker-level: Timing

• Break the V-Score down by horizon. Review each component of the composite timing score across horizons, alongside the closest historical bull-case and bear-case setups that resemble the ticker today.

Portfolio

• Benchmark your allocation against 108 model portfolios. Get optimized ticker weightings across 9 combinations of max position size and max expected portfolio volatility, each run through 12 expected-return / ticker-vol / correlation methodologies.
• See how the analytics have actually performed. Review the track record of VecViz metrics over the most recent day, month, and year.