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

1. Review the daily report to see which tickers experienced 99D and 99U breaks yesterday, the current profile of recent top and bottom performers, and which are most commmonly held in model portfolios.
2. Filter and sort the VV Data Table by V-Score, VNA price return, Vector Model EUB and EDB returns, 99D and 99U returns, etc., in the context of "Sigma" vol, and trailing and forward returns, and recent trading liquidity decile. Data for trailing thirteen months is available for most tickers.
3. Compare the Option Fair Value (and implicitly, the price probability distribution), of any two tickers in coverage.
4. See the long term channel structure behind the VNA or any other target price.
5. Review what the VNA target price is actually based upon, VecEvent by VecEvent, channel by channel.
6. View model portfolio ticker weightings that reflect 9 combinations of max ticker weight and max expected portfolio volatiltiy constraints across 12 expected return / ticker vol / correlation methodologies.
7. Compare a ticker's downside VaR to its upside OaR, then check whether today's bound is normal for that name against its own history.
8. Find diversifiers: spot names whose narrative and long-term chart shape genuinely differ from your core holding, not just names with a low trailing price return correlation.
9. Review the V-Score components by horizon and associated closest bull and bear historic comps.
10. Review the performance of our analyticsover the most recent day, month, year.

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