For VecViz related posts see posts by VecViz founder Rodger Coyne.  Here is a quick overview since you are here:

Price is truth. Fundamentals reveal intrinsic value. Quant brings objectivity and scale.  The synergy between is VecViz’s focus.  

VecViz provides four main ticker-level offerings:
1) A charting framework that visualizes scored support and resistance and is fundamental narrative link-able.
2) The Vector Model, scored support-resistance based, machine learning powered estimates of price probability.
3) The V-Score – a machine learning powered ranking of expected performance based upon Vector Model inputs and outputs.
4) The VNA (Vector Narrative Alignment) Target Price – where a ticker’s price belongs in its channel, given the fundamental narratives linked to it, their bullish / bearish bias, and how they’ve evolved.

VecViz can also provide fundamental narrative and analytic metric similarity based measures of ticker correlation.  

VecViz reports on the performance of its analytics in isolation and also on an ablation basis, in a portfolio optimization context.  Learn more in the reports sections of our website.  

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