Institutional-grade quantitative equity research, built on public data, available without a $25,000/year Bloomberg terminal.
The math behind professional quant investing isn't secret. Fama-French 1992 is public. Sloan 1996 is public. Asquith-Pathak-Ritter 2005 is public. The papers that describe the edges institutional funds trade on are literally citable from this page. What's not public is the engineering — the pipeline that turns thirty years of academic findings into a daily score you can actually use.
DeepVane is that pipeline, built once and exposed for free. Twelve factor families, fifteen confluence patterns, Bayesian regime detection, Bayesian Phase 3 failure prediction, conformal prediction intervals. The code implementations exist because we wrote them from the primary literature, not because we licensed them from anyone.
The product thesis: if retail investors had the same math institutional funds use, they'd size positions more honestly and lose less money to overtrading, consensus-chasing, and narrative investing. The best way to test that thesis is to put the math in front of them and see what happens.
DeepVane is the work of a single independent engineer, self-funded through the calibration phase. The math stack and pipeline were written over two intense months — every factor scorer implemented from the original paper, every integration layer written and reviewed against published benchmarks.
No VC capital has been accepted. No founder-friend-led institutional money. No acquisition talks. This is deliberate — the only way to maintain the honest pricing and honest timeline described on the pricing page is to not have external runway pressure. Post-16 May 2026 with verified track record, that posture may change — but only on terms that keep the public-access layer free.
Founder bio TBD. Full public attribution — name, LinkedIn, prior work, academic background — will be added here with the Pro launch on 16 May 2026. Before we put a face on the project, we want the track record to speak for itself. In the meantime, reach out at the contact below for any investor or partnership questions.
Related: methodology · moat · track record · pricing