NVDA+4.2%
AAPL-0.8%
TSM+2.1%
MSFT+1.3%
META+3.7%
AMZN-1.1%
GOOGL+0.9%
MRNA-6.2%
PFE+0.3%
BIIB-2.4%
AMD+5.1%
INTC-3.3%
REGN+1.8%
VRTX+2.9%
LLY+1.2%
NVDA+4.2%
AAPL-0.8%
TSM+2.1%
MSFT+1.3%
META+3.7%
AMZN-1.1%
GOOGL+0.9%
MRNA-6.2%
PFE+0.3%
BIIB-2.4%
AMD+5.1%
INTC-3.3%
REGN+1.8%
VRTX+2.9%
LLY+1.2%
NVDA+4.2%
AAPL-0.8%
TSM+2.1%
MSFT+1.3%
META+3.7%
AMZN-1.1%
GOOGL+0.9%
MRNA-6.2%
PFE+0.3%
BIIB-2.4%
AMD+5.1%
INTC-3.3%
REGN+1.8%
VRTX+2.9%
LLY+1.2%
Market Intelligence Platform — Early Access

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Three intelligence layers hedge funds pay millions for — stock multi-factor scoring, pharma Phase 3 failure prediction, and narrative momentum tracking. All from public data. All in one platform.

Get Early Access →Sign In
0+
Stocks scored
0%
Pharma accuracy
0+
Data sources
0
Jurisprudence decisions
Data fromSEC EDGARClinicalTrials.govPubMedReuters RSSYahoo FinanceFinancial Modeling PrepReddit APITwelve DataNewsAPICNBC Feed

Three intelligence layers

Everything you need.
Nothing you don't.

◎
Stock Intelligence
Multi-factor scoring via sector-relative Z-scores
NVDA
78
TSMC
84
INTC
29
→Z-score normalisation vs sector median
→Bayesian shrinkage with sparse data
→Insider flow (SEC Form 4) signal
→TF-IDF news sentiment fusion
◈
Pharma Signals
Bayesian Phase 3 failure prediction
$MRNA42% fail risk · ~52d
COVID-19 Booster · Phase 3
$REGN67% fail risk · ~140d
NSCLC · Phase 2/3
→Bayesian posterior via log-likelihood ratios
→Enrollment velocity Poisson model
→Protocol amendment detection
→PubMed mechanism-of-action risk scan
◉
Narrative Market
Market-moving story clusters in real-time
#1AI Dominance Trade
89%
#2Semiconductor Supercycle
71%
#3Rate Cuts Delayed
58%
#4Recession Fears
34%
→TF-IDF + PMI cluster detection
→Reddit + NewsAPI + Reuters fusion
→Narrative strength & direction tracking
→Tickers correlated to each narrative

The engine

Harvard-grade math.
Zero guesswork.

01
Raw signals
50+ public APIs parsed in real-time: SEC, ClinicalTrials.gov, RSS feeds, Reddit, Yahoo Finance
→
02
Normalise
Z-score vs sector median. Every metric is dimensionless and cross-comparable. No arbitrary thresholds.
→
03
Bayesian fusion
Log-likelihood ratios, Naive Bayes posterior, TF-IDF + PMI sentiment — all peer-reviewed methodology.
→
04
Your edge
Actionable signal: direction, confidence interval, price impact estimate. Seconds, not hours of research.

Why not just use Bloomberg?

Feature
Bloomberg
Manual research
DeepVane
Pharma failure prediction
✗ None
✗ Manual/slow
✓ Bayesian model
Narrative clusters
✓ Manual
✗ Impossible
✓ Automated
Z-score sector scoring
✓ Complex
✗ Impossible
✓ Built-in
Price
$24,000/yr
Your time
$299/mo
Setup time
Weeks
Hours/day
5 minutes
Free during early access

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