Data-Driven Equity Research
The research firm for data-driven conviction
Cross-sectional analysis across 4,200 public equities in 47 global markets. No narratives. No consensus-chasing. Pure signal.
“We eliminated qualitative overrides from our process in 2019. The model outputs the rating. Period.”
— Financist Research Methodology, 2024
Coverage
Live ratings
| Company | Sector | Rating | Fair Value | Upside |
|---|---|---|---|---|
ASML Holding ASML · Euronext Amsterdam | Semiconductors | Buy | € 892.00 | +23.1% |
Taiwan Semiconductor TSM · NYSE | Semiconductors | Buy | $ 214.00 | +19.6% |
Reliance Industries RELIANCE · NSE | Conglomerate | Buy | ₹ 3,420 | +20.1% |
Novo Nordisk NOVO-B · Copenhagen | Pharmaceuticals | Hold | DKK 645 | +2.6% |
Samsung Electronics 005930 · KRX | Technology | Hold | ₩ 76,800 | +6.1% |
LVMH Moët Hennessy MC · Euronext Paris | Luxury Goods | Sell | € 612.00 | −11.4% |
Research
Latest publications
European Semiconductors: The Mispricing Nobody Talks About
Novo Nordisk: Downgrade to Hold on Exhausted Upside
Methodology
How we work
Every thesis is stress-tested across multiple data dimensions before publication.
2.4M data points daily from financials, macro indicators, alternative data, and cross-border capital flows across 47 markets.
Multi-factor models rank every equity against sector peers, geographic cohorts, and historical analogs. The ensemble decides.
Monte Carlo stress testing, scenario analysis, and out-of-sample backtesting before any thesis reaches institutional clients.
Approach
Principles
The data is ready.
Institutional access to research, models, and daily coverage.