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.

4,200+
Equities Covered
47
Markets Tracked
2.4M
Data Points Daily
89%
Directional Accuracy

“We eliminated qualitative overrides from our process in 2019. The model outputs the rating. Period.”

— Financist Research Methodology, 2024

Coverage

Live ratings

CompanySectorRatingFair ValueUpside
ASML Holding
ASML · Euronext Amsterdam
SemiconductorsBuy€ 892.00+23.1%
Taiwan Semiconductor
TSM · NYSE
SemiconductorsBuy$ 214.00+19.6%
Reliance Industries
RELIANCE · NSE
ConglomerateBuy₹ 3,420+20.1%
Novo Nordisk
NOVO-B · Copenhagen
PharmaceuticalsHoldDKK 645+2.6%
Samsung Electronics
005930 · KRX
TechnologyHold₩ 76,800+6.1%
LVMH Moët Hennessy
MC · Euronext Paris
Luxury GoodsSell€ 612.00−11.4%

Research

Latest publications

27 Mar 2026Macro

Cross-Sectional Evidence Against the Soft Landing Narrative

24 Mar 2026Sector

European Semiconductors: The Mispricing Nobody Talks About

20 Mar 2026Equity

Novo Nordisk: Downgrade to Hold on Exhausted Upside

Methodology

How we work

Every thesis is stress-tested across multiple data dimensions before publication.

1
Ingest

2.4M data points daily from financials, macro indicators, alternative data, and cross-border capital flows across 47 markets.

2
Score

Multi-factor models rank every equity against sector peers, geographic cohorts, and historical analogs. The ensemble decides.

3
Validate

Monte Carlo stress testing, scenario analysis, and out-of-sample backtesting before any thesis reaches institutional clients.

Approach

Principles

Cross-sectional first
Every equity ranked against every peer across 140+ factors simultaneously. The data speaks before any analyst does.
Global by default
Capital doesn't respect borders. A semiconductor in Hsinchu is compared to one in Eindhoven in real time.
Transparent audit trail
Every rating ships with the data, the model, and the logic. Full reproducibility. No black boxes.
No narrative bias
The model outputs the rating. We don't adjust for stories, sentiment, or consensus expectations.

The data is ready.

Institutional access to research, models, and daily coverage.