Systematic TVME research

Marketroller Club

A quantitative research project for ranked stock universes, model portfolio creation, individual TVME reports, and user-directed TVME screeners.

Quantitative stock research Multi-factor Model portfolios

(TVME) Trend & Valuation Methodology Enhanced Scale: 0-10

TVME Scoring Pillars

Each stock is ranked by pillar. A score of 10 represents the highest-ranked group.

Average TVME Score (Business Edge + Quality + Valuation + Earnings Momentum)0-10

Business Edge0-10

Quality0-10

Valuation0-10

Growth0-10

Dividend0-10

Earnings Momentum0-10

Price Momentum0-10

01 Select universe

Established or curated coverage lists.

02 Score stocks

TVME pillars rank every eligible company.

03 Combine pillars

Alpha search with multiple layers.

04 Select portfolio

Final holdings and target weights are published.

Published research board

Ready-made models with saved portfolio evidence

Subscribers can review portfolio factsheets, equity curves, backtest metrics, current holdings, prior portfolios, and adjust current portfolio proposal using TVME screeners before deciding how to use a model in their own account.

Published Model Board

Model	Universe	Cadence	Access

TVME research model

Quantified factors, ranked stocks, market-theme combinations

TVME converts fundamental and market data into comparable stock scores, then searches for factor combinations that fit the prevailing market themes.

Business Edge Durability and competitive strength

Quality Capital efficiency and balance-sheet resilience

Valuation Cycle-aware and growth-adjusted discipline

Growth Sales, earnings, and compounding profile

Earnings Momentum Improving revisions and operating traction

Price Momentum Relative strength and market confirmation

Subscriber research outputs

Model portfolios, TVME reports, and user-directed adjustments

Score

Stocks are ranked inside existing market universes and carefully selected internal universes.

Combine

Factor layers are combined to match the research view on quality, value, growth, momentum, and sectors.

Publish

Approved model portfolios keep saved backtests, current holdings, previous portfolios, and metrics.

Adjust

Users can keep the model portfolio or adjust holdings themselves before creating an allocation output.

Research coverage

Global universes, local research control

Research can run on established universes and on curated Marketroller universes across USA, Europe, Switzerland, and Mainland China. The aim is to make factor evidence visible without exposing the proprietary scoring formula.

USA Europe Switzerland Mainland China

Research, not discretionary execution

Marketroller Club publishes systematic research, model portfolio data, quantitative TVME reports, and allocation worksheets for self-directed review. Broker execution and final portfolio decisions stay with the user.