Our Methodology

A systematic, quantitative approach to equity selection combining cutting-edge machine learning with battle-tested factor models.

Three Core Pillars

Data. Models. Execution.

Data Infrastructure

We ingest and normalize data from 50+ sources including fundamental metrics, price action, options flow, earnings transcripts, and alternative data feeds.

Real-time tick data from global exchanges
SEC filings and fundamental accounting data
Satellite imagery, web traffic, sentiment analysis
Economic indicators and macro data

Ensemble Models

We employ a proprietary ensemble of 142 quantitative strategies, each targeting different risk premia and market regimes.

Factor-based models (value, momentum, quality)
Deep learning architectures (LSTMs, Transformers)
Sentiment analysis via NLP on news/transcripts
Risk models to filter out tail events

Portfolio Construction

Top-ranked stocks are assembled into a diversified portfolio optimized for risk-adjusted returns using modern portfolio theory.

Equal-weight or optimized weight allocation
Sector and market cap constraints
Weekly rebalancing to capture alpha
Rigorous backtesting and walk-forward analysis

Key Factor Categories

Each category contains dozens of refined signals optimized through rigorous statistical testing.

Value

P/E, P/B, EV/EBITDA, FCF Yield, and proprietary valuation ratios adjusted for sector-specific nuances.

Momentum

Price momentum, earnings momentum, analyst revisions, and trend strength across multiple timeframes.

Quality

ROE, profit margins, asset turnover, accruals, and balance sheet strength to identify sustainable businesses.

Alternative Data

Web scraping, social media sentiment, credit card data, job postings, and satellite imagery for forward-looking insights.

Weekly Workflow

From data ingestion to signal delivery—our automated pipeline runs 24/7.

Data Refresh

Sunday night: Ingest latest market data

Model Scoring

Run 142 strategies on 5,000+ stocks

Ranking & Filtering

Aggregate scores, apply risk controls

Signal Delivery

Monday 7am: Top 10 in your inbox

Ready to see the results?

Explore our historical performance and current top picks.

View Performance See Top Picks