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Quantitative Research

Systematic
Investment
Models

About

Research-driven models for systematic investors

We build quantitative investment models grounded in peer-reviewed academic research. Open methodology. Publicly verifiable data. Systematic validation. 33 models spanning risk management, portfolio construction, macroeconomic analysis, and factor strategies.

33
Models
6
Disciplines
2019
Founded

What Sets Us Apart

Our Principles

Academic Foundations

Every model starts with peer-reviewed research from established finance journals, SSRN working papers, and NBER studies. We implement published findings rather than inventing proprietary signals without empirical grounding.

Rigorous Validation

Out-of-sample testing, walk-forward analysis, combinatorial purged cross-validation, permutation testing, and parameter sensitivity analysis. Models that fail any gate are discarded regardless of backtest performance.

Full Transparency

Free models are open-source on TradingView. Portfolio models publish daily allocations through automated pipelines. All data sources are public. Results and limitations are documented alongside each model.

Independence

No external funding, no conflicts of interest. We build tools for investors who value systematic approaches over narratives. Revenue comes from the quality of work, not from selling trades or order flow.

Methodology

Development Pipeline

01

Research

Peer-reviewed sources, published empirical findings

02

Hypothesis

Signal formalization, expected mechanism definition

03

Backtest

Walk-forward, out-of-sample, parameter sweeps

04

Validation

CPCV, permutation, bootstrap, noise injection

05

Publication

Open-source code, documentation, live monitoring

Research

Recent
Publications

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Discover
Our Models

25+ free quantitative models on TradingView. 7 portfolio strategies with daily-updated dashboards.