Skip to content
Salarium Classical Profile MarkSALARIUMAUTONOMOUS INVESTMENT RESEARCH
RankingsPortfolioSimulationResearchMethodologyArchitectureAbout
1.0.0-RC1/RELEASE CANDIDATE
Salarium Classical Profile MarkSALARIUMAUTONOMOUS INVESTMENT RESEARCH

Open-source systematic equity research: governed data, out-of-sample rankings, concentrated portfolio construction, and auditable risk decisions.

Research only. Not investment advice. No live order execution.

EXPLORE

RankingsPortfolioSimulationResearchMethodologyArchitectureAboutPerformanceExperimentsCandidatesDisclosures

EVIDENCE

Forward paper snapshotRelease snapshot20D release rankingsCandidate snapshot

PROJECT

GitHub repositoryModel cardRelease notes
COMMIT 7c730e84c409SNAPSHOT AUG 11, 2026, 11:14 PM UTC© 2026 NIALL GILLEN · MIT LICENSE

Research boundaries

Read the limitationsbefore the metrics.

Salarium is designed to make risk and uncertainty visible. These disclosures define what the system is, what its evidence represents, and what no visitor should infer from the interface.

Release evidence

Aug 11, 2026, 11:14 PM UTC

Regenerated from committed reports

Ranking artifact

Jun 10, 2026

25 names · committed · not live

Candidate artifact

Jul 10, 2026

20 monitored names · not live

Execution status

Research only

No brokerage connection or live order routing

01

Research—not investment advice

Salarium is an educational and quantitative research system. Nothing on this website is a recommendation, solicitation, personalized portfolio, suitability determination, or promise of future performance.

02

Simulated historical performance

All displayed returns, Sharpe ratios, Sortino ratios, drawdowns, hit rates, turnover, exposure, and related metrics are simulated historical research outputs. They are not live brokerage-account results.

03

Backtest and selection risk

The project evaluates multiple hypotheses. Even with walk-forward discipline, choosing an architecture after observing historical results creates model-selection and overfitting risk. Future market structure can differ materially from the research period.

04

Universe and data limitations

The Liquid-500 and broad-universe pipelines rely on available price, liquidity, macro, and fundamental inputs. The project retains a documented survivorship-bias limitation, and point-in-time coverage is not complete for every feature or security.

05

Transaction costs and capacity

Research deductions cannot fully represent spreads, market impact, borrow availability, financing terms, taxes, operational latency, or portfolio capacity. Real execution can be materially worse than simulated execution.

06

Covariance and risk estimates

Ledoit-Wolf shrinkage improves stability but does not make covariance forecasts certain. Correlations and volatility can change abruptly, especially in market stress, causing realized risk to exceed forecasts.

07

Leverage governance

The release architecture contains a hard 1.25x exposure ceiling. That ceiling is permission, not a target. The selected release mandate did not require leverage above 1.00x in the committed evaluation. Leverage can magnify losses and financing costs.

08

Rankings and candidates

A high model rank or candidate score is not a trade instruction. Security selection, covariance, position caps, persistence buffers, evidence quality, and portfolio-level exposure rules intervene after ranking.

09

No live execution

Salarium 1.0 does not connect to a broker, route orders, manage client assets, monitor personal accounts, or provide execution services. The public site reads frozen research and forward paper artifacts.

10

Open-source responsibility

Users who run, modify, or deploy the source code are responsible for validating data licenses, software behavior, security, regulatory obligations, and financial risk in their own environment.

Artifact freshness

The public data is versioned, not streamed.

Dates below identify the precise artifacts displayed by the site. The forward paper file refreshes after eligible market closes; it is not an exchange-grade real-time feed or brokerage record.

Forward paper signal

Sep 29, 2026

499 scored · no orders

Release evidence

Aug 11, 2026, 11:14 PM UTC

7c730e84c409

Ranking signal date

Jun 10, 2026

25 committed rankings

Candidate as-of date

Jul 10, 2026

20 monitored candidates

Bottom line

Do not make a financial decision from one model output.

Independent due diligence, professional advice where appropriate, and a clear understanding of loss tolerance are necessary before any real capital decision. A transparent model can still be wrong.

Continue with context

Review research evidence →Understand the systemOpen paper JSONOpen release JSON