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

EXPERIMENT ARCHIVE

Failure is signal.The gate stays closed.

Salarium preserves attractive hypotheses that failed governance alongside the decisions that shaped the locked release. Nothing is promoted because one aggregate number looks good.

ACTIVE RESEARCH / VII

Crisis-diversifier sleeve.

Gold, oil, Treasuries, commodities, inflation protection, cash, and cross-asset trend were tested as governed portfolio sleeves.

NOT PROMOTED
LEADING VARIANT20% oilresearch leader, not selected policy
ANNUALIZED NET48.1%50.1% cash-yield comparator
MAX DRAWDOWN-33.4%-49.2% comparator
NET SHARPE1.4971.335 comparator
FROZEN ACCEPTANCE GATES8 / 9 passed
Maximum drawdownPASS
Expected shortfallPASS
Recovery timeFAIL
Return dragPASS
Net SharpePASS
Yearly consistencyPASS
Holdout drawdownPASS
Holdout SharpePASS
25 bp cost stressPASS

DECISION / NON PROMOVETUR

Promising sample.
Insufficient hedge.

The leading 20% oil comparator improved maximum drawdown by 15.8% and Sharpe by 0.162, but reduced the longest recovery by only 3.6% against a frozen 20% requirement.

Its strength is concentrated in the inflationary sample. It is not reliable enough to alter the release architecture.

PRE-SPECIFIED STRESS WINDOWS / ETF TOTAL RETURN2008—2022
WindowSPYGLDUSOTLT
Global financial crisis-46.4%10.8%-69.2%13.0%
US debt downgrade / euro stress-17.5%11.1%-19.9%33.4%
Q4 2018 equity selloff-19.2%6.6%-41.8%5.2%
COVID-19 liquidity shock-33.7%-3.6%-56.4%14.2%
2022 inflation/rate bear market-24.5%-7.3%29.4%-29.3%

ETF proxies, not contract-level futures. Integrated Salarium evidence covers 139 simulated out-of-sample rebalances from 2021–2026; 2026 is partial. The fair comparator adds Treasury-bill yield to unused capital. No live performance.

LOCKED RELEASE LEDGER / I—VI

EXP 01ACCEPTED

Keep the Liquid-500 portfolio universe

Hypothesis
Did expanding the portfolio universe to roughly 2,000 names improve out-of-sample performance?
Result
The broader point-in-time universe reduced drawdown in the risk-scaled policy, but materially weakened annualized return, Sharpe, and ranking IC. More names did not create a better portfolio model.
Decision
Retain Liquid-500 for Salarium 1.0 portfolio construction; keep broad coverage as a separate discovery and research funnel.
Evaluation period
2021–2026
Source artifact
reports/experiments/broad_vs_liquid500_walkforward.csv
Commit / updated
7c730e84c409 · Aug 11, 2026, 11:14 PM UTC
EXP 02ACCEPTED

Predict 20 days; rebalance every 10

Hypothesis
Was the original five-day target and five-day rebalance cadence too short and too active?
Result
Separating prediction horizon from trading cadence showed that Salarium's signal is slower-moving. The 20D model traded every 10 days improved both return and Sharpe versus the original 5D/5D design.
Decision
Lock a 20-trading-day model horizon and 10-trading-day rebalance cadence.
Evaluation period
2021–2026
Source artifact
reports/experiments/horizon_rebalance_static_matrix.csv
Commit / updated
7c730e84c409 · Aug 11, 2026, 11:14 PM UTC
EXP 03ACCEPTED

Concentrate on the Top-10

Hypothesis
Could a broader 20–75 name portfolio preserve alpha while reducing risk?
Result
Additional breadth reduced volatility and turnover, but diluted return faster than it improved risk-adjusted performance. The model's useful alpha remained concentrated near the top of the ranking.
Decision
Keep Top-10 concentration with a rank-15 persistence buffer; manage joint risk through covariance rather than indiscriminate breadth.
Evaluation period
2021–2026
Source artifact
reports/experiments/portfolio_breadth_static.csv
Commit / updated
7c730e84c409 · Aug 11, 2026, 11:14 PM UTC
EXP 04ACCEPTED

Replace standalone risk with joint risk

Hypothesis
Could covariance-aware construction preserve concentrated alpha while reducing redundant correlated risk?
Result
A 60D Ledoit-Wolf maximum-diversification portfolio improved Sharpe and Sortino while modestly improving drawdown versus inverse-volatility weighting. The optimizer completed without fallback in the selected configuration.
Decision
Use 60D shrinkage maximum diversification as the primary risk anchor; retain minimum variance as the defensive comparator.
Evaluation period
2021–2026
Source artifact
reports/experiments/covariance_portfolio_overall.csv
Commit / updated
7c730e84c409 · Aug 11, 2026, 11:14 PM UTC
EXP 05ACCEPTED

Give the signal a governed 25% vote

Hypothesis
Should conviction influence weights after Top-10 selection and covariance optimization?
Result
A 25% signal blend increased the balanced mandate's simulated return while leaving overall Sharpe nearly unchanged. Higher blends continued to raise return but progressively increased volatility and drawdown.
Decision
Blend 25% signal-aware weights with 75% covariance-risk weights under the 18% single-name cap.
Evaluation period
2021–2026
Source artifact
reports/experiments/signal_aware_covariance_overall.csv
Commit / updated
7c730e84c409 · Aug 11, 2026, 11:14 PM UTC
EXP 06ACCEPTED

Cap leverage; never force it

Hypothesis
Did the evidence justify using portfolio exposure above 1.00x?
Result
The selected portfolio and exposure policies did not require leverage above 1.00x in the committed evaluation. The risk layer found more value in de-risking than in borrowing additional capital.
Decision
Retain a hard 1.25x governance ceiling as permission—not a target—and keep the selected mandate unlevered unless future risk evidence earns additional exposure.
Evaluation period
2021–2026
Source artifact
reports/experiments/signal_aware_covariance_overall.csv
Commit / updated
7c730e84c409 · Aug 11, 2026, 11:14 PM UTC