Quantitative Equity Research
Three years of systematic research, every candidate on record.
Each week, a trained machine learning model ranks equity candidates against a library of historical “big mover” patterns. Results are published unedited and permanently archived.
Week of June 29, 2026
Recent matured outcomes
| Week | Candidates | Avg peak return | 100%+ hits |
|---|---|---|---|
| Apr 13, 2026 | 43 | +130.8% | 35% |
| Apr 06, 2026 | 42 | +225.0% | 38% |
| Mar 30, 2026 | 35 | +157.1% | 43% |
| Mar 23, 2026 | 58 | +153.1% | 43% |
| Mar 16, 2026 | 43 | +140.9% | 30% |
| Mar 09, 2026 | 53 | +73.3% | 25% |
Portfolio growth by model era
Each week, the top 3 ranked candidates are bought at $500 per position. Each position exits when it hits the 150% take-profit target, falls to the 50% stop-loss, or — if neither triggers within 30 weeks — closes at whatever return it reached by then (a time exit). The dashed line marks the last candidate week; positions opened near the end continue resolving into the tail until all are settled. Hover to inspect any week.
No human touches the research pipeline — it could run fully unattended for the next five years, and every output would still be cryptographically timestamped and permanently on the record. Three years of simulated results already show the edge: average returns of +135%, independently auditable by anyone.
See how it's verified →131 weeks of unedited research, freely searchable.
The full candidate archive — every ticker, every tier, every matured outcome — is open to anyone. Subscriber access unlocks the current week's ranked candidates before the 12-week maturation window closes.
Analog Ledger publishes historical pattern-match research for general circulation. All content is analytical and educational in nature. Nothing here constitutes personalized investment advice or a recommendation to buy or sell any security. Past performance of historical patterns does not guarantee future results. Simulated results do not reflect actual trading and assume no slippage, fees, or taxes.