Acquisition position
Current all in cost
1151.0 SEK
Current bid or estimate500.0 SEK
Modelled discount38.5%
Liquidity score84%
Daniel Enoksson · Silver and metalware · Stockholms Auktionsverk Sickla
Acquisition position
Potential market value
Evidence strength
Market anomaly
Risk profile
Investigation rationale
Decision guardrails
Visual laboratory
Object record
Höjd ca 75, diameter 70 cm.
Identity resolution
Ranked from independent evidence. Confirmation or rejection becomes controlled training data.
Visual 0% · Name 37% · Marks 25% · Material 40%
25% combined confidenceClosed deal feedback
Enter the verified hammer price after the auction closes. Only verified outcomes become calibration data.
Learning guardrail
Global research evidence
Comparable logic
| Comparable ID | Match | Price | Reasons |
|---|---|---|---|
| 3900 | 53% | 300.0 SEK | identity 59%, material 45%, size 62%, title 51%, hallmarks 45%, weight 62% |
| 7519 | 53% | 800.0 SEK | identity 59%, material 45%, size 62%, title 48%, hallmarks 45%, weight 62% |
| 8316 | 53% | 350.0 SEK | identity 59%, material 45%, size 62%, title 43%, hallmarks 45%, weight 62% |
| 7804 | 53% | 600.0 SEK | identity 60%, material 45%, size 62%, title 36%, hallmarks 45%, weight 62% |
| 13961 | 52% | 4800.0 SEK | identity 58%, material 45%, size 62%, title 40%, hallmarks 45%, weight 62% |
| 2311 | 52% | 8500.0 SEK | identity 57%, material 45%, size 62%, title 44%, hallmarks 45%, weight 62% |
| 891 | 52% | 300.0 SEK | identity 56%, material 45%, size 62%, title 48%, hallmarks 45%, weight 62% |
| 14578 | 52% | 11000.0 SEK | identity 57%, material 45%, size 62%, title 35%, hallmarks 45%, weight 62% |
Automatic signature module
The local engine detects and isolates candidate regions, searches the trusted mark library and runs conservative signature forensics. Optional AI interprets unreadable regions and creates research queries without changing the forensic verdict.
The module runs during normal analysis when a local image is available.
Marks laboratory
110 independent methods generate cleanup variants, stroke and symbol descriptors, library matches, trust controls and conflict warnings.
Signature forensics
This does not declare a signature genuine. It measures fit against a multi-source reference set, confusing signers and natural variation.
Run mark matching first, then compare the questioned signature against a sufficiently broad trusted reference set.