short_squeeze_candidates
shallowio.github.morvs-ai/morvs · Verify this server
Top short-squeeze candidates by a MORVS (AI Analytics LLC) 0-100 pressure score combining FINRA days-to-cover + short-sale volume % + SEC fails-to-deliver per symbol. The methodology is separate from and does not relicense FINRA inputs. Transparent heuristic, not investment advice. FINRA source terms: https://www.finra.org/terms-of-use. Optional min_score filter.
1 trials · measured 1 day ago
short_squeeze_candidates scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.morvs-ai/morvs, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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