get_monte_carlo
shallowio.github.haiyunsky/hpsilab-quant-finance-mcp · Verify this server
Monte Carlo price simulation for the next ~10 trading days: thousands of random price paths estimate a likely price range and the odds of finishing higher. Args: ticker: Stock symbol, e.g. "AAPL".
1 trials · measured 8 days ago
get_monte_carlo scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.haiyunsky/hpsilab-quant-finance-mcp, measured 25 Aug 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 + stdio
- Credential class
- self-provisionable
- Category
- Finance & compliance
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 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.
Embed this score
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[](https://vouch.tools/tools/849b0b73-bf06-47d4-94d5-ca619537bc7b)