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io.github.RaYYeR220/regimen
io.github.RaYYeR220/regimen · v1.0.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | completions, prompts, resources, tools |
| Tool definitions | 4 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Tells you whether a trading strategy's edge is distinguishable from luck.
Connect
streamable-http · https://regimen-nu.vercel.app/mcp
claude mcp add --transport http regimen https://regimen-nu.vercel.app/mcp{
"mcpServers": {
"regimen": {
"url": "https://regimen-nu.vercel.app/mcp"
}
}
}Tools as reported by the server
regimen_describe_factorsList the market-condition factors Regimen slices performance by, with units, the upstream operation each is read from, and how it is bucketed. Call this when you need to know which factor keys exist or how to explain a bucket to a user. Takes no arguments, reaches no network, never changes.regimen_evaluate_track_recordAnswer whether a trading strategy’s measured performance is distinguishable from luck. Returns the Probabilistic Sharpe Ratio (the probability the true Sharpe beats a benchmark, corrected for sample length, skew and fat tails), a bootstrap confidence interval, and the Minimum Track Record Length — hregimen_regime_mapBreak a strategy’s returns down by the market conditions that held on each date — volatility, funding, open interest, positioning, sentiment, trend state — and report performance per bucket. Each factor also gets a permutation test: the observed best-to-worst spread is compared against spreads produregimen_self_attackRun Regimen’s own analysis against controls whose answer is known in advance: the strategy’s returns with the edge mathematically removed, and a simulated population of strategies with no edge at all. Returns whether the engine correctly found nothing in them, and where the real strategy’s confidenc
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