regimen

io.github.RaYYeR220/regimenVersion 1.0.0

Tells you whether a trading strategy's edge is distinguishable from luck.

Status

Responds173 msNov 14, 2026, 14:41 UTCAnswered our handshake without sign-in.

Registry data may be out of date

We could not refresh it, so this page shows the last copy.

Last checked: Nov 14, 2026, 14:41 UTC
Latency: 173 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://regimen-nu.vercel.app/mcpResponds173 msNov 14, 2026, 14:41 UTC

No sign-in

Claude Code

claude mcp add --transport http regimen https://regimen-nu.vercel.app/mcp

Claude Desktop and claude.ai

1
2
3

Settings > Connectors > Add custom connector
Name: regimen
Remote MCP server URL: https://regimen-nu.vercel.app/mcp

Cursor

{
  "mcpServers": {
    "regimen": {
      "url": "https://regimen-nu.vercel.app/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"regimen","type":"http","url":"https://regimen-nu.vercel.app/mcp"}'

Built your own server? run.zero hosts MCP servers on European infrastructure.

Host your own MCP server on run.zero

Tools

4 tools

Tools of regimen
	Description		Read-only	Idempotent	Open world
`regimen_describe_factors`List 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.	List 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.	No	Yes	Yes	No
`regimen_evaluate_track_record`Answer 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 — how long the record would have to run before the claim could be made at all. Use this whenever someone quotes a Sharpe ratio, a win rate or a return and you need to know whether the number means anything. It will frequently say the evidence is too thin; that is the intended answer, not a failure.	Answer 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 — how long the record would have to run before the claim could be made at all. Use this whenever someone quotes a Sharpe ratio, a win rate or a return and you need to know whether the number means anything. It will frequently say the evidence is too thin; that is the intended answer, not a failure.	No	Yes	No	Yes
`regimen_regime_map`Break 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 produced by randomly reshuffling the regime labels, so a flattering subset cannot pass itself off as a regime effect. Use this after regimen_evaluate_track_record when you need to know WHERE an edge comes from, or whether it is a bet on conditions that could end.	Break 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 produced by randomly reshuffling the regime labels, so a flattering subset cannot pass itself off as a regime effect. Use this after regimen_evaluate_track_record when you need to know WHERE an edge comes from, or whether it is a bet on conditions that could end.	No	Yes	No	Yes
`regimen_self_attack`Run 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 confidence sits among pure-luck strategies of the same length and volatility. Use this when a user is entitled to ask why they should believe the verdict, or before quoting a result as evidence.	Run 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 confidence sits among pure-luck strategies of the same length and volatility. Use this when a user is entitled to ask why they should believe the verdict, or before quoting a result as evidence.	No	Yes	No	Yes

Details

Registry status: Active
Published: Sep 19, 2026
Updated: Sep 19, 2026
Website: https://regimen-nu.vercel.app/⁠ (opens in a new tab)
Repository: https://github.com/RaYYeR220/regimen⁠ (opens in a new tab)
Categories (suggested): Finance and paymentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

Are you the operator? Claim this listing