Is a trading strategy's track record luck? Free luck check, plus what a full strategy audit checks.
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
Scored across 2 tools
The two tools serve entirely distinct purposes: one explains the audit service (how it works, pricing, etc.) while the other performs a specific statistical test on a strategy's track record. No ambiguity in selection.
Both tool names follow a clear verb_noun pattern (explain_audit, luck_check), with consistent lowercase and underscore separation. The naming clearly indicates the action and target.
With only two tools, the server feels minimal. While the scope is narrow (auditing trading strategies), the count is borderline—one core function plus a documentation tool is thin, but not entirely unreasonable for a niche service.
The domain implies a full audit service, but the tool surface only provides a description and a rough luck check. There is no tool to actually run the complete audit, upload data, or access detailed reports, leaving significant gaps that would prevent an agent from completing the core workflow.
Describes a full Autrady audit of a strategy's actual signals: what to upload, how it works, the five questions it answers with what each caught in Autrady's own research, the price, the free trial and where to start. Use it when someone asks how to test a bot, a newsletter or a backtest properly, what Autrady does, or what it costs.
Inputs: no named parameters.
Tests whether a trading strategy's claimed track record could be luck. Returns how often the best of that many strategies with no edge at all would look this good, the record's t-statistic against the bar for that many tries, and how many months a real edge of this size needs to clear the bar with 80% probability. A rough check: it assumes independent months and ignores costs, so a real audit of the signals usually looks worse.
Inputs: months (required), monthlySwingPercent (required), averageMonthlyReturnPercent (required), versionsTried.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Tells you whether a trading strategy's edge is distinguishable from luck.
Checks crypto trading claims on real data: leverage, drawdown, stop-loss, seasonality, luck.
Grade a track record before risking capital: REAL_EDGE/REGIME_LUCK/NEGATIVE_EV. Fail-closed.
Praxis: published trading strategies re-run and audited — verdicts, claimed vs measured stats.
Add one secure layer between your agents and this server.
