io.github.wnsod/oneqaz-trading-mcp

up checked 2026-11-11T06:38:40.610Z

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Publisher-provided title

OneQAZ Trading Intelligence

Publisher-provided description

Verifiable crypto/KR/US market intelligence for AI agents: signals, hash-chained ledger. Not advice.

Summary by lookupd

Lets agents query market signals, macro and sector context, news tags, and a hash-chained prediction ledger for crypto, KR and US assets.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http oneqaz-trading https://api.oneqaz.com/mcp

Claude Code, pypi package (stdio)

claude mcp add oneqaz-trading -- uvx oneqaz-trading-mcp

Codex, remote (streamable-http)

codex mcp add oneqaz-trading --url https://api.oneqaz.com/mcp

Codex, pypi package (stdio)

codex mcp add oneqaz-trading -- uvx oneqaz-trading-mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "oneqaz-trading": {
      "url": "https://api.oneqaz.com/mcp"
    }
  }
}

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "oneqaz-trading": {
      "command": "uvx",
      "args": [
        "oneqaz-trading-mcp"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (21 tools)

Publisher-provided text

• get_system_card Purpose: Start here. One-page card for an agent meeting OneQAZ for the first time: what it is (public beta, operated by an individual, SLA: none), coverage
• get_daily_brief Purpose: Single-call market overview — engine macro regime + score-ranked example signals + score-sign breadth + yesterday's paper-trading outcomes + active
• search Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest score-ranked combined signals across cryp
• fetch Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to
• get_symbol_context Use when the question is about one stock or coin — its current signal state, the OneQAZ structure group it belongs to, and which assets have tracked lead-lag li
• get_group_context Use when the question is about a sector, theme, ETF basket or index basket — its structure state and its members. Returns headline claims, the group's regime st
• get_market_context Use when the question is about a whole market (KR, US, CRYPTO) — its structure regime and how its groups are positioned. Returns headline claims, the market's s
• get_macro_context Use when the question is about a macro factor — rates and bonds, the dollar and FX, VIX, credit, liquidity, inflation, commodities or energy — and which markets
• get_news_context Use when the question is about a specific news item or a news keyword or event (FOMC, 반도체, tariff) — which markets, symbols and topics it is tagged with. Return
• get_signals Purpose: Query signals with dynamic filters (symbol / interval / action / score / confidence). Triggers (casual questions too): "what's the signal for BTC / AAP
• explain_decision Call this when the user asks why a symbol's signal reads the way it does — a structured, multi-layer "why" for one symbol; include=["history","feedback","ro
• get_performance_metrics Purpose: Portfolio-level performance metrics (MDD / Sharpe / Sortino / Calmar / monthly returns / equity curve) over a FIXED window — the single canonical
• get_account_status Purpose: Show which OneQAZ account (or API key) this connection uses, its plan and its rate limits. Requires a connected OneQAZ account — calling it without
• get_prediction_accuracy Call this first when judging how OneQAZ's macro calls have held up — per-cell hit rates with honest baselines; granularity="monthly" for the month-by-month
• get_active_predictions Purpose: Currently pending predictions (outcome IS NULL). Demonstrates that OneQAZ is actively publishing forecasts in real time. Combined with get_predicti
• get_resolved_predictions Purpose: Raw, row-level prediction ledger — every macro regime prediction's full lifecycle (created_at -> resolved_at -> outcome). This is the auditable evi
• get_ledger_integrity Purpose: Tamper-evidence for the prediction ledger — a daily SHA-256 hash chain over all created/resolved prediction rows, with the exact canonical recipe
• get_signal_calibration Purpose: Reliability diagram data for Level-1 signal confidence — realized hit rate per confidence bucket ([0.5,0.6) ... [0.9,1.0]) with ECE summary. Le
• get_structure_calibration Call this to see how well sector / ETF-basket direction calls held up against a majority-class baseline; include_history=True adds the day-by-day validation
• get_strategy_leaderboard Purpose: Top RL-learned research strategies — GLOBAL pool + per-symbol partition. Layer E evidence (Layer E = strategy-performance tier of the 5-layer trust
• get_trade_history Call this to check how the paper-trading book's closed trades actually turned out — realized P&L per trade with action / P&L / time / symbol filters, and ou

Details

• Version: 1.3.0
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 1766 ms
• First indexed: 2026-11-01T10:00:13.592Z
• Last seen in registry: 2026-11-01T10:00:13.656Z
• Repository: https://github.com/oneqaz-trading/oneqaz-trading-mcp
• Website: https://oneqaz.com

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