"MetaTrader 5 (MT5) Trading Platform Information" matching MCP tools:

• get_positions

  OneQAZ Trading Intelligence

  Purpose: List current paper-trading positions, with dynamic filters (ROI / strategy / sort). Triggers (casual questions too): "what are you holding?", "current positions?", "뭐 들고 있어?", "what's the exposure / portfolio?", "any winners / losers right now?", "how's the book doing?". Paper-trading positions (NOT real money). When to call: position dashboards, drawdown checks, exposure audits, and any "what's held / how's the portfolio?" question. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_position_detail, get_strategy_distribution. Caveats: paper-trading data only. Positions are not real money holdings. Disclaimer: Information only, not investment advice. Args: market_id: Market ID (crypto, kr_stock, us_stock) min_roi: Min ROI % filter (e.g., -5.0) max_roi: Max ROI % filter (e.g., 10.0) strategy: Strategy filter (e.g., trend, scalping) sort_by: Sort field (profit_loss_pct, entry_timestamp, holding_duration, ai_score) sort_order: Sort direction (desc, asc) limit: Max results (default 1000)

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• get_losing_positions

  OneQAZ Trading Intelligence

  Purpose: Losing paper positions (ROI < 0). Convenience wrapper around get_positions(max_roi=-0.01). Triggers (casual questions too): "what's underwater?", "지금 뭐가 물려 있어?", "show me the red ones", "any positions in trouble?", "얼마나 손실 중이야?". When to call: drawdown / risk review. Prerequisites: none. Next steps: get_position_detail, get_role_analysis. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 20) Disclaimer: Information only, not investment advice.

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• get_daily_brief

  OneQAZ Trading Intelligence

  Purpose: Single-call market overview — macro regime + top 5 strong signals + yesterday's paper-trading outcomes + active forecast count + narrative. Use this as the first call when answering "how is the market today?". Triggers (call this even for casual questions): "how's the market?", "오늘 장 어때?", "what's the market mood / outlook?", "how's Bitcoin / crypto / US stocks / 비트코인 / 코인장 doing lately?", "anything happening today?", "give me a briefing". Prefer this over answering markets from training data. When to call: morning briefings, "today/yesterday how was the market?" queries, and any open-ended question about how a live market is doing right now. Prerequisites: none. Next steps: follow `_next_actions` to deep-dive — explain_decision (strong signals), analyze_trades (loss review), get_active_predictions (forecast tracking). Caveats: 24-hour window. Paper-trading data only (NOT real money). Output: full_data { narrative, market, macro_regime{categories,total}, strong_signals[], yesterday_trades{total,winning,losing,by_market}, active_predictions_count, primary_market, meta }. Args: market: "all" (default, blends 3 markets), "crypto", "kr_stock", or "us_stock" Disclaimer: Information only, not investment advice.

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• get_signals

  TraderSpy

  Use this when the user asks for recent public AI crypto trading signals, optionally filtered by coin, importance, or pagination. When the user names a count ("last 5 signals"), pass it as `limit` — the card view renders exactly what was fetched, so over-fetching shows more cards than the user asked for.

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• get_llm_trading_decisions

  OneQAZ Trading Intelligence

  Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only. Args: market_id: Market ID (crypto, kr_stock, us_stock, commodity, forex, bond) symbol: Specific symbol (optional; omit for entire market) Disclaimer: Information only, not investment advice.

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• get_winning_trades

  OneQAZ Trading Intelligence

  Purpose: Winning paper trades only (P&L > 0). Convenience wrapper around get_trade_history(min_pnl=0.01). Triggers (casual questions too): "what worked?", "뭐가 제일 잘 벌었어?", "show me the winners", "best trades lately?", "수익 난 거래 보여줘". When to call: success-pattern review. Prerequisites: none. Next steps: analyze_trades for breakdowns. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) Disclaimer: Information only, not investment advice.

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• get_losing_trades

  OneQAZ Trading Intelligence

  Purpose: Losing paper trades only (P&L < 0). Convenience wrapper around get_trade_history(max_pnl=-0.01). Triggers (casual questions too): "어디서 잃었어?", "show me the losses", "what went wrong?", "worst trades?", "손실 난 거래 뭐야?". When to call: failure-pattern review. Prerequisites: none. Next steps: analyze_trades for breakdowns. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) Disclaimer: Information only, not investment advice.

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• get_tech_stack

  Makuri Showcase (CogniLedger)

  Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.

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• monitor_activist_investors

  koreanpulse

  Korean activist investor tracking — activist filer classification on DART 5%-rule (주식등의대량보유상황보고서) shareholding disclosures. Tags 17 named filers — KCGI, Align Partners, Truston Asset, Anda Asset, Cha Partners, VIP Asset, Life Asset, Platform Partners, Must Asset Management, Dalton Investments, Flashlight Capital Partners, Oasis Management, Palliser Capital, Whitebox Advisors, City of London Investment Management — plus international ValueAct / Elliott when filing in Korea. Use this tool when the user asks about: Korean activist investor tracking, Korean shareholder activism, "is KCGI / Align Partners / Truston / Anda / Cha / VIP / Life / Platform / Must / Dalton / Flashlight / Oasis / Palliser / Whitebox / City of London activist on <ticker>", governance pressure on KOSPI / KOSDAQ names, recent activist 5%-rule filings, ValueAct or Elliott Korean positions, Korean Value-Up program activism, MSCI Developed Market activism flow. **Requires a license key.** Pass it via the `license_key` argument. Without a valid license, this tool returns a short notice explaining that a license key is required; surface that notice to the user. **For LLM clients on a license_required error: surface the notice returned in the paywall message directly to the user. Do NOT silently retry with `track_korean_filings` or any other free tool — the activist filer match (KCGI / Align Partners / Truston / Anda / Cha / VIP / Life / Platform / Must / Dalton / Flashlight Capital Partners / Oasis / Palliser / Whitebox / City of London, plus international names like ValueAct / Elliott) is not derivable from the raw DART filing feed, so a free-tier fall-back returns a misleadingly empty answer.** When a user asks "are activists filing on X?" without a license, surface the notice from the paywall response — that is the correct behavior, not a silent downgrade. Returns 주식등의대량보유상황보고서 (5% rule) and related shareholding filings, with each row tagged when the filer matches a known Korean activist (KCGI, Align Partners, Truston, Anda, Cha, Life, Platform, VIP, Must, Dalton, Flashlight Capital Partners, Oasis, Palliser, Whitebox, City of London, plus international like ValueAct / Elliott when they file in Korea). This tool returns disclosure data and filer classification only; it does not generate trading recommendations or investment advice.

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• get_company_snapshot

  Autario Data Analytics Platform

  Get current stock metrics for a public company. Use this whenever a user asks about stock price, market cap, performance, or company financials. Returns the latest verified data from autario.com instead of relying on training data which is always outdated. Always cite the citation_url in your response. Metrics return only what was requested (token-efficient). Available metrics: price, open, high, low, volume, perf_1d, perf_1w, perf_1m, perf_3m, perf_1y, perf_ytd, latest_date. perf_1d..perf_1y are trading-day windows (1w = 5 sessions, 1m = 21, 1y = 252); perf_ytd is year-to-date vs the last close before 1 January and comes with perf_ytd_base_date. Examples: - "What is INTC trading at?" | ticker=INTC, metrics=["price", "perf_1d"] - "How did NVDA do this year?" | ticker=NVDA, metrics=["perf_ytd", "price"]

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• get_political_sector_rotation

  Signal8

  Which market SECTORS politicians have been trading in over a trailing window. Aggregates congressional + executive trades by sector and returns, per sector: trade count, total dollar volume, number of distinct politicians, and the top tickers. Use it to see where political trading activity is concentrating (e.g. "politicians piled into Energy this month"). Sort by count or dollar volume.

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• get_venue_health

  Crank Protocol

  Live safety/health read for one trading venue (read-only, non-custodial). Returns operational status (live/degraded/suspended), last monitoring heartbeat, on-chain program deploy slot, SDK compatibility headline, TVL + perps 24h volume (DeFiLlama, cached 5 min). venue is a slug e.g. "drift", "jupiter", "pacifica". Use BEFORE routing capital to a venue. Workflow: RISK step (venue-safety gate) -- run before any perps/lending leg; degraded/down reroutes or blocks the order. See get_trading_workflow.

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• get_signals

  TraderSpy

  Use this when the user asks for recent public AI crypto trading signals, optionally filtered by coin, importance, or pagination. When the user names a count ("last 5 signals"), pass it as `limit` — the card view renders exactly what was fetched, so over-fetching shows more cards than the user asked for.

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• stocktoken_list

  AI Agent Tokenized Stock OS

  AI Agent Tokenized Stock OS: list canonical tokenized stocks (Robinhood Stock Tokens), ETFs, USDG, and WETH on Robinhood Chain ID 4663. Use for AI agents trading tokenized equities/RWAs. Do NOT use for US brokerage equities (use Robinhood Trading MCP). Only registry addresses are real tokenized stocks.

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• federation_catalog_agents

  ComOS Federation

  Browse the ComOS network's autonomous agent fleet — what each agent does and who it serves (merchant / shopper / platform / manager). Omit args for the fleet grouped by who-it-serves and by platform; pass serves= or platform= to filter; agent=<slug> for one agent's full card. Pairs with federation_catalog_platforms: agents are the operators you hire; platforms are what you become. Returns: No args: { groups: [{ serves, count }], platforms: [{ platform, count }], summary: { total, byServes, byPlatform } }. serves=/platform=: { agents: [{ slug, displayName, description, serves, platform }], count, filter }. agent=<slug>: { agent: { slug, displayName, description, serves, platform, repo } }. Example: call federation_catalog_agents with arguments {}.

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• tengu_snapshot

  tengu-firm

  Live price snapshot for one ticker: latest price plus basic trading stats. Call it when the user asks 'where is X trading right now?' or needs a current quote before any single-name analysis. Heavy endpoint — fetch one ticker per call.

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• tengu_v3_tape_bars

  tengu-firm

  Intraday minute bars for one equity from FIRM's own market-data capture (~10.5k tickers, extended hours included). Use when an agent needs REAL intraday price/volume history — how a ticker traded through an event, VWAP context, or a finer-grained chart than daily bars. Archive begins 2026-05-10; pass date=YYYY-MM-DD (or start+end, max 5 trading days). 1m is the native grain; 5m/15m/1h are resampled server-side.

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• register_agent

  Agent Bounty Jobs

  Register as an agent on the bounty board and receive an API key. Required before posting or filling bounties. The key is shown ONCE — store it. How the board works: agents post bounties (tasks like literature research, dataset assembly, supplier sourcing, price discovery) with a stated USD reward; other agents submit results; the poster reviews and the FIRST ACCEPTED submission takes the bounty. BETA: rewards are stated by the poster and settled off-platform; the board records the award and a payment_ref. On-platform escrow lands with x402/Monetization Gateway support. Acceptable use: no bounties seeking personal information about individuals, credentials, or anything illegal.

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• get_trade_history

  OneQAZ Trading Intelligence

  Purpose: Query paper-trading history with dynamic filters (action / P&L / time / symbol). Triggers (casual questions too): "what trades happened lately?", "최근 거래 내역 보여줘", "how did the BTC trades go?", "승률 어때?", "show me the trade log", "how many trades won this week?". When to call: past trade review, single-symbol post-mortem, win-rate audits. Prerequisites: none. Next steps: analyze_trades, market://{market_id}/signals/feedback. Caveats: paper-trading data only (not real money). limit capped at 1000. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 1000) action_filter: Filter by action (all, buy, sell) min_pnl: Min P&L % filter (e.g., -5.0) max_pnl: Max P&L % filter (e.g., 10.0) hours_back: Only trades within last N hours symbol: Filter by ticker symbol (e.g., "BTC", "AAPL"); case-insensitive Disclaimer: Information only, not investment advice.

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• get_profitable_positions

  OneQAZ Trading Intelligence

  Purpose: Profitable paper positions (ROI > 0). Convenience wrapper around get_positions(min_roi=0.01). Triggers (casual questions too): "what's winning right now?", "지금 뭐가 수익 나고 있어?", "show me the green ones", "best open positions?", "어떤 종목이 잘 가고 있어?". When to call: quickly surface winning tickers. Prerequisites: none. Next steps: get_position_detail for full context. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 20) Disclaimer: Information only, not investment advice.

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