ai.marketcrew/market-data

Est-ce que ai.marketcrew/market-data est sûr ?

Au dernier audit MCP Hub, le serveur MCP « ai.marketcrew/market-data » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 15 outils

• get_crypto_context≈ 247 tokens

  Crypto market context for a technical read: BTC/ETH dominance and total/alt market cap, Fear & Greed sentiment, perp funding rate & open interest (positioning/leverage), and the Stablecoin Supply Ratio (dry powder). Use ONLY when analysing crypto assets (BTC, ETH, crypto ETFs). Background context, not the primary signal.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_crypto_context", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"date": "texte", "sources": {}, "etf_flows": {}, "liquidity": {}, "sentiment": {}, "positioning": {}, "market_structure": {}}}

• get_event_stats≈ 247 tokens

  Historical base rates for the technical events firing on a ticker today (e.g. RSI below 30, golden/death cross, new 52-week high/low). For each active event: the forward returns (1w/1m/3m/6m/1y) seen historically after similar events across the US universe, with the sample size and an unconditional baseline to compare against. Answers 'what usually happened after this'; small samples warrant caution.

  Paramètres, retour & exemple (1)

  Paramètres

  • ticker · string · requis
    Ticker symbol, e.g. 'SPY'

  Exemple d'appel

  {"name": "get_event_stats", "arguments": {"ticker": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"note": "texte", "ticker": "texte", "active_events": []}}

• get_instrument_info≈ 468 tokens

  Current snapshot of one instrument: price and recent changes, session state (regular, pre-market, after-hours, closed), 52-week range, and market cap, sector and next earnings date where they apply. Covers the S&P 500, the Nasdaq-100 and popular US ETFs, major cryptocurrencies and the Cboe Volatility Index; crypto uses the -USD pair form (BTC-USD, ETH-USD), the VIX is ^VIX. Forex pairs, futures, options, other indices and non-US listings are not covered. Pass a ticker such as 'AAPL', 'SPY', 'BTC-USD' or '^VIX'.

  Paramètres, retour & exemple (2)

  Paramètres

  • ticker · string · optionnel
    Ticker symbol, e.g. 'AAPL'
  • instrument_id · string · optionnel
    UUID of the financial instrument

  Exemple d'appel

  {"name": "get_instrument_info", "arguments": {"ticker": "texte", "instrument_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"type": "texte", "sector": "texte", "ticker": "texte", "currency": "texte", "industry": "texte", "full_name": "texte", "market_cap": 1, "market_state": "texte", "session_note": "texte", "current_price": 1, "instrument_id": "texte", "price_changes": {}}}

• get_intermarket≈ 324 tokens

  Intermarket compass — a first-pass read of the market environment through price-ratio lenses: asset-class rotation (bonds vs stocks, commodities), risk appetite (high-yield vs investment-grade credit, small vs large caps, cyclicals vs defensives), defensive flows (gold, utilities, yield-curve proxy) and the dollar. Each lens reports rising/falling vs its 50-day average plus the 20-day change; overall posture is risk_on, risk_off or mixed. Optional focus= ('gold'|'bonds'|'tech'|'commodities'|'equity'|'crypto') adds lenses specific to that asset class.

  Paramètres, retour & exemple (1)

  Paramètres

  • focus · string · optionnel · gold | bonds | tech | commodities | equity | crypto
    Asset class being analysed — adds its specific lenses

  Exemple d'appel

  {"name": "get_intermarket", "arguments": {"focus": "gold"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"note": "texte", "focus": {}, "votes": {}, "overall": "texte", "questions": []}}

• get_key_levels≈ 267 tokens

  Compute key price levels for a ticker: support/resistance zones (clustered swing highs/lows with touch counts = how often price reacted there), nearby round numbers, 50/200-day moving averages, and the 52-week high/low. Returns nearest levels above (resistance) and below (support) with distance %. Use these for concrete trigger/target/invalidation levels.

  Paramètres, retour & exemple (1)

  Paramètres

  • ticker · string · requis
    Ticker symbol, e.g. 'SPY'

  Exemple d'appel

  {"name": "get_key_levels", "arguments": {"ticker": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"date": "texte", "note": "texte", "close": 1, "ticker": "texte", "support": [], "resistance": []}}

• get_macro_context≈ 158 tokens

  Get macro market context: sector P/E ratios, sector performance, US Treasury rates (2Y/10Y/30Y), CPI inflation data. Also provides key inter-market ratios (HYG/LQD, TLT/SPY) from our price data.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_macro_context", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"date": "texte", "inter_market_ratios": {}}}

• get_market_breadth≈ 182 tokens

  S&P 500 market breadth: the percentage of index members above their 50-day and 200-day moving averages, with RSI, trend and 52-week range for each breadth series. A gauge of how broad the current advance or decline is.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_market_breadth", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"date": "texte", "pct_above_50d_ma": {}, "pct_above_200d_ma": {}}}

• get_monitoring_options≈ 244 tokens

  Returns available options for ongoing monitoring — price alerts, idea tracking, watchlist monitoring, scheduled digests — with setup instructions and channels (email/Telegram). Call only when the user asks for ongoing monitoring or notifications; never needed to answer a question.

  Paramètres, retour & exemple (1)

  Paramètres

  • intent · string · optionnel · alert | track_idea | watchlist | digest | memory
    Which monitoring the user asked for.

  Exemple d'appel

  {"name": "get_monitoring_options", "arguments": {"intent": "alert"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"intent": "texte", "message": "texte", "channels": [], "register_url": "texte"}}

• get_price_history≈ 337 tokens

  Get daily OHLCV price history for a ticker: open/high/low/close/volume. Use period_days to control how far back (default 365, max 3650).

  Paramètres, retour & exemple (5)

  Paramètres

  • bars · integer · optionnel
    how many recent sessions to return when no window is given (default 20, max 120)
  • ticker · string · requis
    Ticker symbol, e.g. 'SPY', 'GDX', 'AAPL'
  • to_date · string · optionnel
    end of the window to quote, YYYY-MM-DD
  • from_date · string · optionnel
    start of the window to quote, YYYY-MM-DD
  • period_days · integer · optionnel
    Number of days of history (default 365, max 3650)

  Exemple d'appel

  {"name": "get_price_history", "arguments": {"ticker": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"ticker": "texte", "current": {}, "date_range": {}, "total_bars": 1, "instrument_id": "texte", "recent_prices": [], "period_return_pct": 1}}

• get_relative_strength≈ 348 tokens

  Relative strength of one ticker against another as a price ratio A/B (e.g. GDX/GLD, HYG/LQD, XLK/SPY, NVDA/SPY): how far the ratio sits above or below its 50- and 200-day averages, the ratio's RSI and trend, recent values, and a one-line verdict on which side is leading.

  Paramètres, retour & exemple (3)

  Paramètres

  • ticker_a · string · requis
    Numerator ticker, e.g. 'GDX'
  • ticker_b · string · requis
    Denominator ticker, e.g. 'GLD'
  • period_days · integer · optionnel
    Days of history (default 365, max 1825)

  Exemple d'appel

  {"name": "get_relative_strength", "arguments": {"ticker_a": "texte", "ticker_b": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"pair": "texte", "trend": "texte", "signals": {}, "data_points": 1, "ratio_sma50": 1, "ratio_rsi_14": 1, "ratio_sma200": 1, "current_ratio": 1, "recent_values": [], "period_change_pct": 1}}

• get_sentiment_data≈ 217 tokens

  Market sentiment: the VIX level with its 1-day, 5-day and 1-month change and 52-week range, and Cboe's daily put/call ratios for all products, equities, indices, SPX and VIX options with the underlying call and put volumes. Flags a contrarian extreme when the equity put/call ratio or the VIX sits at one.

  Paramètres, retour & exemple (1)

  Paramètres

  • type · string · optionnel · all | put_call | vix
    Which data: 'all' (default), 'put_call' or 'vix'.

  Exemple d'appel

  {"name": "get_sentiment_data", "arguments": {"type": "all"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"date": "texte", "put_call": {}}}

• get_ta_methodology≈ 234 tokens

  Look up MarketCrew's distilled technical-analysis methodology — our own synthesized notes on how to read indicators, structure, levels and regime — to ground an answer in a consistent framework. Returns short passages in our words with relevance scores.

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · requis
    What you want the methodology on, e.g. 'reading RSI in a trend'
  • top_k · integer · optionnel
    How many passages to return (default 6)

  Exemple d'appel

  {"name": "get_ta_methodology", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": "texte", "message": "texte"}}

• get_technical_indicators≈ 264 tokens

  Calculate technical indicators for a ticker: SMA(50/200), RSI(14), MACD, ATR(14), ADX(14) trend strength, Stochastic(14,3), volume (OBV trend + volume vs 20-day average), RSI/price divergence, Golden/Death Cross, and RSI regime. Computed from daily price history.

  Paramètres, retour & exemple (1)

  Paramètres

  • ticker · string · requis
    Ticker symbol, e.g. 'SPY'

  Exemple d'appel

  {"name": "get_technical_indicators", "arguments": {"ticker": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"date": "texte", "close": 1, "ticker": "texte", "weekly": {}, "signals": {}, "position": {}, "range_52w": {}, "indicators": {}}}

• public_instrument_news≈ 228 tokens

  Latest news for a ticker — headline, a short summary and a mandatory source_url to the original article (never the full third-party text). Use to ground a market read in recent, attributable news.

  Paramètres, retour & exemple (3)

  Paramètres

  • limit · integer · optionnel
    Max articles to return (default 30, max 60)
  • ticker · string · requis
    Ticker symbol, e.g. 'NBIS', 'AAPL', 'GDX'
  • days_back · integer · optionnel
    How many days back to fetch (default 30, max 90)

  Exemple d'appel

  {"name": "public_instrument_news", "arguments": {"ticker": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"results": []}}

• public_search_news≈ 259 tokens

  Semantic news search across tracked instruments — returns matching items with a short summary and a mandatory source_url (never full article text).

  Paramètres, retour & exemple (4)

  Paramètres

  • limit · integer · optionnel
    Max results to return (default 10, max 20)
  • query · string · requis
    Natural language search query describing ONE semantic angle, e.g. 'Nebius Meta deal contract $27 billion compute capacity'
  • days_back · integer · optionnel
    How many days back to search (default 30, max 90)
  • min_similarity · number · optionnel
    Minimum similarity threshold 0.0-1.0 (default 0.40)

  Exemple d'appel

  {"name": "public_search_news", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"results": []}}

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Source

https://marketcrew.ai/mcp