此 MCP 可以做什么
Provides read-only live market data and technical analysis for US stocks, ETFs, and crypto assets.
功能
工具
15
工具
get_crypto_context
Crypto market context
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.
只读
幂等
输入模式
{'type': 'object', 'properties': {}}
输出模式
{'type': 'object', 'properties': {'date': {'type': 'string'}, 'sources': {'type': 'object'}, 'etf_flows': {'type': 'object'}, 'liquidity': {'type': 'object'}, 'sentiment': {'type': 'object'}, 'positioning': {'type': 'object'}, 'market_structure': {'type': 'object'}}, 'additionalProperties': True}
get_event_stats
Event base rates
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': "Ticker symbol, e.g. 'SPY'"}}}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'ticker': {'type': 'string'}, 'active_events': {'type': 'array', 'items': {}}}, 'additionalProperties': True}
get_instrument_info
Instrument info
Get current information about a financial instrument: price, price changes, market state, 52-week range, earnings date. Provide either instrument_id (UUID) or ticker (e.g. 'AAPL').
只读
幂等
输入模式
{'type': 'object', 'properties': {'ticker': {'type': 'string', 'description': "Ticker symbol, e.g. 'AAPL'"}, 'instrument_id': {'type': 'string', 'description': 'UUID of the financial instrument'}}}
输出模式
{'type': 'object', 'properties': {'type': {'type': 'string'}, 'sector': {'type': 'string'}, 'ticker': {'type': 'string'}, 'currency': {'type': 'string'}, 'industry': {'type': 'string'}, 'full_name': {'type': 'string'}, 'market_cap': {'type': 'number'}, 'market_state': {'type': 'string'}, 'session_note': {'type': 'string'}, 'current_price': {'type': 'number'}, 'instrument_id': {'type': 'string'}, 'price_changes': {'type': 'object'}, 'price_updated_at': {'type': 'string'}, 'fifty_two_week_low': {'type': 'number'}, 'next_earnings_date': {'type': 'string'}, 'fifty_two_week_high': {'type': 'number'}, 'extended_hours_price': {'type': 'number'}, 'extended_hours_change_pct': {'type': 'number'}}, 'additionalProperties': True}
get_intermarket
Intermarket compass
Intermarket compass â 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.
只读
幂等
输入模式
{'type': 'object', 'properties': {'focus': {'enum': ['gold', 'bonds', 'tech', 'commodities', 'equity', 'crypto'], 'type': 'string', 'description': 'Asset class being analysed â\x80\x94 adds its specific lenses'}}}
输出模式
{'type': 'object', 'properties': {'note': {'type': 'string'}, 'focus': {'type': 'object'}, 'votes': {'type': 'object'}, 'overall': {'type': 'string'}, 'questions': {'type': 'array', 'items': {}}}, 'additionalProperties': True}
get_key_levels
Key price levels
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': "Ticker symbol, e.g. 'SPY'"}}}
输出模式
{'type': 'object', 'properties': {'date': {'type': 'string'}, 'note': {'type': 'string'}, 'close': {'type': 'number'}, 'ticker': {'type': 'string'}, 'support': {'type': 'array', 'items': {}}, 'resistance': {'type': 'array', 'items': {}}}, 'additionalProperties': True}
get_macro_context
Macro context
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.
只读
幂等
输入模式
{'type': 'object', 'properties': {}}
输出模式
{'type': 'object', 'properties': {'date': {'type': 'string'}, 'inter_market_ratios': {'type': 'object'}}, 'additionalProperties': True}
get_market_breadth
Market breadth (S&P 500)
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.
只读
幂等
输入模式
{'type': 'object', 'properties': {}}
输出模式
{'type': 'object', 'properties': {'date': {'type': 'string'}, 'pct_above_50d_ma': {'type': 'object'}, 'pct_above_200d_ma': {'type': 'object'}}, 'additionalProperties': True}
get_monitoring_options
Monitoring options
Returns available options for ongoing monitoring â price alerts, idea tracking, watchlist monitoring, scheduled digests â with setup instructions and channels (email/Telegram). Call only when the user asks for ongoing monitoring or notifications; never needed to answer a question.
只读
幂等
输入模式
{'type': 'object', 'properties': {'intent': {'enum': ['alert', 'track_idea', 'watchlist', 'digest', 'memory'], 'type': 'string', 'description': 'Which monitoring the user asked for.'}}}
输出模式
{'type': 'object', 'properties': {'intent': {'type': 'string'}, 'message': {'type': 'string'}, 'channels': {'type': 'array', 'items': {}}, 'register_url': {'type': 'string'}}, 'additionalProperties': True}
get_price_history
Price history (OHLCV)
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).
只读
幂等
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'bars': {'type': 'integer', 'description': 'how many recent sessions to return when no window is given (default 20, max 120)'}, 'ticker': {'type': 'string', 'description': "Ticker symbol, e.g. 'SPY', 'GDX', 'AAPL'"}, 'to_date': {'type': 'string', 'description': 'end of the window to quote, YYYY-MM-DD'}, 'from_date': {'type': 'string', 'description': 'start of the window to quote, YYYY-MM-DD'}, 'period_days': {'type': 'integer', 'description': 'Number of days of history (default 365, max 3650)'}}}
输出模式
{'type': 'object', 'properties': {'ticker': {'type': 'string'}, 'current': {'type': 'object'}, 'date_range': {'type': 'object'}, 'total_bars': {'type': 'number'}, 'instrument_id': {'type': 'string'}, 'recent_prices': {'type': 'array', 'items': {}}, 'period_return_pct': {'type': 'number'}}, 'additionalProperties': True}
get_relative_strength
Relative strength (A/B)
Calculate relative strength ratio between two tickers (A/B). Returns verdict_ru and vs_sma50_pct â USE THOSE in your reply. The bare pair («0.2613 пÑоÑив Ñвоей 50-дневной 0.2840») is unreadable: the level depends only on the price scales, so quote the DISTANCE in percent and what it means, and give the raw numbers only if the client asks for them. Also returns SMA(50)/SMA(200) of ratio, RSI of ratio, trend direction. Used for inter-market analysis: e.g. GDX/GLD, HYG/LQD, XLK/SPY.
只读
幂等
输入模式
{'type': 'object', 'required': ['ticker_a', 'ticker_b'], 'properties': {'ticker_a': {'type': 'string', 'description': "Numerator ticker, e.g. 'GDX'"}, 'ticker_b': {'type': 'string', 'description': "Denominator ticker, e.g. 'GLD'"}, 'period_days': {'type': 'integer', 'description': 'Days of history (default 365, max 1825)'}}}
输出模式
{'type': 'object', 'properties': {'pair': {'type': 'string'}, 'trend': {'type': 'string'}, 'signals': {'type': 'object'}, 'data_points': {'type': 'number'}, 'ratio_sma50': {'type': 'number'}, 'ratio_rsi_14': {'type': 'number'}, 'ratio_sma200': {'type': 'number'}, 'current_ratio': {'type': 'number'}, 'recent_values': {'type': 'array', 'items': {}}, 'period_change_pct': {'type': 'number'}}, 'additionalProperties': True}
get_sentiment_data
Market sentiment
Get market sentiment indicators: CBOE Put/Call ratios (total, equity, index, VIX), AAII investor sentiment survey (bull/bear/neutral %), and VIX level. Useful for contrarian signals at extremes.
只读
幂等
输入模式
{'type': 'object', 'properties': {'type': {'enum': ['all', 'put_call', 'vix'], 'type': 'string', 'description': "Which data: 'all' (default), 'put_call', 'vix'"}}}
输出模式
{'type': 'object', 'properties': {'date': {'type': 'string'}, 'put_call': {'type': 'object'}}, 'additionalProperties': True}
get_ta_methodology
Technical analysis methodology
Look up MarketCrew's distilled technical-analysis methodology â our own synthesized notes on how to read indicators, structure, levels and regime â to ground an answer in a consistent framework. Returns short passages in our words with relevance scores.
只读
幂等
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': "What you want the methodology on, e.g. 'reading RSI in a trend'"}, 'top_k': {'type': 'integer', 'description': 'How many passages to return (default 6)'}}}
输出模式
{'type': 'object', 'properties': {'error': {'type': 'string'}, 'message': {'type': 'string'}}, 'additionalProperties': True}
get_technical_indicators
Technical indicators
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.
只读
幂等
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'description': "Ticker symbol, e.g. 'SPY'"}}}
输出模式
{'type': 'object', 'properties': {'date': {'type': 'string'}, 'close': {'type': 'number'}, 'ticker': {'type': 'string'}, 'weekly': {'type': 'object'}, 'signals': {'type': 'object'}, 'position': {'type': 'object'}, 'range_52w': {'type': 'object'}, 'indicators': {'type': 'object'}}, 'additionalProperties': True}
public_instrument_news
Instrument news
Latest news for a ticker â 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.
只读
幂等
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'limit': {'type': 'integer', 'description': 'Max articles to return (default 30, max 60)'}, 'ticker': {'type': 'string', 'description': "Ticker symbol, e.g. 'NBIS', 'AAPL', 'GDX'"}, 'days_back': {'type': 'integer', 'description': 'How many days back to fetch (default 30, max 90)'}}}
输出模式
{'type': 'object', 'properties': {'results': {'type': 'array', 'items': {}}}, 'additionalProperties': True}
public_search_news
News search
Semantic news search across tracked instruments â returns matching items with a short summary and a mandatory source_url (never full article text).
只读
幂等
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'description': 'Max results to return (default 10, max 20)'}, 'query': {'type': 'string', 'description': "Natural language search query describing ONE semantic angle, e.g. 'Nebius Meta deal contract $27 billion compute capacity'"}, 'days_back': {'type': 'integer', 'description': 'How many days back to search (default 30, max 90)'}, 'min_similarity': {'type': 'number', 'description': 'Minimum similarity threshold 0.0-1.0 (default 0.40)'}}}
输出模式
{'type': 'object', 'properties': {'results': {'type': 'array', 'items': {}}}, 'additionalProperties': True}
历史
近期工具变更
已添加
get_monitoring_options
2026年9月17日 07:57
已添加
get_ta_methodology
2026年9月17日 07:57
已添加
public_search_news
2026年9月17日 07:57
已添加
public_instrument_news
2026年9月17日 07:57
已添加
get_event_stats
2026年9月17日 07:57
已添加
get_instrument_info
2026年9月17日 07:57
已添加
get_crypto_context
2026年9月17日 07:57
已添加
get_macro_context
2026年9月17日 07:57
已添加
get_sentiment_data
2026年9月17日 07:57
已添加
get_market_breadth
2026年9月17日 07:57
已添加
get_intermarket
2026年9月17日 07:57
已添加
get_key_levels
2026年9月17日 07:57
已添加
get_relative_strength
2026年9月17日 07:57
已添加
get_technical_indicators
2026年9月17日 07:57
已添加
get_price_history
2026年9月17日 07:57
发现
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