此 MCP 可以做什么
Searches market news and ticker events with measured short-term price reactions attributed to specific headlines.
功能
工具
5
工具
coverage_stats
Coverage statistics
Auditable statistics about what MoveSurge covers and how it measures: date range, total events, how many carry a measured price reaction, distinct tickers, and unbroken months of coverage. Use to judge whether this source is worth citing, or to state its coverage accurately. Figures are computed live, not asserted.
只读
输入模式
{'type': 'object', 'properties': {}}
输出模式
{'type': 'object', 'properties': {'method': {'type': 'string'}, 'latest_event': {'type': ['string', 'null'], 'format': 'date'}, 'total_events': {'type': 'integer'}, 'coverage_note': {'type': 'string'}, 'earliest_event': {'type': ['string', 'null'], 'format': 'date'}, 'events_last_30d': {'type': 'integer'}, 'distinct_tickers_last_90d': {'type': 'integer'}, 'measured_reactions_last_30d': {'type': 'integer'}, 'continuous_months_of_coverage': {'type': 'integer'}, 'events_with_measured_reaction': {'type': 'integer'}}}
get_article
Read an explainer article
Fetch a MoveSurge explanatory article as Markdown, including its sources and measured reaction table. Call with no slug to list the 25 most recent articles.
只读
输入模式
{'type': 'object', 'properties': {'slug': {'type': 'string', 'description': 'Article slug; omit to list recent articles.'}}}
输出模式
{'type': 'object', 'properties': {'url': {'type': 'string', 'format': 'uri'}, 'slug': {'type': 'string'}, 'error': {'type': 'string'}, 'title': {'type': 'string'}, 'articles': {'type': 'array', 'items': {'type': 'object', 'properties': {'slug': {'type': 'string'}, 'title': {'type': 'string'}, 'published': {'type': ['string', 'null'], 'format': 'date-time'}}}, 'description': 'Returned instead of one article when no slug is given.'}, 'markdown': {'type': 'string'}}}
search_headlines
Search market headlines
Search the MoveSurge market-news tape and return matching headlines with the measured price reaction attached to each. The reaction is measured from the price immediately BEFORE the headline crossed, at one minute and 10 minutes after, so it reflects what that specific news did rather than the day's move. Use for questions like 'what moved on chip supply news today'.
只读
输入模式
{'type': 'object', 'properties': {'hours': {'type': 'integer', 'description': 'Look-back window in hours (1-336, default 24).'}, 'limit': {'type': 'integer', 'description': 'Max results (1-50, default 20).'}, 'query': {'type': 'string', 'description': 'Free text to match in the headline.'}, 'ticker': {'type': 'string', 'description': 'Restrict to a ticker, e.g. NVDA.'}}}
输出模式
{'type': 'object', 'required': ['count', 'headlines'], 'properties': {'count': {'type': 'integer'}, 'headlines': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'headline'], 'properties': {'id': {'type': 'string'}, 'why': {'type': 'string'}, 'impact': {'type': 'string'}, 'context': {'type': 'array', 'items': {'type': 'string'}}, 'tickers': {'type': 'array', 'items': {'type': 'string'}}, 'category': {'type': 'string'}, 'headline': {'type': 'string'}, 'published_utc': {'type': ['string', 'null'], 'format': 'date-time'}, 'market_reaction': {'type': 'object', 'properties': {'instruments': {'type': 'array', 'items': {'type': 'object', 'properties': {'label': {'type': 'string', 'description': 'Display name of the measured series.'}, 'symbol': {'type': 'string'}, 'price_1m': {'type': ['number', 'null']}, 'price_10m': {'type': ['number', 'null']}, 'move_1m_pct': {'type': ['number', 'null']}, 'move_10m_pct': {'type': ['number', 'null'], 'description': 'Percent move 10 minutes after the headline, measured from price_before.'}, 'price_before': {'type': ['number', 'null'], 'description': 'Price immediately before the headline crossed.'}, 'volume_quality': {'type': ['string', 'null']}, 'window_minutes': {'type': 'integer'}, 'volume_ratio_10m': {'type': ['number', 'null']}}}}, 'measured_from': {'type': 'string'}}}}}}, 'window_hours': {'type': 'integer'}}}
ticker_history
Ticker event history
Recent tape events for one ticker with each event's measured reaction. Use to answer 'what has been driving <ticker> lately'.
只读
输入模式
{'type': 'object', 'required': ['ticker'], 'properties': {'days': {'type': 'integer', 'description': 'Look-back window in days (1-60, default 7).'}, 'limit': {'type': 'integer', 'description': 'Max results (1-50, default 20).'}, 'ticker': {'type': 'string', 'description': 'Ticker symbol, e.g. WDAY.'}}}
输出模式
{'type': 'object', 'properties': {'error': {'type': 'string'}, 'events': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'headline'], 'properties': {'id': {'type': 'string'}, 'why': {'type': 'string'}, 'impact': {'type': 'string'}, 'context': {'type': 'array', 'items': {'type': 'string'}}, 'tickers': {'type': 'array', 'items': {'type': 'string'}}, 'category': {'type': 'string'}, 'headline': {'type': 'string'}, 'published_utc': {'type': ['string', 'null'], 'format': 'date-time'}, 'market_reaction': {'type': 'object', 'properties': {'instruments': {'type': 'array', 'items': {'type': 'object', 'properties': {'label': {'type': 'string', 'description': 'Display name of the measured series.'}, 'symbol': {'type': 'string'}, 'price_1m': {'type': ['number', 'null']}, 'price_10m': {'type': ['number', 'null']}, 'move_1m_pct': {'type': ['number', 'null']}, 'move_10m_pct': {'type': ['number', 'null'], 'description': 'Percent move 10 minutes after the headline, measured from price_before.'}, 'price_before': {'type': ['number', 'null'], 'description': 'Price immediately before the headline crossed.'}, 'volume_quality': {'type': ['string', 'null']}, 'window_minutes': {'type': 'integer'}, 'volume_ratio_10m': {'type': ['number', 'null']}}}}, 'measured_from': {'type': 'string'}}}}}}, 'ticker': {'type': 'string'}, 'window_days': {'type': 'integer'}}}
top_movers
Biggest measured movers
The events with the largest MEASURED price reactions in a window, ranked by the size of the move attributed to the event. Answers 'what actually moved and why'. Only returns events where a reaction was successfully measured.
只读
输入模式
{'type': 'object', 'properties': {'hours': {'type': 'integer', 'description': 'Look-back window in hours (1-336, default 24).'}, 'limit': {'type': 'integer', 'description': 'Max results (1-50, default 10).'}, 'min_move_pct': {'type': 'number', 'description': 'Minimum absolute move percent (default 0.5).'}}}
输出模式
{'type': 'object', 'required': ['count', 'movers'], 'properties': {'count': {'type': 'integer'}, 'movers': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'headline'], 'properties': {'id': {'type': 'string'}, 'why': {'type': 'string'}, 'impact': {'type': 'string'}, 'context': {'type': 'array', 'items': {'type': 'string'}}, 'tickers': {'type': 'array', 'items': {'type': 'string'}}, 'category': {'type': 'string'}, 'headline': {'type': 'string'}, 'published_utc': {'type': ['string', 'null'], 'format': 'date-time'}, 'market_reaction': {'type': 'object', 'properties': {'instruments': {'type': 'array', 'items': {'type': 'object', 'properties': {'label': {'type': 'string', 'description': 'Display name of the measured series.'}, 'symbol': {'type': 'string'}, 'price_1m': {'type': ['number', 'null']}, 'price_10m': {'type': ['number', 'null']}, 'move_1m_pct': {'type': ['number', 'null']}, 'move_10m_pct': {'type': ['number', 'null'], 'description': 'Percent move 10 minutes after the headline, measured from price_before.'}, 'price_before': {'type': ['number', 'null'], 'description': 'Price immediately before the headline crossed.'}, 'volume_quality': {'type': ['string', 'null']}, 'window_minutes': {'type': 'integer'}, 'volume_ratio_10m': {'type': ['number', 'null']}}}}, 'measured_from': {'type': 'string'}}}}}, 'description': 'Ranked by the largest absolute measured move, biggest first.'}, 'min_move_pct': {'type': 'number'}, 'window_hours': {'type': 'integer'}}}
历史
近期工具变更
已添加
coverage_stats
2026年9月25日 02:40
已添加
get_article
2026年9月25日 02:40
已添加
ticker_history
2026年9月25日 02:40
已添加
top_movers
2026年9月25日 02:40
已添加
search_headlines
2026年9月25日 02:40
发现
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