MoveSurge
Market news with the measured price reaction attached to the event that caused it.
사용해야 할까요
품질 및 안전성
A
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~1,834토큰 (도구 정의)
~3.4 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.43%)
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"movesurge": {
"url": "https://movesurge.com/mcp"
}
}
}원격 엔드포인트
https://movesurge.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (5)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search_headlines(query, ticker, hours, limit)
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'.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Free text to match in the headline."
},
"ticker": {
"type": "string",
"description": "Restrict to a ticker, e.g. NVDA."
},
"hours": {
"type": "integer",
"description": "Look-back window in hours (1-336, default 24)."
},
"limit": {
"type": "integer",
"description": "Max results (1-50, default 20)."
}
}
}출력 스키마
{
"type": "object",
"properties": {
"window_hours": {
"type": "integer"
},
"count": {
"type": "integer"
},
"headlines": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"published_utc": {
"type": [
"string",
"null"
],
"format": "date-time"
},
"headline": {
"type": "string"
},
"category": {
"type": "string"
},
"impact": {
"type": "string"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
},
"context": {
"type": "array",
"items": {
"type": "string"
}
},
"market_reaction": {
"type": "object",
"properties": {
"measured_from": {
"type": "string"
},
"instruments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"symbol": {
"type": "string"
},
"label": {
"type": "string",
"description": "Display name of the measured series."
},
"price_before": {
"type": [
"number",
"null"
],
"description": "Price immediately before the headline crossed."
},
"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."
},
"window_minutes": {
"type": "integer"
},
"volume_ratio_10m": {
"type": [
"number",
"null"
]
},
"volume_quality": {
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"required": [
"id",
"headline"
]
}
}
},
"required": [
"count",
"headlines"
]
}🟢top_movers(hours, min_move_pct, limit)
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.
입력 스키마
{
"type": "object",
"properties": {
"hours": {
"type": "integer",
"description": "Look-back window in hours (1-336, default 24)."
},
"min_move_pct": {
"type": "number",
"description": "Minimum absolute move percent (default 0.5)."
},
"limit": {
"type": "integer",
"description": "Max results (1-50, default 10)."
}
}
}출력 스키마
{
"type": "object",
"properties": {
"window_hours": {
"type": "integer"
},
"min_move_pct": {
"type": "number"
},
"count": {
"type": "integer"
},
"movers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"published_utc": {
"type": [
"string",
"null"
],
"format": "date-time"
},
"headline": {
"type": "string"
},
"category": {
"type": "string"
},
"impact": {
"type": "string"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
},
"context": {
"type": "array",
"items": {
"type": "string"
}
},
"market_reaction": {
"type": "object",
"properties": {
"measured_from": {
"type": "string"
},
"instruments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"symbol": {
"type": "string"
},
"label": {
"type": "string",
"description": "Display name of the measured series."
},
"price_before": {
"type": [
"number",
"null"
],
"description": "Price immediately before the headline crossed."
},
"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."
},
"window_minutes": {
"type": "integer"
},
"volume_ratio_10m": {
"type": [
"number",
"null"
]
},
"volume_quality": {
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"required": [
"id",
"headline"
]
},
"description": "Ranked by the largest absolute measured move, biggest first."
}
},
"required": [
"count",
"movers"
]
}🟢ticker_history(ticker, days, limit)
Recent tape events for one ticker with each event's measured reaction. Use to answer 'what has been driving <ticker> lately'.
입력 스키마
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Ticker symbol, e.g. WDAY."
},
"days": {
"type": "integer",
"description": "Look-back window in days (1-60, default 7)."
},
"limit": {
"type": "integer",
"description": "Max results (1-50, default 20)."
}
},
"required": [
"ticker"
]
}출력 스키마
{
"type": "object",
"properties": {
"ticker": {
"type": "string"
},
"window_days": {
"type": "integer"
},
"events": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"published_utc": {
"type": [
"string",
"null"
],
"format": "date-time"
},
"headline": {
"type": "string"
},
"category": {
"type": "string"
},
"impact": {
"type": "string"
},
"tickers": {
"type": "array",
"items": {
"type": "string"
}
},
"why": {
"type": "string"
},
"context": {
"type": "array",
"items": {
"type": "string"
}
},
"market_reaction": {
"type": "object",
"properties": {
"measured_from": {
"type": "string"
},
"instruments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"symbol": {
"type": "string"
},
"label": {
"type": "string",
"description": "Display name of the measured series."
},
"price_before": {
"type": [
"number",
"null"
],
"description": "Price immediately before the headline crossed."
},
"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."
},
"window_minutes": {
"type": "integer"
},
"volume_ratio_10m": {
"type": [
"number",
"null"
]
},
"volume_quality": {
"type": [
"string",
"null"
]
}
}
}
}
}
}
},
"required": [
"id",
"headline"
]
}
},
"error": {
"type": "string"
}
}
}🟢get_article(slug)
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.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Article slug; omit to list recent articles."
}
}
}출력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string",
"format": "uri"
},
"markdown": {
"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."
},
"error": {
"type": "string"
}
}
}🟢coverage_stats
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.
입력 스키마
{
"type": "object",
"properties": {}
}출력 스키마
{
"type": "object",
"properties": {
"earliest_event": {
"type": [
"string",
"null"
],
"format": "date"
},
"latest_event": {
"type": [
"string",
"null"
],
"format": "date"
},
"total_events": {
"type": "integer"
},
"events_with_measured_reaction": {
"type": "integer"
},
"events_last_30d": {
"type": "integer"
},
"measured_reactions_last_30d": {
"type": "integer"
},
"distinct_tickers_last_90d": {
"type": "integer"
},
"continuous_months_of_coverage": {
"type": "integer"
},
"coverage_note": {
"type": "string"
},
"method": {
"type": "string"
}
}
}커뮤니티
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