MoveSurge
Market news with the measured price reaction attached to the event that caused it.
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Qualität und Sicherheit
A
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
~1,834Tokens (Tool-Definitionen)
~3.4 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.43% von 128k Kontext)
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"movesurge": {
"url": "https://movesurge.com/mcp"
}
}
}Remote-Endpunkte
https://movesurge.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
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🟢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'.
Eingabe-Schema
{
"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)."
}
}
}Ausgabe-Schema
{
"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.
Eingabe-Schema
{
"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)."
}
}
}Ausgabe-Schema
{
"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'.
Eingabe-Schema
{
"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"
]
}Ausgabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Article slug; omit to list recent articles."
}
}
}Ausgabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {}
}Ausgabe-Schema
{
"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"
}
}
}Community
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