Tickwind US Market Boards

No-API-key US market boards from SEC, Cboe, FINRA and CFTC: options flow, insiders, 13F, buybacks

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
95%
Vollständigkeit des Schemas
65%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~932Tokens (Tool-Definitionen)
~276 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.73% 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": {
    "tickwind": {
      "url": "https://api.tickwind.com/mcp"
    }
  }
}

Remote-Endpunkte

https://api.tickwind.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (8)

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🟢buyback_leaders(view)

US companies ranked by what they do to their own share count. view=cannibals ranks the largest latest-fiscal-year repurchase as a share of market cap; view=diluters ranks the fastest 1-year share-count growth. Source: company filings. The buyback figure is cash spent on repurchases as reported, NOT net of new issuance. Values: cannibals, diluters.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "view": {
      "description": "which leaderboard to read",
      "enum": [
        "cannibals",
        "diluters"
      ],
      "type": "string"
    }
  },
  "required": [
    "view"
  ]
}
🟢congress_trades

Recently DISCLOSED stock trades by members of the US Congress, newest transaction first. Source: House and Senate periodic transaction reports, which may be filed up to 45 days after the trade — the newest disclosure is not the newest trade. Members disclose dollar amounts as ranges, never exact figures.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢dca_rating(ticker)

A rules-based 0-100 read of how well one US stock fits scheduled recurring buying (dollar-cost averaging), computed from its disclosed filings and daily bars. Structural description only: it is not a recommendation, not a price target, and not investment advice.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "description": "US exchange ticker symbol, e.g. AAPL",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢insider_clusters

US small caps where SEVERAL DISTINCT company insiders each bought their own stock on the open market in the last 30 days, ranked by number of buyers then dollar value. Source: SEC Form 4, open-market purchases only — grants and option exercises are excluded. Scanned over a $300M-$2.5B market-cap band, not the whole market.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢institutional_13f

Which US stocks the tracked superinvestor funds added or opened last quarter, alongside how many trimmed or exited. Source: SEC form 13F, which reports LONG US equity positions as of a quarter end and is filed up to 45 days after it — these are historical positions, not current trades, and short positions, bonds and non-US holdings never appear in them.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢key_levels(ticker)

Historical support and resistance price bands for one US stock, clustered from its daily bars (swing highs and lows plus volume shelves), with the nearest band above and below the latest close and how far away each sits. It describes where price HAS turned before and never forecasts whether a level will hold.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "description": "US exchange ticker symbol, e.g. AAPL",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢risk_filings(kind)

Recent SEC filings whose text MENTIONS a specific risk phrase, per EDGAR's full-text index. A mention is not a finding — the phrase also matches negations like "no material weakness". Values: going-concern, material-weakness, cyber-incident.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "kind": {
      "description": "which saved risk query to run",
      "enum": [
        "going-concern",
        "material-weakness",
        "cyber-incident"
      ],
      "type": "string"
    }
  },
  "required": [
    "kind"
  ]
}
🟢unusual_options

Today's most-traded US single-stock option contracts by volume, with each contract's volume-to-open-interest ratio. Source: Cboe, ~15-minute delayed. Ranked within a fixed scan set, not the whole market.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

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verifiziertVersion nicht aufgezeichnet8 Tools
verifiziertVersion nicht aufgezeichnet8 Tools