> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sequency.sh/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Dark Pool Intraday

> Get minute-by-minute dark pool data for sparkline.



## OpenAPI

````yaml /api/openapi.json get /api/graph/v1/dark-pool/intraday
openapi: 3.1.0
info:
  title: Sequency Graph API
  description: >

    # Sequency Graph-Native Trading API


    Graph-native API for trading intelligence, built on FalkorDB.


    ## Features


    - **Screener**: Filter stocks using graph-native queries with relationship
    expansion

    - **Stock Detail**: Complete stock context with all relationships

    - **Confluence Scoring**: Setup quality assessment with weighted components

    - **Strategy Matching**: Find matching options strategies via graph
    traversal

    - **Market Context**: Current market-wide context for trading decisions


    ## Data Sources


    All data is sourced from the FalkorDB knowledge graph, populated by:

    - Pattern detector (Go) - Technical indicators, patterns

    - Graph sync service - Levels, volume profiles, news, day classification
  version: 1.0.0
servers: []
security: []
paths:
  /api/graph/v1/dark-pool/intraday:
    get:
      tags:
        - Dark Pool
      summary: Get Dark Pool Intraday
      description: Get minute-by-minute dark pool data for sparkline.
      operationId: get_dark_pool_intraday_api_graph_v1_dark_pool_intraday_get
      parameters:
        - name: symbol
          in: query
          required: true
          schema:
            type: string
            title: Symbol
            description: Stock symbol
          description: Stock symbol
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DarkPoolIntradayResponse'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
components:
  schemas:
    DarkPoolIntradayResponse:
      properties:
        symbol:
          type: string
          title: Symbol
        minutes:
          items:
            $ref: '#/components/schemas/DarkPoolMinuteRow'
          type: array
          title: Minutes
      type: object
      required:
        - symbol
        - minutes
      title: DarkPoolIntradayResponse
      description: Intraday dark pool series for sparkline.
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
    DarkPoolMinuteRow:
      properties:
        time:
          type: string
          format: date-time
          title: Time
        dark_volume:
          type: integer
          title: Dark Volume
        lit_volume:
          type: integer
          title: Lit Volume
        dark_pct:
          type: number
          title: Dark Pct
        block_trade_count:
          type: integer
          title: Block Trade Count
        block_volume:
          type: integer
          title: Block Volume
        buy_volume:
          type: integer
          title: Buy Volume
        sell_volume:
          type: integer
          title: Sell Volume
        buy_sell_ratio:
          type: number
          title: Buy Sell Ratio
        net_buy_volume:
          type: integer
          title: Net Buy Volume
      type: object
      required:
        - time
        - dark_volume
        - lit_volume
        - dark_pct
        - block_trade_count
        - block_volume
        - buy_volume
        - sell_volume
        - buy_sell_ratio
        - net_buy_volume
      title: DarkPoolMinuteRow
      description: Single minute of dark pool data.
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
              - type: string
              - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
        input:
          title: Input
        ctx:
          type: object
          title: Context
      type: object
      required:
        - loc
        - msg
        - type
      title: ValidationError

````