# Default 20-ticker dark pool scan

**Use case:** 

Ready-to-run example: scans 20 popular tickers for dark pool (ATS) trading activity from official FINRA weekly data and flags off-exchange volume spikes.

## Input

```json
{
  "tickers": [
    "AAPL",
    "TSLA",
    "NVDA",
    "AMD",
    "META",
    "NFLX",
    "PLTR",
    "COIN",
    "SOFI",
    "RIVN",
    "MSTR",
    "GME",
    "SMCI",
    "ARM",
    "AVGO",
    "BAC",
    "F",
    "NIO",
    "AAL",
    "QQQ"
  ],
  "weeks_lookback": 8,
  "min_spike_ratio": 1.5,
  "min_weekly_shares": 100000,
  "top_venues_per_ticker": 5,
  "max_results": 100,
  "request_timeout_secs": 30
}
```

## Output

```json
{
  "row_type": {
    "label": "Type"
  },
  "ticker": {
    "label": "Ticker"
  },
  "week_start_date": {
    "label": "Week"
  },
  "total_shares": {
    "label": "Off-Exchange Shares"
  },
  "total_notional": {
    "label": "Notional $"
  },
  "avg_trailing_shares": {
    "label": "Trailing Avg Shares"
  },
  "spike_ratio": {
    "label": "Spike x"
  },
  "num_venues": {
    "label": "# Venues"
  },
  "venue_mpid": {
    "label": "Venue MPID"
  },
  "venue_name": {
    "label": "Venue"
  },
  "venue_shares": {
    "label": "Venue Shares"
  },
  "venue_notional": {
    "label": "Venue Notional $"
  },
  "venue_share_pct": {
    "label": "% of Ticker Volume"
  }
}
```

## About this Actor

This example demonstrates how to use [Dark Pool Pulse — Off-Exchange Volume Scanner](https://apify.com/0xgollum/dark-pool-pulse) with a specific input configuration. Visit the [Actor detail page](https://apify.com/0xgollum/dark-pool-pulse) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/0xgollum/dark-pool-pulse.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).