# Political Capital Tracker — Congress + 13F Convergence (`gochujang/political-capital-tracker`) Actor

Find stocks where politicians AND institutional investors are buying simultaneously. Combines congressional trading disclosures (STOCK Act) with SEC 13F institutional holdings. Detects convergence signals — tickers with both politician buys and 13F position increases. No API key required.

- **URL**: https://apify.com/gochujang/political-capital-tracker.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 90.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## Political Capital Tracker — Congress + Institutional 13F Convergence Signal

**Find stocks where Congress members AND Wall Street are buying simultaneously.**

This actor combines two of the most powerful public data sources in finance:

1. **Congressional trades** (STOCK Act disclosures via House Stock Watcher)
2. **SEC 13F institutional holdings** (largest hedge funds and asset managers)

When a politician buys a stock *and* a top-tier institution is increasing its position in the same quarter — that's a convergence signal. Research shows congressional trading outperforms the market; combining it with institutional confirmation dramatically reduces noise.

No API key required. Completely free data sources.

***

### What This Actor Does

1. Downloads all House congressional trade disclosures (public S3 dataset, updated daily)
2. Filters to recent purchases within your lookback window
3. Groups by ticker — finds stocks with multiple politicians buying
4. Fetches the latest SEC 13F-HR filings for major institutional funds via EDGAR
5. Cross-references: which tickers appear in *both* politician buys AND institutional increases?
6. Outputs ranked convergence signals with full politician + fund attribution

***

### Convergence Signal Logic

```
For each ticker T with >= N politician buys in the last X days:
  - Check if any major 13F filer increased position in T (new or increased QoQ)
  - convergence_score = politician_buy_count × (1 + institutional_increasing_count)
  - Flag as "convergence_signal" if any institution is bullish, else "politician_buy"
```

Higher convergence scores = stronger signal (more politicians + more institutions).

***

### Use Cases

- **Quantitative trading signals** — Add congressional + institutional confirmation layer to stock screeners
- **Political alpha research** — Study the "Congress premium" with institutional validation
- **Sentiment analysis** — Track when political and financial elites align on same bets
- **Risk management** — Avoid stocks where politicians are selling while institutions exit

***

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `lookbackDays` | integer | 30 | Days to look back for congressional trades (max 90) |
| `minPoliticianBuys` | integer | 2 | Minimum politicians buying same ticker to flag |
| `topFunds` | array | 5 major funds | Institutional funds to check 13F for |
| `includeAllTrades` | boolean | false | Also output all individual congressional trade records |
| `minTradeAmount` | select | any | Filter trades by STOCK Act amount range |

#### Default Funds Tracked

- Berkshire Hathaway (Warren Buffett)
- Bridgewater Associates (Ray Dalio)
- Renaissance Technologies (Jim Simons)
- Two Sigma
- Citadel (Ken Griffin)

Add any fund that files 13F-HR with the SEC — over 5,000 institutions qualify.

***

### Output Format

#### Convergence Signal Record

```json
{
  "_type": "convergence_signal",
  "ticker": "NVDA",
  "convergence_score": 12,
  "politician_buy_count": 4,
  "has_convergence": true,
  "politicians": [
    {
      "name": "John Smith",
      "party": "R",
      "state": "TX",
      "amount": "$50,001-$100,000",
      "date": "2024-11-15"
    }
  ],
  "institutional_bullish": [
    {
      "fund": "Berkshire Hathaway",
      "change": "increased",
      "cusip": "67066G104"
    }
  ],
  "trade_date_range": "2024-11-01 to 2024-11-22",
  "asset_description": "NVIDIA Corporation"
}
```

#### Politician Buy Only (no institutional confirmation)

```json
{
  "_type": "politician_buy",
  "ticker": "AMD",
  "convergence_score": 3,
  "politician_buy_count": 3,
  "has_convergence": false,
  ...
}
```

#### Summary (Key-Value Store: `SUMMARY`)

```json
{
  "total_convergence_signals": 8,
  "total_politician_only_signals": 12,
  "unique_tickers_bought": 47,
  "funds_checked": 5,
  "lookback_days": 30
}
```

***

### Pricing

| Event | Price | Description |
|-------|-------|-------------|
| Actor start | $0.001 | Per run |
| Convergence signal | **$0.05** | Per ticker with politician buy + institutional increase |
| Trade record | $0.005 | Per congressional trade (when `includeAllTrades=true`) |

**First 25 convergence signals free** (Apify free tier).

#### Cost Examples

- Typical run (30 days, 5 funds): ~$0.001–$2.50 depending on signals found
- Research scan (90 days, 10 funds, all trades included): ~$1–$10
- Compared to: Quiver Quant ($20/mo), Capitol Trades ($15/mo), Unusual Whales ($25/mo)

***

### Data Sources

| Source | URL | Update Frequency | Auth |
|--------|-----|-----------------|------|
| House Stock Watcher | S3 public dataset | Daily | None |
| SEC EDGAR 13F-HR | data.sec.gov | Quarterly | None |
| OpenFIGI (CUSIP→Ticker) | api.openfigi.com | Real-time | None |

**Important:** Congressional trades are disclosed within 30–45 days of the transaction under the STOCK Act. 13F filings are submitted within 45 days of quarter end. This is backward-looking data — not real-time.

***

### Limitations

- **House only** for congressional data (Senate STOCK Act disclosures are separate and less structured; future version may add Senate via efts.sec.gov)
- **45-day lag** on 13F filings — institutional positions reflect quarter-end, not current
- **CUSIP → ticker mapping** relies on OpenFIGI free tier (may miss some exotic securities)
- **Fund name matching** uses EDGAR full-text search — obscure fund names may not resolve

***

### Related Actors

- [SEC 13F Holdings Tracker](https://apify.com/store) — Deep dive into a single fund's holdings
- [Insider Trading Tracker](https://apify.com/store) — SEC Form 4 corporate insider trades
- [Unusual Options Tracker](https://apify.com/store) — Options flow anomaly detection

**Keywords:** congressional trading, STOCK Act, politician stocks, 13F institutional, smart money tracker, political investing, SEC filings, insider trading, convergence signals

# Actor input Schema

## `lookbackDays` (type: `integer`):

Look back this many days for congressional trades

## `minPoliticianBuys` (type: `integer`):

Minimum number of politicians buying same ticker to flag as signal

## `topFunds` (type: `array`):

Fund names to check 13F for (e.g. 'Berkshire Hathaway', 'Renaissance Technologies')

## `includeAllTrades` (type: `boolean`):

Also return all individual congressional trades (not just convergence signals)

## `minTradeAmount` (type: `string`):

Filter congressional trades by minimum amount: $1,001-$15,000, $15,001-$50,000, $50,001-$100,000, $100,001-$250,000, Over $1,000,000

## Actor input object example

```json
{
  "lookbackDays": 30,
  "minPoliticianBuys": 2,
  "topFunds": [
    "Berkshire Hathaway",
    "Bridgewater Associates",
    "Renaissance Technologies",
    "Two Sigma",
    "Citadel"
  ],
  "includeAllTrades": false,
  "minTradeAmount": "any"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("gochujang/political-capital-tracker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("gochujang/political-capital-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call gochujang/political-capital-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gochujang/political-capital-tracker"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/aKlEnv8SDQ2vfPNFQ/builds/Rgd3fDcPNv0mv6mhu/openapi.json