Track US congress member and politician stock trades in real-time using the Quiver Quant API. Syncs trades to a local SQLite database, detects new significant trades above 15K, and sends alerts via OpenClaw messaging. Only requires Python with the requests library and a QUIVER_API_KEY environment variable. Use when setting up congressional trade monitoring, politician stock trade alerts, insider trading surveillance, or tracking what senators and representatives are buying and selling.
Scanned 5/30/2026
Install via CLI
openskills install dvcrn/openclaw-skills-marketplace---
name: congress-trades
description: "Track US congress member and politician stock trades in real-time using the Quiver Quant API. Syncs trades to a local SQLite database, detects new significant trades above 15K, and sends alerts via OpenClaw messaging. Only requires Python with the requests library and a QUIVER_API_KEY environment variable. Use when setting up congressional trade monitoring, politician stock trade alerts, insider trading surveillance, or tracking what senators and representatives are buying and selling."
---
# Congress Trades Tracker
Monitor US congressional stock trades via Quiver Quant API, store in a local SQLite database, and alert on new significant trades. Requires Python `requests` library and a Quiver Quant API key.
## Requirements
- Python 3.10+ with `requests` (`pip install requests`)
- **QUIVER_API_KEY** environment variable (get a key at https://www.quiverquant.com/)
## Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
| QUIVER_API_KEY | **Yes** | — | Quiver Quant API token |
| CONGRESS_DB_PATH | No | data/congress_trades.db | SQLite database path |
| MIN_TRADE_AMOUNT | No | 15001 | Minimum trade amount to trigger alerts |
Set these in your shell profile, `.env` file, or cron environment. Never hard-code API keys in the script.
## Setup
### 1. Install Python dependency
```bash
pip install requests
```
### 2. Set your API key
```bash
export QUIVER_API_KEY="your-api-key-here"
```
### 3. Schedule with user cron (no sudo needed)
Add your env vars to `~/.profile` or a `.env` file sourced by your shell, then add the cron entry:
```bash
crontab -e
# Add this line (uses env vars from your profile):
* * * * * . "$HOME/.profile" && /usr/bin/python3 /path/to/scripts/scraper.py >> /path/to/logs/scraper.log 2>&1
```
Never inline API keys directly in crontab entries.
### 4. Set up OpenClaw alert pickup
Add to your `HEARTBEAT.md`:
```markdown
## Check for congress trade alerts
- Read `congress_trades/data/pending_congress_alert.txt` — if it has content, send the alert to the user, then delete the file.
```
Or create an OpenClaw cron job (every 5 min) to check and forward alerts.
## How It Works
1. Scraper runs every minute, fetches latest 200 trades from `api.quiverquant.com`
2. Inserts into local SQLite with unique trade_key deduplication
3. First run initializes DB and reports newest trade
4. Subsequent runs detect new trades, filter to buys/sells above threshold
5. Writes formatted alert to `data/pending_congress_alert.txt` for OpenClaw pickup
6. Keeps last 50 alerts in `data/new_trades.json`
## Network and Data
- **Only outbound connection**: `api.quiverquant.com` (Quiver Quant API)
- **Storage**: local SQLite file + JSON alert files in `data/`
- **No external endpoints** besides the Quiver API
- Restrict file permissions on data directory (`chmod 700 data/`)
## Alert Format
```
🏛️ 3 new congress trade(s) detected:
🟢 PURCHASE: Nancy Pelosi (D) [Rep]
$NVDA — $1,000,001 - $5,000,000
Trade: 2026-02-10 | Reported: 2026-02-14
🔴 SALE: Dan Crenshaw (R) [Rep]
$MSFT — $15,001 - $50,000
Trade: 2026-02-09 | Reported: 2026-02-14
```
## Customization
- **MIN_TRADE_AMOUNT**: raise/lower via env var to change alert threshold
- **Fetch limit**: change `limit=200` in `fetch_trades()` for broader sweeps
- **Cron frequency**: reduce to every 5 or 15 minutes if you prefer less polling
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