Scavio for Reddit Stock Sentiment Tracker

The Problem

Reddit retail investor communities (wallstreetbets, stocks, investing) move markets. Tracking sentiment at scale requires automated search + NLP scoring, not manual thread reading.

How Scavio Helps

• Automated daily sentiment scoring per ticker
• Reddit search returns threads from multiple investing subreddits
• LLM scoring adapts to sarcasm and meme culture better than keyword sentiment
• 30-day rolling window shows trend direction
• Alert on sentiment spikes: deviation > 0.5 from 7-day average

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Reddit for "Watchlist: [AAPL, TSLA, NVDA] → Scavio Reddit search per ticker → LLM scores each thread -1 to +1 → daily average → store in SQLite → alert if today's TSLA sentiment deviates 0.6 from weekly average":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/reddit/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query, "sort": "new"},
)

data = response.json()
for post in data["data"].get("posts", [])[:5]:
    print(f"r/{post['subreddit']} — {post['title']}")
    print(f"   by u/{post['author']}")

Built for Retail investors, quantitative analysts, fintech builders, trading bot developers, financial content creators

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your reddit stock sentiment tracker solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.