Reddit Stock Signal Extraction

import requests API_KEY = "your_scavio_api_key" res = requests.post( "https://api.scavio.dev/api/v1/search", headers={"x-api-key": API_KEY}, json={"platform": "reddit", "query": "what are you buying this week stocks"}, ) posts = res.json().get("organic", []) for post in posts[:5]: print(f"{post.get('title', '')} | score: {post.get('score', 0)} | comments: {post.get('comments', 0)}")

Reddit Stock Signal Extraction is relevant to Reddit. Scavio provides a unified API to access data from all of these platforms.

Reddit investment communities contain real-time retail investor sentiment that sometimes moves markets. The 2021 GameStop event demonstrated that Reddit discussion volume and sentiment can precede significant price movements. Extracting these signals programmatically requires: (1) searching Reddit for stock-related discussions, (2) extracting ticker symbols from post text, (3) classifying sentiment per ticker, and (4) tracking volume and sentiment trends over time. Data collection: Scavio Reddit search at $0.005/query returns post titles, text, scores, comment counts, and subreddit. Query patterns that surface stock discussions: '{ticker} DD' (due diligence posts), '{ticker} analysis', 'what are you buying this week', 'portfolio moves'. Monitor 10-20 queries across r/wallstreetbets, r/stocks, r/investing, and r/options for comprehensive coverage. Daily monitoring cost: 20 queries x $0.005 = $0.10/day. Ticker extraction approaches: regex matching against known ticker lists (fast but misses context), NLP entity recognition (slower but handles '$TSLA went up' vs 'Tesla cars are great'), or LLM classification (most accurate, costs ~$0.001/post via Claude Haiku). Sentiment classification per ticker mention: positive (bullish call, price target above current, 'moon' language), negative (bearish thesis, puts, 'dump' language), or neutral (factual discussion, earnings recap). Track mention volume and average sentiment per ticker daily. Alert when: mention volume spikes 3x above 30-day average, sentiment flips direction, or a new ticker enters top-10 most-discussed for the first time.