WSB Sentiment Extraction

import requests API_KEY = "your_scavio_key" tickers = ["AAPL", "TSLA", "NVDA", "GME", "AMC"] for ticker in tickers: res = requests.post( "https://api.scavio.dev/api/v1/search", headers={"x-api-key": API_KEY}, json={"query": f"{ticker} site:reddit.com/r/wallstreetbets", "platform": "google"}, ) results = res.json().get("organic", []) mentions = len(results) print(f"{ticker}: {mentions} recent discussions") # Cost: $0.025 for 5 tickers

WSB Sentiment Extraction is relevant to Google, Reddit. Scavio provides a unified API to access data from all of these platforms.

Reddit financial communities, particularly r/wallstreetbets (15M+ members), generate real-time sentiment signals that correlate with retail trading activity. Extracting this sentiment programmatically provides a data feed for trading algorithms, market research, and investor relations monitoring. Extraction pipeline: (1) Query Reddit via SERP API for each target ticker: 'AAPL site:reddit.com/r/wallstreetbets' via Google, or direct Reddit search endpoint. (2) Parse discussion titles and snippets for sentiment indicators: bullish keywords (moon, calls, buy), bearish keywords (puts, short, dump), and neutral analysis terms. (3) Track mention frequency over time: sudden spikes in ticker mentions often precede retail-driven price movements. (4) Measure engagement: posts with high upvote ratios indicate community consensus; controversial posts (50% upvoted) indicate disagreement. Cost-effective monitoring: tracking 50 tickers daily across r/wallstreetbets and r/stocks = 100 queries/day = $0.50/day = $15/mo via Scavio at $0.005/query. Compare to dedicated Reddit sentiment platforms that charge $200-500/mo for similar data. Accuracy considerations: Reddit sentiment is noisy. Meme stocks generate massive mention volume with extreme sentiment that does not always correlate with fundamentals. Weight sentiment by: (1) post age (recent posts matter more), (2) engagement (highly upvoted = stronger signal), (3) subreddit (r/stocks is more analytical than r/wallstreetbets). (4) author history (accounts with established history provide more reliable signals than new accounts). This approach supplements, not replaces, traditional financial data. Use as one input alongside price action, fundamentals, and institutional data.