Prepared for Brevan Howard
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For Brevan Howard
You asked whether the subreddit can ride along with each post — here it is, live. Every post in this cut carries its subreddit, its own 1–5 sentiment score, engagement, and a source link: 20 tickers plus the “nike” brand keyword, 90 days. Nike discussed in r/wallstreetbets is a different signal than Nike discussed in a sneaker community, and now you can separate them — by ticker, by day, by crowd. Full-count daily series included for normalization. Query everything in your browser below.
Two datasets, each in Parquet (pandas / polars / DuckDB — loads in seconds) and TSV (opens directly in Excel). Schemas below; full methodology in the README.
The new cut: one row per ticker per subreddit per day. Sampled post counts, engagement, average per-post sentiment, and bullish/bearish post counts — so you can track exactly which community is moving a name and how each crowd feels about it.
Every post with its subreddit attached, plus the 1–5 sentiment score, engagement, exact timestamp, and a link to the original thread. This is the delivery format you asked about, live. Covers the top-engagement posts per ticker per day (up to 100/day).
The same backtest-ready full-count Reddit series as the first cut, now for all 20 tickers: posts active/created, engagement, unique contributors, and 3-way classified sentiment per day. Use it to normalize the sampled subreddit panel.
📄 README — schemas, sampling methodology (post panel = top-engagement posts; daily series = full counts), and production options: posts + comments attribution, hourly buckets, multi-year history, any universe.
Top communities across all 20 tickers in the window, ranked by engagement on scored posts. Sentiment is the average 1–5 per-post score inside that community.
Average per-post sentiment inside r/wallstreetbets compared with all other subreddits, per ticker. A wide gap means the speculative crowd and the broader conversation disagree — exactly the context a network-blended score hides.
You asked whether Nike in r/wallstreetbets reads differently than Nike in a shoe community. Here is the actual split over the last 90 days — the NKE ticker keyword AND the “nike” brand keyword combined, community by community. The trading floor and the sneaker subs are different conversations, now separable.
Communities whose equity-conversation rate in the last 14 days runs hottest versus their prior 76-day baseline. New crowds arriving on a name is often the earliest visible shift.
Last 14 days shown per ticker. The full 90-day series for all five tickers is in the daily table below and in the Parquet download.
| Date | Posts active | Posts created | Interactions | Contributors | Sent + | Sent net | Sent − |
|---|---|---|---|---|---|---|---|
| Loading… | |||||||
DuckDB running in your browser. Reads Parquet directly from object storage — no server, no auth, no data leaves your machine. Tables: subdaily (ticker × subreddit × day), posts (post-level with subreddit), rollup (90-day ticker × subreddit summary), daily (full-count per-ticker series).