Donald Trump: Remarks, Jan 29, 2026
Polymarket What will Trump say during the announcement on January 29?
Markets
20 words · 1 settled yes- Polymarket: named speaker only Polymarket
backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.
| Word | Result | Probability | Market |
|---|---|---|---|
| Terrible / Horrible | Yes | 39%n=2 from settlement history | – |
| Hottest | No | 61%n=128 from settlement history | – |
| Biden 7+ times | No | 49%n=3 from settlement history | – |
| Million / Billion / Trillion 20+ times | No | 49%n=4 from settlement history | – |
| Protest | No | –n=1 too little history for a probability | – |
| Bestseller / Ticket | No | –n=1 too little history for a probability | – |
| ICE / National Guard | No | 45%n=13 from settlement history | – |
| Hell 4+ times | No | 44%n=2 from settlement history | – |
| Greenland | No | 43%n=34 from settlement history | – |
| Gun | No | –n=1 too little history for a probability | – |
| Somali / Somalia / Somalian | No | 41%n=23 from settlement history | – |
| Armada | No | –new new word, no probability yet | – |
| Fake News | No | 38%n=52 from settlement history | – |
| FED / Federal Reserve | No | 36%n=5 from settlement history | – |
| Shutdown / Shut Down | No | 36%n=56 from settlement history | – |
| Walz | No | 33%n=5 from settlement history | – |
| Schumer | No | 33%n=19 from settlement history | – |
| TikTok | No | 24%n=46 from settlement history | – |
| Crypto / Bitcoin | No | 6%n=247 from settlement history | – |
| Midterms | open | – | – |
Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 21, 2026 04:22 UTC.
Transcript
No transcript source yet. The results above are how the venues settled the markets.
Agents: this page as TSV at /api/v1/brief?event=p%3Awhat-will-trump-say-during-the-announcement-on-january-29 · columnar JSON in #parrot-data · llms.txt · MCP