@Kalshi

Who Is This Person?

Kalshi is a U.S.-based federally regulated prediction market exchange founded in 2018 and launched in 2021, allowing users to trade on event outcomes such as elections, economic indicators, weather, and more. The @Kalshi Twitter account serves as the official social media presence for the company, posting updates on market volumes, new features, partnerships, and probabilistic predictions. Recent activities include announcing $1 billion in monthly volume as of September 2025, partnerships with Pyth Network for on-chain data integration across 100+ blockchains, hiring a Head of Crypto in August 2025, and launching KalshiEco to support builders in prediction markets. The account has been active since at least December 2021, with posts highlighting post-election surges in trading volume reaching $6.9 billion total since inception.

As the official account of a regulated financial entity, @Kalshi demonstrates high credibility in disseminating company-specific information and market insights, supported by CFTC approval and consistent cross-platform narratives. Engagement patterns show influential reach in fintech and crypto spaces, with tweet styles mixing informative updates, memes, and calls-to-action that drive interaction without evident misinformation. While promotional bias exists, the account's track record of accurate self-reported data and proactive disclaimers (e.g., on memecoins) bolsters reliability; however, users should cross-verify probabilistic claims against official sources due to the speculative nature of predictions.

Assessment by Grok AI

What's Their Track Record?

The account primarily shares market data, probabilities, and company announcements, which are based on real-time trading rather than absolute facts, leading to high accuracy in reporting Kalshi's own metrics (e.g., volume figures verified in news reports). No major fact-checks or corrections noted; a 2025 post warned users about unaffiliated memecoins, promoting transparency. Historical posts from 2021 onward show consistent probabilistic predictions (e.g., election outcomes, COVID markets) that aligned with eventual events in many cases, though inherent to prediction markets, some outcomes vary. No significant controversies or retractions identified in available data.