By: Katherine Long, Caitlin Ostroff, Neil Mehta
A WSJ analysis shows a small number of accounts on Polymarket and Kalshi—often pros using data-driven algorithmic trading—take home most of the winnings.
Caitlin Ostroff is a Reporter at The Wall Street Journal. She specializes in finance and trading, with a focus on algorithmic trading, global markets, and international finance. Caitlin's work has been featured in notable publications such as Financial News, MarketWatch, Barron's, and Yahoo Finance.
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Caitlin Ostroff's coverage indicates a focus on finance, particularly cryptocurrency and blockchain. She has shown interest in investment analysis, government announcements, and evolving stories related to the crypto industry.
She would be responsive to pitches offering insights from financial analysts or experts within the cryptocurrency space regarding market trends, regulatory developments, or significant business moves within the industry. Additionally, given her focus on investment analysis and evolving stories pertaining to cryptocurrencies like Bitcoin and companies such as Binance, she may also appreciate pitches that offer unique data-driven perspectives.
Since Caitlin does not have a specific geographic focus but covers international finance-related news with emphasis on cryptocurrency markets globally rather than locally-specific events; therefore global insights will likely resonate more with her.
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