X develops smart cashtags for crypto-aware tickers

Social media platform X is building a new feature called Smart Cashtags to link ticker symbols in posts to specific assets and real-time prices. The tool aims to reduce confusion in crypto discussions amid tensions with Crypto Twitter. A release is targeted for February 2026.

X, the social media platform formerly known as Twitter, is advancing a feature named Smart Cashtags to enhance financial discussions, particularly in cryptocurrency circles. Nikita Bier, X's head of product, announced the development, noting that it will make cashtags 'crypto-aware' by tying them directly to specific assets or smart contracts. This comes one day after backlash from Crypto Twitter over reduced engagement and visibility for crypto-related content on the platform.

Traditional cashtags often lead to ambiguity, especially in crypto where multiple tokens share the same symbols across blockchains, wrapped assets, or forks. Smart Cashtags address this by allowing users to specify exact assets, enabling taps on timelines to reveal real-time price data and aggregated posts for that precise item. Bier emphasized that financial decisions worth hundreds of billions of dollars are already influenced by content on X, underscoring the need for precision in market conversations that drive trading.

The feature builds on X's prior integrations of live price displays through market-data partnerships. It could improve signal quality for traders relying on social sentiment, reducing mix-ups that lead to manipulation or unintended price movements. While speculation arises about potential expansions like trading interfaces or wallet integrations, Bier offered no confirmation, only acknowledging the interest.

Currently in development, X is gathering feedback ahead of a public release next month, potentially in February 2026. Though it adds a verification layer to curb noise during volatile periods, concerns linger about amplifying misleading content if safeguards are insufficient. X has stated that trust mechanisms will evolve with the feature.

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