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Samuel Engleft a comment
Onething that surprised us during testing: tweets that generate large reply volume tend to have more persistent price impact than those with high like counts. Still exploring why.
TweetRipplesSee how tweets move markets in real time
Samuel Engleft a comment
We built TweetRipples after repeatedly seeing market moves explained only after the fact. Social posts from influential figures often coincide with sharp price reactions, but the discussion usually focuses on narratives rather than observable data. TweetRipples makes those moments visible by mapping tweets directly onto market charts, so traders can study what actually happens after social...
TweetRipplesSee how tweets move markets in real time
TweetRipples overlays influential tweets directly onto market charts,
so traders can observe how prices, volume, and volatility react after social events.
Instead of debating narratives, it focuses on what actually happens in the market
after posts from figures like policymakers, investors, and founders.
Built for traders, analysts, and anyone studying social-driven market reactions.
TweetRipplesSee how tweets move markets in real time