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.
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Maker
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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 events.
Curious how others here interpret social-driven market reactions.
Report
Maker
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.
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.