I kept losing money trading stocks and got tired of reading endless news, so I built an AI to do it for me. It turns news and SEC filings into daily market reports and per-ticker insights, showing only key takeaways instead of raw articles. Includes daily summaries, on-demand analysis, and ETF insights. Uses DIA/SPY/QQQ proxies and 15-min delayed data.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hey everyone 👋 I built this after repeatedly losing money trading stocks and realizing most of my time was spent just reading and interpreting news. The goal wasn’t to “predict” the market, but to reduce the time spent processing information. It takes in news and SEC filings, then generates structured daily summaries so you can quickly understand what actually moved the market. One thing I struggled with was balancing cost vs performance — real-time generation was too expensive, so I switched to a “generate once + cache” model. Still a lot of rough edges since I built this solo, but it’s been genuinely useful for my own workflow. Would love to hear: - how you currently research stocks - whether you rely on news, data, or something else Happy to answer any questions about the build, infra, or tradeoffs!

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Rallypi | 랠리피

Stop reading stock news — get AI summaries instead

Stop reading stock news — get AI summaries instead