EconPulse

EconPulse

Turn global economic noise into personalized trading signals

1 follower

Don't watch the whole world. Watch your world. Get personalized briefings and stop guessing how the Fed or NFP affects your assets. Most economic calendars are static lists of data. EconPulse is the first platform to bridge the gap between macro events and your portfolio. Powered by AI v2.4, we contextualize every release. We analyze news sentiment in real time, predict volatility with quantitative impact scores, and map specific risks directly to your tickers like NVDA or AAPL.
EconPulse gallery image
EconPulse gallery image
EconPulse gallery image
EconPulse gallery image
EconPulse gallery image
Free Options
Launch Team
Intercom
Intercom
Startups get 90% off Intercom + 1 year of Fin AI Agent free
Promoted

What do you think? …

Beyhan Gul
Maker
📌
Hey Product Hunt! 👋 As a trader and fintech AI developer, I’ve spent years staring at economic calendars, and I’ve always been frustrated by a specific gap in the market. We have plenty of data (raw numbers, forecast vs. actual), but very little intelligence. I built EconPulse because I wanted a tool that didn't just tell me "The Fed is speaking," but could quantitatively answer: "How does this speech historically impact the specific assets in my portfolio?" We built our v2.4 AI engine to solve this by combining two distinct layers: 1) NLP Sentiment Analysis: We don't just scrape headlines; our engine reads thousands of sources instantly to assign a weighted sentiment score (e.g., Bullish 82%) so you don't have to parse the noise manually. 2) Quantitative Impact Mapping: Instead of generic "High Volatility" warnings, we calculate a specific Impact Score (0-10) based on historical deviations and real-time sector sensitivity. If you are holding tech stocks like NVDA or banking majors like JPM (as seen in the screenshots above), EconPulse filters out the macro noise and only alerts you when your positions are threatened. We are live today with a Free Tier that lets you track your top 3 assets immediately. I’m happy to geek out about the NLP stack or trading strategies in the comments. I’d love to know: what data points do you currently find most difficult to correlate with your portfolio performance? Thanks for the support! 🚀