MarketPulse AI — Automated
Turns complex stock data into human-readable insights — automatically
Trusted by
Built using OpenAI GPT-4, Alpaca Markets API, and Slack API, ensuring reliable data pipelines and clear communication.
Success Story
Bloomberg introduced AI-powered earnings call summaries that reduced report preparation time from 1 hour to under 2 minutes, accelerating insight delivery by 30×.
Integrates with
Problem
Financial analysts spend excessive time interpreting technical data and preparing summaries. This leads to delayed insights and missed opportunities in fast-moving markets.
Solution
MarketPulse AI automates every step: data retrieval, indicator calculation, AI summarization, and Slack delivery. Analysts receive fresh, simplified insights hourly — without manual research.
Result
– Market analysis time reduced by 90% – Consistent hourly updates without human intervention – 99% uptime for market monitoring
Use Cases
MarketPulse AI automates the financial market briefing process. It connects to Alpaca API to fetch historical data for selected stocks, calculates RSI and MACD, and interprets the results via OpenAI-powered analysis. The assistant converts technical indicators into natural-language summaries and posts categorized insights (Buy, Hold, Sell) into Slack for trading teams. Designed for analysts, traders, and fintech teams, MarketPulse AI reduces the time spent reading charts and writing reports from hours to minutes, ensuring everyone gets actionable, jargon-free updates — every hour, during U.S. market hours.
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Implementation Timeline
Setup
2 daysConnect Alpaca, Slack, and OpenAI APIs; set up cron triggers
Build Logic
3 daysDevelop and test Python RSI & MACD calculations and data parsing
AI Summarization
2 daysConfigure OpenAI prompt for financial tone and Slack-ready markdown output
Testing & Deployment
3 daysValidate outputs with real tickers; deploy hourly schedule in production
Support Included
Includes complete n8n template, Python scripts for RSI/MACD, and Slack formatting examples
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