AlphaTrade AI

AlphaStream is a full-stack financial analytics application designed to act as an autonomous, 24/7 AI financial analyst. Built using Next.js, the platform bridges the gap between massive, unstructured web data and actionable market intelligence by automating the entire pipeline of stock analysis—from data collection to semantic storage and contextual synthesis. The core infrastructure operates through two beautifully synchronized backend engines: 1. The Autonomous Data Ingestor (The Memory) Operating silently in the background on a scheduled serverless cron job, AlphaStream dynamically pings the Bright Data API to scrape the latest live financial news, press releases, and market transcripts for tracked equities (e.g., NVDA). This raw text is instantly passed to Google Gemini (1.5 Flash) to strip away market noise, outputting a real-time market sentiment score (0–100) and a concise text summary. The structured sentiment score is saved to Google Cloud Firestore to power real-time frontend charts, while the summary text is vectorized and indexed inside a Pinecone Vector Database for long-term semantic memory. 2. The On-Demand RAG Engine (The Analyst) When a user requests an investigation into a stock ticker, the on-demand Retrieval-Augmented Generation (RAG) engine springs to life. The app vectorizes the query and performs a semantic search across the Pinecone index, pulling the top five most contextually relevant news segments matching that stock's recent timeline. This hyper-targeted context is fed directly to Gemini, which synthesizes the data into a rigorous, three-paragraph professional investment thesis. By restricting the AI's knowledge base exclusively to the scraped vectors, AlphaStream completely eliminates AI hallucinations, grounding every report in cold, hard, up-to-the-minute data. The final report is saved back to Firestore and immediately streamed to the user's dashboard.