I built an AI bot that reads market news and predicts sentiment instantly!
In this tutorial, you’ll see how to use FinBERT, a deep-learning model trained on real financial reports, to perform sentiment analysis directly from live news headlines.
You’ll learn how to:
– Fetch live financial headlines (Gold, Oil, Tech Stocks) using Python
– Analyze sentiment with FinBERT and VADER
– Generate a daily market sentiment score (bullish / bearish / neutral)
This bot lets traders automate their pre-market news analysis and detect early clues before big price moves.
○○○ Free Python Script Included, download it below and customize it for your own assets!
╔═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦═╦══╦═╦═╦══╦═╦═╦══╦═╦═╦
🔗 Resources & Links:
————————————–
• My Algorithmic Trading Courses → https://codetradingcafe.com
• 📘 My Book: “Algorithmic Trading with Python” → https://a.co/d/6woMBHt
• Free Python Code (GitHub) → https://github.com/ZiadFrancis/NewsSentimentScanner
Happy learning, happy coding ☕
╚═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩═╩