I'm excited to share my latest project: an AI-Driven Trading Dashboard.
The goal is to help traders make sense of market noise by combining real-time price data with Natural Language Processing (NLP) to analyze market sentiment.
🧠The AI Component
I'm using a Sentiment Analysis model (via HuggingFace) to scan news headlines and social media feeds. The app then generates a "Market Mood" score (Bullish/Bearish) that updates alongside live price charts.
🛠️ The Tech Stack
- Frontend: React with Tailwind CSS for a sleek, dark-mode terminal UI.
- Backend: Fast API (Python) to handle the AI inference.
- Data: Integration with the Binance or Alpha Vantage API for live market data.
🚀 What's Next?
Currently, I'm working on a "Backtesting" feature where users can see how the AI sentiment would have performed against historical price movements.
I'd love to hear from anyone working in FinTech—what's the biggest challenge when scaling real-time AI models?
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