How AI Turns News into Trades

​Description:
In this talk, we’ll walk through how we can transform news articles into actionable stock and crypto trades using large language models and sentiment analysis. We'll explore how AI can extract key signals from unstructured news data, assess market sentiment, and support automated decision-making for trading strategies.

​Speaker:
Luka is a CTO at Hapttic with a strong focus on backend systems, AI-driven platforms, and large-scale web scraping. He works on building scalable infrastructure and systems that use AI for automation, data insight, and real-time decision-making. Recently, he's been working on a startup that applies AI to turn unstructured data—like news and social media—into trading decisions for stocks and crypto. His approach combines technical depth with a product-first mindset and a passion for solving complex, real-world problems with data.

Location:
Rooms Hotel Tbilisi, Central Room -1 floor (The main entrance, Chovelidze street side)