GAEA Ventures and K1 Research will co-host an AI trading-themed event "AI Meets the Chart" during KBW

GAEA Ventures x K1 Research

Alver Coffee Gangnam, Gangnam District, Seoul

2026

09/28

Pending

Event Introduction

GAEA Ventures and K1 Research will co-host the Horizon series event "AI Meets the Chart" on September 28 in Seoul, South Korea. Taking place during Korea Blockchain Week, the event will focus on the practical applications of artificial intelligence in trading. It is co-organized by Origins Network, D Network, UNIKEY, and Travix, with sponsorship support from Becker Ventures, Skydao, Oraclizer, Flap, XPIN Network, AITok, and KEYFLOW. Zest Protocol will also participate in sponsor speeches and a roundtable discussion.

The event will be held from 17:00 to 21:00 local time at Alver Coffee Gangnam in Gangnam District, Seoul, bringing together AI developers, quantitative researchers, and frontline traders to explore how AI is entering real trading workflows through keynote sharing, roundtable discussions, and open networking.

When AI can participate in technical analysis, strategy execution, and automated order placement, how should traders understand their own competitive advantages? The event will center on AI quantitative trading, agent-based trading frameworks, low-latency execution, and the boundaries of automated decision-making, discussing which steps are suitable to hand over to AI and which judgments still require human involvement.

According to the event agenda, Origins Network, UNIKEY, Travix, Zest Protocol, and AITok will participate in the roundtable discussion, while teams such as Oraclizer will also deliver presentations. There will also be a lucky draw featuring gold, department store gift cards, and eSIM cards, along with an evening networking session where attendees can continue exchanging ideas on products, research, and trading experience beyond the discussions.

As one stop in the Horizon series, "AI Meets the Chart" will facilitate exchanges around specific applications of AI and trading. Developers, researchers, and traders interested in participating can register through the event page.

Registration link: https://luma.com/5mgf0U76