AI Reshapes Market Power: Nivex Leads the Conversation in Miya Lounge Episode 2


On October 30, the second episode of the “Miya Lounge” online roundtable — proudly sponsored by Nivex — concluded successfully.

Under the theme “How AI Reshapes Market Power”, industry leaders explored how artificial intelligence is transforming the structure of modern trading — from algorithmic execution and risk management to liquidity strategies and user experience.

Becky Cai, Co-Founder and CMO of Nivex, delivered keynote insights on how AI is redefining exchange competition and shared the platform’s latest progress in building an intelligent trading ecosystem.

1. AI Is No Longer a Tool — It Is a Market Participant

Opening the panel, Becky Cai pointed out that AI has evolved beyond being a trader’s instrument; it is now an active participant in the market itself. She noted that AI already plays a vital role in price discovery, liquidity coordination, and risk management, signaling a fundamental shift in how exchanges compete.

“Today, AI doesn’t just help people trade — in many ways, it’s already trading with them,” she remarked.

From its inception, Nivex has pursued a dual-core vision of “AI-driven + Web3-connected.” The platform currently operates 69 AI strategy models, covering multiple trading types and risk-control scenarios. Its flagship product — the AI Institutional Copy-Trading System — combines algorithmic intelligence with human oversight to deliver high-precision, low-latency, dynamically managed trading for both professionals and newcomers.

“The best model isn’t 100% AI. It’s about 80% AI plus 20% human intervention. Humans understand emotion and narrative; AI executes faster and more rationally.”

2. From Algorithms to Experience: The Dual Evolution of Smart Exchanges

When discussing Nivex’s roadmap, Becky emphasized two parallel directions:

  1. Algorithmic Intelligence Layer – Continuous optimization of execution strategies, matching engines, and real-time risk-monitoring models.
  2. User Experience Layer – Developing “AI that understands users,” where systems learn from trading habits and risk preferences to personalize strategy recommendations.

Our goal is to make AI a partner for traders — not their replacement.AI can make markets smarter, but the steering wheel should always remain in human hands.

3. Guest Consensus: AI Builds the Base, Humans Ignite the Flame