Summary
Multi-asset investment and trading platform Pluang plans to publicly launch its agentic trading in mid-August, currently running it in a limited beta or whitelist system. Pluang Agentic Trading allows users to directly connect AI assistants to a user's live, regulated investment account — enabling them to instruct ChatGPT, Anthropic's Claude or Google's Gemini to review their portfolio, run investment research and execute real trades across various assets through natural conversation.
Key Facts
- Pluang plans public launch of agentic trading in mid-August; currently in limited beta/whitelist
- Agentic trading: investing through an AI assistant that can analyze, research and execute buy/sell actions
- Every transaction requires final user confirmation
- Users can connect ChatGPT, Claude or Gemini to live, regulated investment account
- Builds on Aura AI, Pluang's in-app AI analysis (claimed first in Indonesia), extending from insight to execution
- Layered safety protocol: AI proposes an action, user decides, platform executes
- Co-founder Claudia Kolonas: "building safeguards that prevent AI from making wrong or unauthorized transactions; safeguards must be embedded at infrastructure level"
- Global platforms have opened similar AI-assistant connections to US investors since early 2026
- Part of Indonesia's national push for financial literacy
- Marketing director Andreas Agung Hendrawan: an investor in Jayapura or Jember holds "the same caliber of analysis" as anyone in Jakarta or world-class traders
Why It Matters
Pluang's agentic trading platform marks a significant milestone for Indonesia — the first such offering in the country — bringing AI-powered investment execution to a market where retail investors have historically lacked access to institutional-grade analysis. The platform's approach, allowing users to connect their own AI assistants (ChatGPT, Claude, Gemini) to a regulated investment account, democratizes access to research and execution. The emphasis on safety — layered protocols where the AI proposes and the user decides, with safeguards embedded at infrastructure level — addresses the key concern of agentic finance: preventing unauthorized or erroneous transactions. For the broader fintech sector, Pluang's launch signals that agentic trading is expanding beyond the US into Asian markets, with implications for how retail investors interact with AI and how fintech platforms design safety layers for autonomous financial agents.