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View all search resultsAgentic trading is a technology for investing through an artificial intelligence assistant that can analyze, research and execute buy/sell actions in an active account, where every transaction requires final user confirmation.
ulti-asset investment and trading platform Pluang plans to publicly launch its agentic trading in mid-August and is currently running it in a limited Beta or whitelist system.
“Quality investment analysis has always been the privilege of those closest to the information, professional financial institutions, research subscriptions, or in financial centers,” Pluang marketing and commercial director Andreas Agung Hendrawan said in press statement.
“Pluang Agentic Trading opens the floodgates: an investor in Jayapura or Jember will hold the same caliber of analysis, and the ability to act on it, at their fingertips as anyone in Jakarta or even world-class traders in Singapore and Hong Kong.”
Andreas said it was Pluang's mission to democratize wealth creation made tangible, and a direct contribution to Indonesia's national push for financial literacy.
Agentic trading is a technology for investing through an artificial intelligence assistant that can analyze, research and execute buy/sell actions in an active account, where every transaction requires final user confirmation.
Pluang Agentic Trading allows users to directly connect AI assistants to a user’s live, regulated investment account, the platform said recently. Users will be able 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 a natural conversation.
The feature was introduced through a Beta-controlled release environment for a limited whitelisted group of users.
Pluang Agentic Trading builds on Aura AI, Pluang's in-app AI analysis, claimed to be the first of its kind in Indonesia, by extending from insight to execution.
Global platforms have already opened similar AI-assistant connections to United States investors since early 2026.
On security, Pluang said it adopted a layered safety protocol in which the AI proposes an action and the user makes a decision before the platform executes that decision.
“The hardest challenge is not making AI place orders, but building safeguards that prevent AI from making wrong or unauthorized transactions; safeguards must be embedded at infrastructure level, not depend only on model algorithms; user fund safety is the priority,” Pluang cofounder Claudia Kolonas said.
“We built the safety layer first, precisely because the stakes are real.”
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