What To Know:
- Nansen will open Android beta access to its AI trading agent for Pro users next week, enabling research, analysis and on-chain execution through natural conversation.
- The platform will support 25 EVM networks at launch and operates as a self-custodial, AI-assisted trading interface built on more than 500 million labeled wallet addresses.
- The rollout comes amid a broader rise in AI-powered trading tools, with Bitget recently launching seven AI trader avatars as next-generation strategy models.
Nansen CEO Alex Svanevik announced this week that it will begin beta testing an agentic AI trading product on Android for Pro subscribers. The product, described by Nansen as an AI agent capable of reading live feeds from major chains and acting on labeled wallet intelligence, will let users move from discovery and research straight into trade execution inside a self-custodial environment.
Nansen AI Trading Android Beta for Pro Users Soon
The timing of the rollout follows public signals from the company during Binance Blockchain Week, where CEO Alex Svanevik framed the coming wave of AI-driven trading products as both inevitable and fraught. Svanevik said the sector will see a proliferation of “AI agency trading” offerings in 2026, but that a large majority, he estimated 80 to 90 percent, will underperform and even cost users money because of weak data understanding and model misjudgments. That warning underpins much of Nansen’s approach to the new agent.
At the core of Nansen’s pitch is its dataset. The company points to more than 500 million labeled addresses and real-time on-chain coverage across major blockchains as a source of competitive advantage. The agent will surface smart-money flows, flagged addresses, and attribution signals through natural conversation, and then prepare orders that users can approve and sign through embedded, self-custodial wallets. The initial release will support Ethereum and other EVM networks, with 25 blockchains listed among the first wave.
Nansen’s own product team frames the interface as an answer to the fragmentation that has kept many retail users on centralized exchanges. The company says the agent replaces complex dashboards and multiple apps with a conversational layer that handles discovery, due diligence, and execution. Execution will remain gated: users must give final confirmation before a trade is submitted on-chain, a design choice that Nansen calls an AI co-pilot model.
The company is explicit that the market will be messy. General-purpose large language models can produce confident but incorrect outputs, and this risk scales when an agent touches money. To mitigate that, Nansen says it runs rigorous evaluations against internal ground-truth datasets, enforces quality assurance workflows, and is investing in security and new certifications. Those controls form the operational thesis: superior data plus disciplined evaluation will separate robust products from those that disappoint.
Industry reactions have been mixed. Some observers welcome easier on-chain access; others worry about new attack vectors and the prospect that agents can be manipulated if their data feeds are gamed. Nansen’s counterargument is straightforward: specialized, labeled on-chain data and internal testing reduce hallucination risk and make the agent more resilient than a general LLM plugged into public feeds. The company has been testing internally and publicly since September, when it first disclosed plans for a mobile AI trading interface.
AI-driven trading tools have been gaining momentum across the industry. Earlier this year, Bitget, one of the largest global crypto exchanges, introduced seven AI-powered trading avatars as part of its assistant platform, GetAgent. The initiative aligns with the exchange’s broader strategy of enabling more adaptive, data-backed trading as market volatility persists.
The newly launched avatars, Steady Hedge, Majors Momentum, Altcoin Turbo, CTA Force, Infinite Grid, Dip Sniper, and DeepSeek (base model), are each built around distinct trading philosophies. Bitget said the lineup spans a spectrum of approaches, from risk-managed hedging and blue-chip price trend following to high-leverage altcoin plays, reversal-based setups, and fully automated execution frameworks.
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