Nansen Unveils AI-Driven Tools for Crypto Trading on Base and Solana
Ecosystem/Tech

Nansen Unveils AI-Driven Tools for Crypto Trading on Base and Solana

Nansen introduces autonomous trading features enabling users to execute trades via natural language processing without traditional charts.

Nansen has introduced AI-driven cryptocurrency trading tools that allow users to execute trades simply through conversational commands. This marks a significant shift from traditional trading methods involving charts and order books.

The new feature enables users to trade using the Nansen mobile application, aimed at making crypto markets more accessible for retail traders. Nansen AI integrates on-chain analytics and offers actionable insights to assist traders before executing their transactions in a style defined as “vibe trading.”

AI Trading Implementation

Initially, the trading features will be available for the Base and Solana blockchains. Nansen’s proprietary on-chain database includes extensive blockchain address data, thus aiming to enhance crypto market analysis compared to generic AI systems like Google’s Gemini and OpenAI’s ChatGPT.

“For years, Nansen has concentrated on revealing high-quality on-chain signals for investors,” stated Alex Svanevik.

“This launch allows users to act on those insights directly within our product.”

As part of its strategy to facilitate cross-chain trading between Solana and Base, Nansen has collaborated with decentralized exchanges like Jupiter and crypto exchange OKX, while also leveraging the services of cross-chain protocol LI.FI.

Trading will be conducted through an integrated Nansen Wallet, benefiting from Privy’s self-custody wallet technology. This feature will be available to users starting from Wednesday, although specific jurisdictions, including Singapore and parts of Ukraine, will be excluded due to regulatory constraints.

Nansen AI agents claim to outperform leading chatbots in on-chain analysis related to wallet identification and portfolio analysis, boasting substantial quality scores compared to conventional AI systems.

In an evolving landscape, Nansen aims to close the gap between high-quality analytics and execution capabilities, enhancing the trading experience for users.

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