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IO Trader Integrates LexAI Network to Power AI-Driven OnChain Trading
Source: CryptoNewsNet Original Title: IO Trader Integrates LexAI Network to AI-Powered OnChain Trading Original Link: IO Trader has announced its strategic partnership with LexAI Network, a Web3 artificial intelligence (AI) infrastructure protocol that gives users real ownership by connecting blockchain and AI. The primary objective of this strategic partnership is to offer numerous facilities that enable users to easily create, utilize, and own their own AI assistant. IO Trader is a trading-focused decentralized platform for merging prediction markets with leveraged trading for real-world outcomes.
Both partners are aiming toward a secure, smarter, more efficient, and accessible trading opportunity for users. IO Trader is purposefully combining blockchain transparency, advanced trading tools, and automation powered by AI. Additionally, LexAI Network enables users to create, utilize, own, and control their AI agents.
IO Trader and LexAI Network to Power OnChain Trading with User-Owned AI
IO Trader and LexAI Network integration customizes AI assistance into the onchain trading workflow. Both partners are entirely built on Web3 technology that positions the platforms to deliver user satisfaction. This collaboration brings AI-driven trading automation and analytics.
Moreover, this alliance reduces the risk for fake ownership and ensures transparent and secure AI assistance with certified ownership proof. Users can freely create and use AI assistance without any complexities.
A Strategic Alliance Shaping the Future of AI-Driven Web3 Platforms
The collaboration of IO Trader and LexAI Network unlocks many opportunities for users’ development and growth in the field of AI. The prediction feature of IO Trader is particularly helpful for users in making informed decisions.
In essence, this represents a successful effort by both platforms toward upgrading user capabilities in this advanced landscape. Both platforms are committed to introducing more innovative features in the future.