DexTrader.ai, a platform developed by AIQuant Labs, on Thursday announced the launch of a machine-learning–driven trading system that combines decentralized exchange (DEX) execution with access to tokenized real-world assets, marking one of the first attempts to merge automated crypto trading and traditional asset exposure entirely onchain.
What Happened
The Atlanta-based firm said the platform is designed to address two challenges common to crypto investors: reacting to rapid price movements across DEX markets and finding reliable diversification during periods of heightened volatility.
DexTrader.ai integrates an ML-powered evaluation engine, using boosted tree models and reinforcement learning, with tokenized instruments such as U.S. Treasuries, equities, corporate bonds, and gold.
According to the company, the trading system assesses crypto tokens using more than 80 criteria, including liquidity patterns, technical indicators, and wallet-level behavior, before routing trades directly through decentralized exchanges on Solana (SOL), Base, and BNB Chain (BNB).
All activity occurs under self-custody, with no centralized order routing.
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Why It Matters
Founder Marlon Williams said the goal was to replicate capabilities typically found in institutional trading environments while keeping execution fully onchain.
“We built an evaluation system that rivals the infrastructure used by large trading desks, powered by machine-learning models trained on extensive datasets, while removing centralized exchange risk,” he said.
DexTrader.ai runs on Google Cloud infrastructure and processes terabytes of market data for real-time decision-making.
The system uses queue-based pipelines for trade evaluation and BigQuery ML for continuous model retraining.
Users begin by completing a short risk assessment that allocates capital between active DEX strategies and more stable tokenized asset portfolios.
Funds are deposited directly from a connected wallet, after which the ML system executes trades and manages rebalancing without intermediaries.
The company plans to introduce a governance token in 2026 that will support protocol decision-making and reward platform participants.
Additional features under development include new economic mechanisms such as a bonding curve and expanded automation tools.
DexTrader.ai is part of a broader trend of platforms attempting to merge real-world assets with algorithmic crypto trading, an area that has seen increased interest as tokenization infrastructure matures and decentralized execution becomes more widely adopted.
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