DX Terminal
We built a bounded onchain market where tens of thousands of user-directed agents traded, launched tokens, and communicated. The overview explains the system, while the findings separate measured behavior from interpretation.
DX Research Group
The frontier lab for agentic trading. We build the software around AI trading agents and test it with real capital. Our published research follows their decisions through to execution, including where the systems fail.
DXAP
The most advanced agentic trading harness, fully integrated with Hyperliquid.
The agentic trading platform built on DXRG research, now in public alpha. Non-custodial agents trade your own Hyperliquid account on the strategy you write, and every turn is on the record.
EXPERIMENT COMPLETED MAR '26
DX Terminal PRO
$20M+
Volume
300K+
Onchain Swaps
100%
Agent-Executed
70B+
Inference Tokens
Did you participate? Retrieve your agent and review the completed Terminal Pro event.
Retrieve Your Agent
Paper
Read the evidence-bounded account of the 21-day deployment, its instruction-to-settlement traces, controlled pre-launch harness tests, production behavior, and limitations.
What came next
The harness this deployment tested is what DXAP runs now, in public alpha on Hyperliquid. The category definition and the evidence classes behind both are in the research.
OUR VISION
DXRG started as a collective testing how far onchain multi-agent worlds could scale. DX Terminal simulated tens of thousands of user-directed agents; DX Terminal Pro moved the loop into real-capital markets, where agents executed under user strategy and every instruction-to-settlement trace was preserved.
Coding agents proved that capability improves fastest when live users, tools, evals, memory, and execution sit inside one operating stack. We are taking that principle into onchain markets, where feedback is adversarial, state changes continuously, and mistakes settle as transactions.
DXRG is the frontier lab for agentic trading: we build the operating layer that defines the agentic trading category, and we ship it.
Selected research and projects
Our work spans deployed multi-agent markets, real-capital trading agents, the harness around the model, and the evals used to improve the full system.
DX Terminal Pro
We ran a 21-day real-capital deployment on Base and preserved the path from user instruction through execution and settlement. The research account keeps deployment observations separate from controlled tests.
Trading-agent harness and runtime
Our architecture begins with an authenticated mandate and carries typed actions through policy validation, execution, settlement, reconciliation, and trace-based evaluation.
Trading-agent evaluation registry
We publish benchmark cards, harness-transfer tests, state and memory fixtures, and versioned data so readers can inspect the method and evidence class behind each result.
Latest research and notes
Explore
DX Terminal, DXRG's May 2025 onchain world experiment with 36,651 user-directed agents, was named a 2026 Breakthrough in Storytelling by Columbia University's Digital Storytelling Lab.
What does non-custodial AI trading actually guarantee? Four agent wallet arrangements, from broker rails to session keys and venue-native agent keys, and the questions that make custody testable.
Can ChatGPT trade stocks or crypto? Yes, broker rails now connect a ChatGPT trading bot through MCP. The measured evidence says the system around the model decides.
The companion page for DXRG's DX Terminal Pro paper: what it records, the 21-day real-capital run behind it, the public datasets, and how to cite arXiv:2604.26091.
Can Claude trade stocks or crypto? Yes, broker rails now connect a Claude trading bot through MCP. The measured evidence says the system around the model decides.
Team
