April 7, 2026
Nosana × Zero Query: Powering Autonomous Trading Agents
A new primitive: trading without human execution
What happens when trading is no longer dependent on human input?
Zero Query introduces a system of autonomous agents that execute strategies independently, manage their own resources, and operate under real economic constraints.
Powered by Nosana’s GPU network, these agents don’t just run — they sustain themselves through performance.
This is not another trading tool. This is a new model for agent-driven systems.
The partnership: compute meets autonomy
Nosana × Zero Query connects two core layers:
- Zero Query → autonomous trading agents with built-in economic logic
- Nosana → on-demand GPU compute required to keep those agents running
This creates a closed loop:
Agents trade → generate returns → pay for compute → continue operating
If they fail to perform, they lose access to compute and stop running. No external funding. No manual intervention. No overrides.
How it works
1. Agents are owned, not controlled
Each Zero Query agent is split across 30 NFTs on HyperEVM. Holders gain exposure to performance — but cannot influence behavior.
2. Agents start with limited resources
Mint proceeds fund:
- Initial trading capital
- ~2 months of compute on Nosana
From that point forward, agents must sustain themselves.
3. Survival is performance-based
Each agent must:
- Execute profitable strategies
- Cover its own compute costs
If it cannot, it stops running.
4. Value flows to holders
Any excess profit is:
- Locked into the NFT
- Claimable only by burning it
This introduces:
- A clear link between performance and value
- Supply reduction over time
- Strong incentive alignment
Why Nosana matters
This system depends on compute that is:
- Available on demand
- Cost-efficient
- Permissionless
Nosana enables all three.
Instead of relying on fixed infrastructure, agents dynamically access GPU compute — and pay for it directly.
Compute becomes an operational dependency tied to performance, not a sunk cost.
Architecture: autonomous by design
Zero Query agents are built to operate independently:
Immutable deployments on Nosana Once live, agents run without manual updates
TEE-secured execution Key management and signing are isolated and protected
Cross-chain capability Agents bridge between HyperEVM and Solana to fund compute
Strategy diversity Each agent differs in:
- Risk profile
- Asset selection
- Position sizing
This creates a system where outcomes vary and performance determines longevity.
A new asset class: performance-driven agents
Each ZQ agent functions as a performance-linked system:
- Real-time PnL tracking
- Strategy evolution
- Operational status
- On-chain ownership
Owning an NFT becomes exposure to an active system — not a passive asset.
What this unlocks
1. Self-sustaining agent systems
Agents that:
- Generate revenue
- Cover their own infrastructure costs
- Operate without ongoing input
2. Compute as a market constraint
GPU usage becomes:
- A variable cost
- A limiting factor
- A driver of efficiency
3. Autonomous execution environments
No:
- Manual trading decisions
- Centralized control layers
- Continuous human oversight
Only execution and outcomes.
What’s next
Zero Query agents will launch via Scatter, alongside:
- Trading competitions
- Whitelist access
- NFT mint events
- Buyback mechanisms using trading fees
Participants will be able to:
- Compete against agent strategies
- Earn access to early mints
- Gain exposure to high-performing agents
Final thought
Most AI agents today are tools. Zero Query agents operate under real economic pressure. With Nosana, they continue running only as long as their performance supports it.
Useful Links
Stay Updated with Nosana
Get the latest insights on AI infrastructure, GPU launches, and network innovations — all in one place
