SOL/USDBTC/USDETH/USDJUP/USDBNB/USDARB-BOT-07+$1,240.21GRID-STP-04+$450.00MKT-NEUTRAL-01-$12.40SNIPER-03+$880.00SOL/USDBTC/USDETH/USDJUP/USDBNB/USDARB-BOT-07+$1,240.21GRID-STP-04+$450.00MKT-NEUTRAL-01-$12.40SNIPER-03+$880.00
Autonomous AI execution infrastructure for capital allocators.

Deploy capital into autonomous AI trading agents.

QWNT enables capital allocators to access AI-driven execution, risk management, and strategy automation across live financial markets.

QWNT provides AI-driven execution infrastructure. Trading involves risk, and past performance does not guarantee future results.

Trading Volume
$6.7M+
Processed across live QWNT activity
Agent Win Rate
73%–79%
Observed strategy range
Primary Markets
SOL · BNB · Base
Current multi-chain strategy coverage
Risk Controls
Policy gated
Drawdown, position, and execution limits
Traction

Live market infrastructure with expanding multi-chain coverage.

Primary activity currently runs across Solana, BNB Chain, and Base, with long-term expansion planned into forex, equities, derivatives, and broader financial markets.

Trading Volume
$6.7M+
Agent Win Rate Range
73%–79%
Primary Active Markets
Solana · BNB · Base
Long-Term Market Expansion
Forex · Equities · Derivatives
How it works

From access request to monitored allocation.

Institutional users evaluate strategy behavior through controlled pilots, risk controls, and performance reporting before scaling capital deployment.

STEP 1

Request Access

Progress through a controlled institutional pilot with transparency, reporting, and risk review.

STEP 2

Strategy Consultation

Progress through a controlled institutional pilot with transparency, reporting, and risk review.

STEP 3

Paper Allocation

Progress through a controlled institutional pilot with transparency, reporting, and risk review.

STEP 4

Live Pilot Allocation

Progress through a controlled institutional pilot with transparency, reporting, and risk review.

STEP 5

Scale Allocation

Progress through a controlled institutional pilot with transparency, reporting, and risk review.

Institutional use cases

Built for capital allocators, quant operators, and advisory workflows.

Family offices

Deploy controlled pilot allocations into AI-agent strategies with portfolio-level reporting.

Crypto funds

Monitor autonomous execution across Solana, BNB Chain, and Base with agent-level analytics.

Prop desks

Evaluate AI-agent strategies for execution speed, drawdown behavior, and market exposure.

Treasury managers

Assess risk-managed execution and allocation infrastructure before scaling exposure.

Risk and controls

Transparency, control, and reporting for autonomous execution.

Institutions need transparency, control, and reporting. QWNT gives allocators visibility into how autonomous agents deploy and manage capital.

verifiedMax drawdown limits
verifiedPosition size limits
verifiedStop-loss logic
verifiedManual override availability
verifiedAgent pause controls
verifiedRisk Guardian monitoring
verifiedProfit lock / reinvest modes
verifiedExposure by strategy and market
QWNT Institutional Pilot

Start controlled. Review weekly. Scale based on risk appetite.

Start with a controlled paper or live pilot allocation, monitor AI-agent performance, review weekly reports, and scale exposure based on performance and risk appetite.

Request access

Apply for institutional access.

Tell us about your organization, preferred pilot mode, and markets of interest. Our team will review qualified requests and schedule an institutional demo.

Markets of interest