Product Roadmap

Building the operating system for autonomous on-chain trading agents.

Qwnt turns capital into autonomous trading intelligence: users deploy AI agents, allocate capital, and monitor performance while the system executes 24/7 across crypto markets today — with a clear path toward institutional and multi-asset rails.

View roadmap Use of funds

LiveProduction platform

$2.5M+Reported volume processed

24/7Autonomous agent execution

5Core strategy families

Execution timeline

From live trading product to autonomous trading infrastructure.

Phase 1Live nowIn production

Trading agent platform

User dashboard for deploying autonomous crypto trading agents
Wallet funding, capital allocation, live PnL, and strategy monitoring
Meme Sniper, DEX Arbitrage, Yield Optimization, Trend/Momentum, and Prediction Market Arbitrage modules
Reported $2.5M+ trading volume processed across live usage

Phase 2Q2 2026In build

AI intelligence layer

LLM-assisted trade filtering, token risk scoring, and narrative detection
Sentiment ingestion from market, social, and on-chain signals
Dynamic entry/exit logic and capital allocation recommendations
Post-trade analysis loops to improve strategy quality and reduce avoidable losses

Phase 3Q3 2026Planned

Agent marketplace and retention engine

Public marketplace for strategy discovery, performance history, and risk profiles
Referral system, leaderboards, copy-alpha flows, and portfolio-level automation
Improved onboarding for first funded wallet conversion
Strategy-level analytics for win rate, drawdown, AUM, and fee revenue

Phase 4Q4 2026Planned

Institutional rails

Institutional dashboard for managed capital deployment and reporting
Multi-agent portfolio controls, exposure limits, and compliance-friendly reporting
White-label agent funds and API access for funds, desks, and family offices
Enterprise capital deployment workflows for $10k–$100k+ allocations

Phase 52027Long-term

Multi-asset autonomous trading OS

Expansion beyond crypto into forex, equities, ETFs, and options volatility strategies
Custom models for historical trade prediction, anomaly detection, and reinforcement learning loops
Agent orchestration layer for routing capital across strategies and asset classes
Token only if strategically useful; core business model remains viable without one

Use of funds

Capital accelerates product depth, proof, and distribution.

AI/quant backend: model orchestration, historical trade datasets, and risk scoring
Engineering: execution reliability, latency, wallet flows, analytics, and security hardening
Growth: investor-grade social proof, content engine, referrals, and community acquisition
Institutional readiness: reporting, compliance-friendly dashboards, and enterprise sales materials

North star metrics

Measured by capital deployed, performance, and retention.

AUMCapital allocated to autonomous agents

Active funded walletsUsers with deployed capital

Daily volumeTrading activity across strategies

RetentionRepeat usage and redeployment

Strategy ROIRisk-adjusted performance by agent

Fee revenueSubscriptions, performance fees, and enterprise/API revenue

Investment thesis

Qwnt is not another trading bot. It is the infrastructure layer for AI agents that deploy, manage, and optimize capital.

Open live product