AIQuant

AIQuant.fun originated as a pivot from Telegram-based KOL-sniping bots into a full-stack web platform for intelligent agent-based trading. By transforming community-driven trading signals into AI-powered quant strategies, the team aimed to eliminate emotional bias and bring 24/7 automation to the crypto world.

The platform's mission is to democratize trading by giving every user the ability to build, test, and launch AI agents without writing code. These agents are powered by a robust framework combining live market analytics, social sentiment scanning, and customizable evaluation engines that automatically screen tokens for entry and exit.

Unique features like the Character Lab allow users to personalize each AI agent’s tone, personality, and behavior, blending trading efficiency with social gamification. AIQuant’s roadmap pushes further into territory like bonding curve-based quant ownership, tokenized agent access, and on-chain incentives—making it more than just a trading tool, but a living AI ecosystem. Learn more.

The development of AIQuant.fun is structured into two major phases. Phase 1, from October 2024 to April 2025, focused on building the core product from scratch. Key milestones include the integration of Privy.io wallets, the launch of the Evaluations Engine for token screening, and the debut of the Character Lab for agent personality configuration.

By March 2025, AIQuant had added major modules like the Performance Tracker (for portfolio analytics), Strategy Tuner (for backtesting and optimization), and Multi-Chain Paper Trading across Solana, BNB Chain, and Base. This culminated in the release of AIQuant Academy, an educational hub offering structured tutorials and playbooks.

Phase 2, running from May 2025 to December 2026, includes upcoming innovations such as bonding-curve based quant launching (Q3 2025), centralized exchange integration (Q1 2026), and eventual support for traditional stock markets (Q4 2026). AIQuant also plans to release tokenized quant ownership tied to performance, with agents unlockable once they hit a $250K market cap.

Explore the roadmap.

AIQuant.fun was founded by Marlon Williams, a technologist and entrepreneur focused on AI, finance, and automation. As the driving force behind the platform, Marlon leads the development of AI-powered autonomous trading agents that democratize access to sophisticated trading strategies. His work has been featured in multiple Web3-focused media outlets and pitch events.

Operating under the entity AIQuant Labs, a registered Delaware C-Corp, the team includes engineers, data scientists, and product designers who previously worked on Telegram-based KOL-sniping bots. These were eventually evolved into the more advanced AI Quant infrastructure. While other team member names are not publicly disclosed on the official site, the founder’s identity has been confirmed through press releases and public presentations.

As of now, there are no publicly listed external investors or venture capital firms backing the project. However, technology integrations with platforms like Privy.io and Coinbase AgentKit reflect a focus on secure onboarding and agent automation.

AIQuant.fun currently offers a Multi-Chain Paper Trading system, which serves as a risk-free environment for users to simulate trades across Solana, Base, and BNB Chain. This feature effectively functions as a testnet mode allowing users to evaluate strategies before live deployment.

Additionally, the platform has a structured rewards and referral system tied to its upcoming AIQ token generation event. Early users earn AIQ points based on activity and referrals, which will convert 1:1 during the token event. Users can also gain early feature access and staking multipliers by joining the waitlist and staking AIQ. Join early via aiquant.fun.