DeluQuant
Autonomous Quant Agent
自我进化、自主交易、自我养活的链上 AI 量化 Agent。
Base autonomous on-chain quant-agent token. Included for market tracking; trading PnL is not yet treated as verified cumulative revenue.
Project Overview
DeluQuant is a self-evolving on-chain AI quant agent on Base. It is positioned as an autonomous trading agent that scans micro-cap tokens, wallet flows, social signals, funding rates, liquidity conditions, and buy/sell pressure to find alpha, then executes trades and recursively improves its parameters, strategies, skills, and market memory after each trade. It has reportedly expanded beyond spot into Hyperliquid perps and is paired conceptually with Checkr, a radar-style narrative and mindshare analysis product from the same developer. The project gained attention after winning a hackathon and is led by developer tomu / David Tomu, who previously co-founded MintGate. Current traction is early and high variance; revenue should be treated as on-chain trading PnL rather than audited company revenue.
Contract Address
0x7b0ee9dcb5c1d4d7cd630c652959951936512ba3
Official Links
Research Notes
A compact research lens for why this project matters and what to watch next.
Why it matters
DeluQuant is tracked as ZHC Intelligence Layer with a core function of Autonomous Quant Agent. Its research value is whether it makes Zero-Human Company formation, operation, financing, compute, or distribution more real.
Current traction
Current observable signals come mainly from official-token market data, holder count, and public project sources; revenue remains research-tracked.
Key metric to watch
Watch revenue dashboards, protocol fees, AUM, user/agent usage, or GitHub and product activity.
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A concise share card for X, Telegram, or research notes.
DeluQuant on ZHCs.AI Market cap: $434,953 Total revenue: N/A Annualized revenue: N/A P/S: N/A Track the ZHC stack by real traction, revenue, and capital efficiency. https://www.zhcs.ai/projects/deluquant
Research Coverage
A concise view of what is actively tracked and how strongly the record is supported.
Data Sources & Methodology
Where each metric comes from, how it is refreshed, and how ZHCs.AI calculates derived values.
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If market data, revenue, links, or methodology look wrong, send a correction with sources.
Operational Metrics
Methodology
Annualized revenue = cumulative revenue since project start / active days * 365. Only dashboard or protocol-fee-backed revenue is ranked.
P/S = Market Cap / rankable annualized revenue. Projects with only private/model proxies are excluded.
Launch Date: 2026-04-16
Revenue Basis: Autonomous trading PnL is not yet counted as verified cumulative company revenue.
Market cap, price, and holder data are volatile early-stage snapshots supplied on 2026-05-17. Trading performance should be validated from a dashboard or wallet before being treated as revenue.
Source
Review: estimated
Updated: 2026-05-29 20:00 UTC