DeluQuant
Autonomous Quant Agent
DeluQuant is a self-evolving on-chain AI quant agent on Base.
Base autonomous on-chain quant-agent token. Included for market tracking; trading PnL is not yet treated as verified cumulative revenue.
A fast judgment layer for token validity, revenue quality, ranking eligibility, and review freshness.
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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.
Entity timeline
A compact operating history of launch, market visibility, revenue proof, and ranking maturity.
Project launch tracked
DeluQuant has a tracked launch date in the platform dossier, used to judge revenue age, execution stage, and maturity of the operating loop.
Official token market tracked
The official token now has tracked market cap, price, and market visibility, forming the baseline for valuation and capital-efficiency analysis.
What to watch next
The next milestone that would most improve confidence, valuation clarity, or strategic relevance.
Add the first public revenue proof
The most important next step is not price action, but the first cross-checkable revenue, protocol-fee, AUM, or dashboard proof.
Recommended first read
The single best research note to read before going deeper into this project.
ZHC Definition and Timeline: From One-Person Unicorns to Zero-Human Companies
A thesis-driven definition of Zero-Human Companies as the next company primitive: AI executes the work, Web3 coordinates ownership and capital, and revenue proves the loop is alive.
Related research
Core reading for understanding where this project sits in the ZHC stack.
Not ranked by P/S
This project is tracked, but P/S is unavailable because verified revenue is missing, revenue is not public, or the token/market data is not strong enough for valuation ranking.
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DeluQuant on ZHCs.AI Market cap: $118,345 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
Data Sources & Methodology
Where each metric comes from, how it is refreshed, and how ZHCs.AI calculates derived values.
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: 2026-07-13 21:58 UTC