Companies

AYC Fund

aycfund.com

AYC Fund runs AI-driven systematic trading strategies for qualified digital-asset investors.

HQSeoul, Not applicable (South Korea), South Korea
Employees1-50
Jobs checked 4d ago
Specialization
Not classified
Business
Investment
Market
Financial Services
Ecosystem
Applications
Customers
Not classified
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Investment
Specialization
Not classified
Market
Financial Services
Customers
Not classified
Delivery models
Not classified
Revenue models
Not classified
Listing status
Not classified
Latest equity round
Not classified
Reported funding amount
Not classified

About

AYC Fund is a YC-backed AI quantitative trading firm that combines machine-learning research, quantitative signals, and automated execution for digital-asset investing. It serves qualified clients through a dedicated investment vehicle, differentiating itself through systematic AI-driven trading, defined risk parameters, segregated client assets, and operator oversight.

Market

AYC Fund competes in automated crypto trading and managed systematic digital-asset investing. Its positioning is more private and institution-oriented than self-service bot platforms: it combines machine-learning research, quantitative signals, automated multi-exchange execution, defined risk limits, segregated client balances, and operator oversight through a qualified-client vehicle. Competitors such as 3Commas, Cryptohopper, Coinrule, Bitsgap, and Mudrex primarily offer user-configured trading bots, strategy marketplaces, or algorithmic portfolios.

Target Customers

AYC Fund targets qualified digital-asset clients and institutional capital allocators seeking managed, systematic crypto exposure rather than a self-service retail trading tool. Customers must pass fit, suitability, and KYB reviews; the evidence does not specify a customer company-size range.

At a Glance

Problem

Digital-asset capital is difficult to deploy systematically because markets are fast-moving, noisy, and operationally demanding. AYC Fund addresses this need by providing automated crypto trading tools and real-time pump alerts, helping investors convert market signals into a disciplined trading process instead of monitoring and executing every decision manually.

The main use case is a qualified investor seeking exposure to a systematic digital-asset strategy with explicit risk controls. The economic trade-off is potential investment return versus drawdown and loss of principal; AYC Fund highlights segregated client assets, defined capital and drawdown limits, and the risk inherent in investing. Its materials do not disclose fees, assets under management, or other recurring economics.

Product / Service

AYC Fund combines machine-learning research, quantitative signal models, and fully automated execution to operate a private systematic digital-asset program. Clients access the strategy through a dedicated investment vehicle, while continuous operator oversight and defined risk parameters are intended to provide disciplined execution and limit uncontrolled exposure.

This is a private, qualified-client delivery model rather than a retail trading community or public support channel. Prospective clients go through a fit or suitability review before receiving detailed materials, and participation is subject to definitive documentation. The benefit is outsourced access to AI- and quant-driven execution without requiring clients to build their own trading infrastructure or manage signals continuously.

Market

AYC Fund competes in the AI-native crypto hedge-fund and systematic digital-asset investment category, within the broader crypto, Web3, and financial-services markets. The available materials do not name direct competitors; Bybit appears as a trading-contest and ecosystem reference rather than an explicitly identified competitor. AYC Fund is positioned as a private investment program for qualified clients, not as a mass-market trading-software product.

The company has early institutional and ecosystem traction: Y Combinator lists it as an active AI-native crypto hedge fund founded in 2021 and part of the Winter 2022 batch, with headquarters in Seoul. AYC Fund presents a Bybit AI trading-contest result of a 14.82% verified 21-day return and a No. 1 ranking, and third-party funding data reports a $500,000 raise. The available evidence does not establish whether the company is pre-revenue or generating management or trading revenue.

Founders & Leadership

MJ KimFounder
Founder/CEO

Funding History

2022-01
Seed (YC Winter 2022)$500K

Y Combinator, Olive Tree Capital, Strong Ventures, TA Ventures

Recent News

2026-07-28other
Crypto / Web3 Startups funded by Y Combinator (YC) 2026 — AYC Fund listing

Y Combinator’s 2026 Crypto/Web3 directory lists AYC Fund as active, with one employee in Seoul, South Korea, and describes it as an AI-native crypto hedge fund.

2026-01-23product_launch
DSA-VWAP [HA Embedded] v2.2 - No Lookahead

AYC Fund published version 2.2 of its DSA-VWAP TradingView strategy, combining Heikin Ashi smoothing with Dynamic VWAP and highlighting a no-repainting update. The script is invite-only for AYC Fund members.

2025-10-07other
2026 Best Y Combinator Startups in South Korea

StartupFrequency described AYC Fund as an online crypto fund supporting YC founders in expanding their crypto projects into Asia and identified it as an active YC W22 startup.

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Business Model

AYC Fund appears to monetize by operating a private systematic digital-asset investment program for qualified clients through a dedicated vehicle. Its public materials do not disclose specific management fees, performance fees, pricing, or revenue splits.

Products

AYC ALGO-100 Bot: a fully automated system monitoring the top 100 crypto pairs and generating long/short signalsPrivate systematic digital-asset program accessed through a dedicated investment vehicleAI/quant execution capabilities, including automated trading, monitoring, risk controls, and portfolio visibility

Customers

No publicly named enterprise customers disclosed

Tech Stack

Machine-learning research and AI quantitative modelsQuantitative signal modelsReal-time crypto market and chart-data monitoringAutomated exchange execution through institutional/KYB accountsPosition-sizing, drawdown, and capital-limit controlsOperator monitoring, escalation, post-trade review, and private dashboard/alerting

Competitors

3Commas
Cryptohopper
Coinrule
Bitsgap
Mudrex