There are plenty of “high-yield” quant projects in crypto, and quite a few have emerged riding the AI hype over the past two years. As investors, we don’t necessarily understand the technology, nor do we care much about the stories behind the projects. What we truly care about is: Is our capital safe? Is the risk manageable? What’s the actual return? These are the most critical factors when screening projects—and the key to profiting amid market volatility.
Recently, a new AI quant project called ZY Protocol is about to launch. After reviewing the project materials, one point stands out: the team claims that their AI large model + AIONEXON automated trading system has undergone four years of live trading, proving its technical viability. According to the documents, after years of iteration and stress testing—including extreme market events like the Russia-Ukraine conflict, the Fed’s aggressive rate hikes, and the collapse of Silicon Valley Bank—the system has delivered stable monthly returns of 15%–30%+, with a maximum drawdown below 12% and a Sharpe ratio above 2.5. All four years of real trading records are stored on-chain for public verification.
According to public materials, ZY Protocol was founded in 2021 and is headquartered in Kuala Lumpur, Malaysia. It is a decentralized finance infrastructure provider that integrates AI, blockchain technology, and traditional financial trading. The company focuses on international forex and digital finance, and is now fully expanding into AI Agent quantitative trading, with the Asia-Pacific region as its core strategic market.
ZYT is the native utility token of ZY Protocol, with a total supply of 10 billion and an initial benchmark price of 0.13 USDC.
The core team comes from Goldman Sachs, JPMorgan, Google DeepMind, and several top quantitative hedge funds, covering key areas such as financial risk control, AI large-model training, strategy development, and live execution, with an average of over 10 years of industry experience.
Where does the 15%–30%+ monthly return come from?
According to ZY Protocol’s published data, their AI large model + AIONEXON automated trading system has been running live for four years. They conducted two years of stress testing under extreme market conditions—including the Russia-Ukraine conflict, aggressive Fed rate hikes, and the Silicon Valley Bank collapse—and finally achieved stable monthly returns of 15%–30%+, with maximum drawdown below 12% and a Sharpe ratio above 2.5. On this solid foundation, they deployed the already-verified AI Agent quantitative trading system as an on-chain custody service.
To be honest, among all the AI quant projects I’ve encountered, this is the only one that first built the technology and accumulated live data before launching. Compared to others, it not only has real trading records to back it up but also truly delivers practical AI quant technology—not just a story. It’s definitely worth in-depth research.
What is the investment threshold?
Zero-cost mining machine + staking unlock – everyone can participate. The mining machine starts at zero cost. If you want to upgrade and increase returns, you can stake 3,000 ZYT to unlock full or semi-automated AI trading services, with daily USDC earnings settlement. Custody periods are 30 days, 180 days, and 360 days, with corresponding monthly returns of 15%, 21%, and 27%. Additional earnings can be obtained through direct referrals, indirect referrals, and team-based distributed fission rewards.
How about the risks?
First, on capital security: user custody funds are held in 3/5 multi-signature wallets, and the project has no direct withdrawal rights. The AI trading accounts have only trading permissions—no withdrawal rights.
Second, on market risk: AI trading accounts operate fully automatically, free from human emotional interference. If the single-day drawdown reaches 5%, the system automatically stops opening new positions. Additionally, preset pause, exit, and recovery mechanisms for extreme market scenarios protect users’ principal to the greatest extent.
All trading signals and earnings distributions are recorded on-chain, with monthly Merkle tree reserve proofs and historical signal hashes permanently anchored to the blockchain—allowing users to verify public data at any time.
Is it worth long-term investment?
Whether a project is worth long-term investment depends on its real earning power—something many mining projects lack. Let’s see how ZY Protocol achieves sustainable value appreciation and long-term investment appeal.
ZYT Allocation & Release:
· Mining: 40% (4 billion, linear output over ~5 years)
· Liquidity injection rewards: 15% (released upon injection, linear over 30 days)
· Team & development: 10% (locked for 2 years, then linear over 24 months)
· Liquidity pool: 15% (20% released at TGE, rest locked for 3 months then linear over 6 months)
· Ecosystem & team rewards: 20% (daily smart contract distribution)
ZYT Buyback & Burn + Support Mechanism:
A portion of daily custody service fees and withdrawal/swap fees are used to buy back and burn ZYT at market price. Even if service fees drop to zero on a given day, withdrawal fees still fuel buybacks, and the liquidity reserve pool provides additional support.
This economic model helps stabilize ZYT’s market price and curb inflation on secondary markets.
Furthermore, leveraging the same AI infrastructure, ZY Protocol is building an AI short-drama ecosystem—expected to produce 300 high-quality AI-generated short dramas annually. Beyond participating in AI quantitative trading, ZYT can also be used for investing in drama projects (earning USDC dividends), “watch-to-earn”互动 mining, and NFT trading. 10% of ad revenue from these dramas will be used to buy back and burn ZYT. Short dramas are one of the hottest global trends right now, and this AI entertainment ecosystem not only provides users with additional revenue streams but also enriches the real-world utility of ZYT, boosting its circulation and economic value.
ZY Protocol — AI-Powered Decentralized Finance, the New Species.
Only real profitability can survive the cycles.
