Fighting Repeatedly, Losing Repeatedly, Where Does Machi's 'Endless Supply of Money' Come From?

marsbitPublished on 2025-12-16Last updated on 2025-12-16

Abstract

Last night, the crypto market witnessed another dramatic liquidation event. Prominent investor Jeffrey Huang (known as "Machi Big Brother") saw his long positions on Hyperliquid get liquidated 10 times in rapid succession. His account balance plummeted from $1.3 million to just over $53,000—wiping out more than $1.25 million. This is not his first major loss. In October 2024, a $79 million ETH long position was liquidated, resulting in a net loss of over $10 million and a $54.5 million profit reversal. Despite these massive losses, Huang repeatedly replenishes his margin, often within days, and continues high-leverage trading, frequently using 15x to 25x leverage. The article explores the source of his seemingly endless capital. It identifies three main layers: 1) Traditional tech exit liquidity from the sale of his shares in 17LIVE; 2) Capital from early, controversial crypto projects like Mithril (MITH) and Cream Finance (CREAM); and 3) A sophisticated NFT liquidity engine where he strategically sells high-value NFTs (like Bored Apes), farms airdrops (e.g., Blur), and uses NFT-backed lending to generate constant streams of ETH and stablecoins. His ability to absorb millions in losses suggests a deep, diversified liquidity reserve, estimated at over $100 million. He further refreshes this capital by launching new token projects, like MACHI on Blast. For ordinary investor, his story is a stark warning about the extreme risks of high-leverage trading and the importance of s...

Author: Clow

Produced by: Plain Language Blockchain

Last night, the crypto market witnessed another heart-stopping series of liquidations.

Well-known investor Jeffrey Huang (aka "Machi Big Brother") saw his long positions liquidated as many as 10 times in a short period on the decentralized derivatives platform Hyperliquid. His account balance plummeted from the previous $1.3 million to just $53,178—less than 5% of its original value.

This is the cruelest scene of high-leverage trading: over $1.25 million in funds evaporated within hours.

More ironically, just days before, he had injected 254,700 USDC into Hyperliquid, increasing his ETH long position to 11,100 ETH, with a total value exceeding $36 million. Yet, just a few days later, this newly injected capital, along with previous reserves, was once again crushed in the high-leverage meat grinder.

If the story ended here, it would be just another tragic ending for a high-leverage gambler.

But this is not the first time he has performed such "god-like operations." As early as October 10, 2024, he experienced an even more dramatic liquidation: a $79 million ETH long position was forcibly liquidated, his account swiftly reversed from a profit of $44.5 million to a net loss of $10 million, resulting in a profit-and-loss reversal of over $54.5 million.

Yet, after each previous liquidation, he would immediately replenish his margin and embark on the next high-stakes gamble: depositing $199,800 on December 12, $275,000 on November 5, and injecting another $254,700 just days ago......

Even more ironically, while media widely reported his massive losses, Huang shared a poolside photo on Instagram with the caption: "California Love."

Last night's 10 consecutive liquidations sent his account balance to rock bottom again—just $53,178. But based on his past behavior patterns, it's highly likely that it won't be long before he injects new funds and restarts his high-leverage gambling.

This raises a question everyone wants answered: After repeatedly suffering tens of millions of dollars in losses, and still being able to mechanically replenish margin again and again, where does his money actually come from?

01. The Crazy Leverage Game

To understand the source of Huang's funds, one must first see his trading style in the crypto market—extremely aggressive.

He is mainly active on the decentralized derivatives exchange Hyperliquid. This platform uses the HyperBFT high-performance consensus mechanism, enabling "millisecond-level matching speeds." It sounds cool, but during periods of high market volatility, this speed also brings structural risks: high-leverage positions can be liquidated quickly and mechanically, leaving traders "no chance to escape."

Huang偏偏 loves this kind of极限 operation. On-chain data shows he frequently uses extreme leverage of 15x to 25x for ETH long operations. This leverage倍数 means the market only needs to drop 4-6% for his entire margin to be wiped out. And last night's consecutive 10 liquidations were a true portrayal of this extreme leverage during剧烈 market波动.

Behind this疯狂 trading模式 lies a shocking fact: no matter how much he loses, he can immediately replenish the margin and continue gambling. From the $54.5 million profit-and-loss reversal to last night's account balance nearly zeroing out, after each huge loss, he has been able to inject hundreds of thousands of dollars in a short time, even重新 establishing positions worth tens of millions of dollars.

This behavior of immediately deploying new margin after suffering tens of millions in losses proves that these losses do not stem from the depletion of his overall net assets, but are drawn from a specially allocated, highly liquid trading reserve.

So, how was this seemingly bottomless pool of funds established?

02. Where Does the Money Come From? Unveiling the Three-Tier Capital Structure

Tier 1: "Anchor Capital" from Traditional Tech

Huang's wealth foundation is not entirely dependent on crypto assets. Before becoming the "God of Gamblers in Crypto," he was a successful tech entrepreneur.

In 2015, Huang co-founded 17 Media (later M17 Entertainment/17LIVE). This platform quickly grew into a leading live-streaming entertainment platform in Asia. After a failed NY IPO in 2018, it successfully listed in Singapore in 2023.

The most critical financial event occurred in November 2020. Huang announced his resignation from the 17LIVE board, and in this process, 17LIVE repurchased his shares in the company.

This equity repurchase event, coinciding with the onset of the 2021 crypto bull market, provided Huang with "anchor capital." This cash liquidity from an established business laid a solid financial foundation for his subsequent high-risk investments in the crypto market, sufficient to ensure he could withstand huge short-term losses in his derivative trading.

Tier 2: The Controversial Past of Early Crypto Projects

Besides success in traditional tech, Huang was also deeply involved in early crypto projects, but this history is full of controversy.

The most representative is the Mithril (MITH) project. Huang was the founder of this decentralized social media platform. However, the project was later evaluated as "only a concept, with粗糙 products and no real users." Although the MITH token price plummeted over 99% after the market cooled, and the project was eventually delisted in 2022, public reports clearly stated that the token issuer "made a lot of money" in the early stages of the project.

This reflects the typical chaos of the 2017-2018 ICO era: regardless of the project's long-term utility or sustainability, founders could obtain substantial capital through the initial token generation event. Meanwhile, a large number of retail investors suffered heavy losses after the projects collapsed.

Huang also co-founded the decentralized lending protocol Cream Finance (CREAM). The protocol experienced multiple major security incidents in 2021, including a $34 million exploit and a flash loan attack amounting to $130 million.

It must be emphasized that the ultimate failure of these early projects caused significant losses to investors. This history is provided仅 as background context and does not constitute investment advice for any similar projects.

Tier 3: Liquidity Extraction from the NFT Empire

Building on traditional capital and early crypto projects, Huang uses NFT assets as a financial tool to continuously generate highly liquid crypto assets to supplement his trading reserves.

Huang is a famous collector of top NFT series like Bored Ape Yacht Club (BAYC). As of June 2023, the NFTs held in his Ethereum wallet associated with machibigbrother.eth were valued at over $9.5 million.

However, his NFT strategy goes far beyond simple collection; it is an advanced financial strategy focused on liquidity generation:

Large-Scale Selling Events: In February 2023, he sold 1,010 NFTs within 48 hours, one of "the largest NFT sell-offs in history."

ApeCoin Realization: In August 2022, he sold 13 MAYC (worth about $350,000) within a week and transferred 1.4966 million ApeCoin to Binance.

Blur Liquidity Mining: He was a massive recipient of the Blur token airdrop and actively used the Blur Blend platform for NFT collateralized lending, once being the platform's largest lender, providing 58 loans totaling 1,180 ETH.

The purpose of this high-frequency, large-scale selling and NFT lending activity is to maximize airdrop rewards and convert high-value digital assets into highly liquid ETH or stablecoins, thereby continuously supplying ammunition to his derivatives trading reserves.

It is worth mentioning that while engaging in Blur NFT liquidity mining activities, Huang also incurred costs. He realized a loss of approximately 2,400 ETH (worth about $4.2 million) while trying to mine tokens through Bored Ape NFTs. But this $4.2 million loss was likely offset by the huge profits he obtained from the massive Blur airdrop and other asset liquidations.

03. The Perpetual Capital Machine

Therefore, Huang's ability to continuously absorb tens of millions of dollars in liquidation losses and immediately reopen aggressive positions stems from a diversified and庞大的 capital structure:

Traditional Tech Exit: Stable and large-scale fiat currency liquidity obtained through the sale of 17LIVE shares in 2020.

Early Crypto-Native Capital: Although the projects themselves were controversial, the early token issuance did accumulate crypto-native capital.

High-Speed NFT Liquidity Generation: Strategically converting high-value blue-chip NFT assets into ETH or stablecoins usable for margin through large-scale sales, airdrop reward acquisition, and NFT collateralized lending.

Given the publicly confirmed total main liquidation and profit-and-loss reversal amounts (over $54.5 million), and his ability to immediately inject hundreds of thousands of dollars in margin multiple times after liquidations, to maintain such a high-risk trading style, the scale of his unallocated liquid reserves is conservatively estimated to be over $100 million.

Even after experiencing 10 consecutive liquidations last night, leaving his account balance at just $53,178, based on his past behavior patterns, it's highly likely new funds will be injected soon. Huang's calm attitude—sharing a pool photo on Instagram with the comment "California Love" after his losses were widely reported—indicates that these liquidation events (despite the enormous absolute amounts) have not threatened his overall solvency.

More notably, Huang's strategic vision extends beyond trading existing assets to launching new capital generation mechanisms. In late 2024, he launched a new MACHI token project on the Blast blockchain, aiming to raise $5 million in liquidity through a "benchmark value event" and quickly attracted large investors with declared capital of up to $125 million.

This wealth循环 model—from traditional exit → early crypto projects → NFT mining → derivatives trading → new token issuance (MACHI)—reveals a continuous, aggressive model of capital extraction and redeployment. When one source of resources is locked up or depleted by high-risk positions, he immediately launches a new community-driven tokenized project to refresh his funding reserves.

04. Summary

Due to the complete publicity of his on-chain trading activities, Huang serves as an important but controversial market barometer. His trading规模 is large enough to trigger significant price movements and community discussions.

However, for ordinary investors, Huang's case is more of a warning than an example.

First, the risks of high-leverage trading are extreme. 25x leverage means the market only needs to fall 4% for your principal to go to zero. Even someone as well-capitalized as Huang has suffered tens of millions of dollars in losses in such trades.

Second, capital depth determines risk tolerance. Huang can immediately replenish margin after huge losses because he has diversified capital sources and deep liquidity reserves. Ordinary investors clearly do not have such conditions; one liquidation could be fatal.

Third, on-chain transparency is a double-edged sword. While transparency meets users' demands for data openness, the mechanical efficiency of the HyperBFT liquidation process eliminates the possibility of manual risk hedging during market shocks. The platform's efficiency itself becomes a structural risk amplifier for high-leverage traders.

Huang's continued reliance on extreme leverage and constant launching of new token projects预示 that his financial activities will continue to generate huge market volatility. His capital model demonstrates how traditional tech wealth can be efficiently combined with crypto-native wealth to support the most aggressive trading style in the crypto market.

But for every investor in this market, the more important question is:

Do you want to be the one creating liquidity, or the one providing liquidity?

In this market, surviving is always more important than getting rich quick.

Related Questions

QWhat is the main reason behind Huang Licheng's ability to repeatedly absorb millions in liquidation losses and continue high-leverage trading?

AHuang Licheng's ability stems from a diversified and deep capital structure, including traditional tech exit liquidity from selling 17LIVE shares, early crypto project earnings (despite their controversial nature), and strategic NFT liquidity generation through large-scale sales, airdrop farming, and NFT collateralized lending.

QWhich decentralized derivatives platform does Huang Licheng primarily use for his high-leverage trades, and what is a key risk of this platform?

AHuang Licheng primarily uses Hyperliquid, a decentralized derivatives platform. A key risk is its HyperBFT consensus mechanism, which enables millisecond-level matching speed, leading to rapid, mechanical liquidations during high volatility, leaving traders no escape route.

QWhat are the three layers of capital structure that support Huang Licheng's trading activities as outlined in the article?

AThe three layers are: 1) Traditional tech 'anchor capital' from the sale of his 17LIVE shares; 2) Early crypto project earnings from ventures like Mithril (MITH) and Cream Finance (CREAM); 3) NFT empire liquidity extraction through massive NFT sales, airdrop rewards, and NFT抵押借贷 (collateralized lending).

QHow did Huang Licheng's NFT strategy go beyond simple collection to generate liquidity for his trading?

AHis NFT strategy involved large-scale抛售 (sales), such as selling 1010 NFTs in 48 hours, cashing out ApeCoin, and actively participating in Blur liquidity mining and Blend lending platform, where he was once the largest lender, to convert high-value digital assets into liquid ETH or stablecoins.

QWhat is the estimated size of Huang Licheng's unallocated liquid reserves, and what new capital generation mechanism did he launch in 2024?

AHis unallocated liquid reserves are conservatively estimated to be over $100 million. In late 2024, he launched the new MACHI token project on the Blast blockchain, aiming to raise $5 million in liquidity through a 'benchmark value event' and quickly attracted large investors with declared capital up to $125 million.

Related Reads

When AI Begins to Audit the World: From Claude Discovering the ZEC Vulnerability, Watching the Encryption Industry Enter the 'Recursive Security Era'

**When AI Audits the World: From Claude's Discovery of a ZEC Vulnerability, Viewing the Crypto Industry Entering a "Recursive Security Era"** This article examines a pivotal shift in the blockchain security landscape, triggered by the convergence of two events: Anthropic's research on AI's "Recursive Self-Improvement" and Claude Opus 4.8's discovery of a critical vulnerability in Zcash's code. Traditionally, crypto security has relied on human experts and automated tools for periodic audits. However, the article argues AI is transitioning from a mere tool to an active participant in understanding and analyzing complex systems. Claude's ability to identify a subtle flaw in Zcash's zero-knowledge proof system demonstrates AI's potential to dramatically lower the cost and time required for risk discovery. This goes beyond finding a single bug; it signals a change in the very mechanism of how vulnerabilities are found. The core thesis introduces the concept of "Recursive Security," drawing a parallel to Anthropic's "Recursive Self-Improvement." Just as AI can accelerate its own development through feedback loops, security systems are evolving towards a continuous cycle of analysis, risk identification, remediation, and re-analysis. Security is becoming a persistent, evolving capability integrated into a system's lifecycle, rather than a one-time pre-launch audit. This shift is particularly urgent for the crypto industry, where system complexity from Layer-2 networks, modular architectures, and ZK-proofs is growing faster than human analysis capacity. AI excels at the pattern recognition and contextual understanding needed to navigate this complexity. Importantly, the article cautions that AI augments both defenders and potential attackers, accelerating the entire threat landscape. The future competitive advantage may not lie in having zero vulnerabilities, but in having the fastest risk discovery, validation, and response capabilities. The Claude-Zcash incident is thus an early signal of an era where AI-driven, recursive security systems become essential for managing risk in an increasingly complex digital world.

marsbit1h ago

When AI Begins to Audit the World: From Claude Discovering the ZEC Vulnerability, Watching the Encryption Industry Enter the 'Recursive Security Era'

marsbit1h ago

From MSTR to STRC+: Where Is the Limit of the Strategy Universe?

From MSTR to STRC+: The Evolution and Limits of the Strategy Universe This article examines the transformation of Strategy (formerly MicroStrategy) from a simple "Bitcoin treasury" company into a complex financial engineering firm building a BTC-backed credit system. **Core Thesis:** Strategy's true significance lies not just in its massive BTC holdings (~844k BTC), but in its attempt to transform this static reserve into a multi-layered credit curve within traditional capital markets and, subsequently, into on-chain yield infrastructure. **The MSTR Flywheel:** The initial model was a reflexive loop: BTC price rises → MSTR stock rises → company raises capital (debt/equity) at a premium → buys more BTC → increases per-share BTC exposure → MSTR premium grows. This "amplified Bitcoin" equity (MSTR) thrives on bullish momentum but is vulnerable to tightening premiums and rising funding costs. **Building the Credit Curve:** Strategy's innovation is slicing its single BTC balance sheet into different risk/return profiles via specialized securities: * **MSTR:** High-volatility equity layer absorbing full BTC upside/downside. * **STRC:** Key product. A perpetual preferred stock designed as "short duration high yield credit," offering ~11.5% floating monthly dividends. It attracts fixed-income investors seeking yield without direct BTC exposure, funding Strategy's operations. * **STRD/STRK/STRF:** Other preferred/share classes with varying durations, conversion rights, and fixed dividends. **Risks of the STRC Model:** STRC's high yield is not risk-free. Its stability depends on: 1) Sufficient BTC asset coverage, 2) Strategy's continued ability to pay dividends, and 3) Market faith in the MSTR/STRC funding flywheel. Stress points include deep BTC price declines eroding the asset buffer, rising dividend costs if STRC trades below par, and a broken flywheel if MSTR's premium (mNAV) falls persistently. **On-Chain Expansion: STRC+:** Projects like **Saturn** and **Apyx** aim to package STRC's (and other DAT preferred stock) cash flows into on-chain stablecoin yield (e.g., sUSDat, apyUSD). They offer DeFi a new yield source distinct from trading fees or incentives—cash dividends from traditional securities. However, this introduces compounded risks: off-chain custody, issuer credit risk, BTC volatility, and protocol execution risk. **Conclusion: The Ultimate Boundary** Strategy's endgame is not infinite BTC accumulation. It is the market's long-term acceptance of a new credit system where BTC serves as collateral for tradable securities whose cash flows can power on-chain financial applications. Its "universe" expands if this BTC-native credit curve gains legitimacy, but contracts if these instruments are repriced purely as high-risk, yield-bearing credit assets without stablecoin mythology.

marsbit1h ago

From MSTR to STRC+: Where Is the Limit of the Strategy Universe?

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片