Hook
On August 23, 2025, a wallet labeled "Maji" did something that would make most risk managers physically ill. After watching two separate 40x long positions on Bitcoin get liquidated for a combined $165,000 loss, the team—led by the Taiwanese entrepreneur known as Machi Big Brother, or Jeffrey Huang—did not retreat. They did not reassess their leverage philosophy. Instead, they rotated the entire playbook into Ethereum, opening a $75 million long position at an average entry of $2,370, now sitting on $1.96 million in unrealized profit.
This is not a story about a successful trade. This is a story about what happens when narrative conviction meets mechanical leverage—and why the crypto market keeps rewarding people who should, by all rational standards, be dead by now.
Context
To understand why this matters, you need to understand who Huang is. He is not some anonymous whale hiding behind a VPN. He is a public figure in the Taiwanese blockchain scene, a man who has built and burned through multiple projects—FOMO 3D, BurgerSwap, and others—each leaving a trail of controversy. He is also a prolific NFT collector, a figure whose on-chain movements are tracked by thousands of traders looking for "smart money" signals.
The Maji wallet, which appears to be his trading vehicle, has been active in the perpetual futures market, primarily on Hyperliquid—a platform I've been tracking since its early days. The choice of venue is itself telling. Hyperliquid offers up to 40x leverage on certain pairs, operates with an off-chain order book and on-chain settlement, and has become the de facto home for crypto's most aggressive leveraged traders.
The broader market context matters too. We are in a bear market that has lasted longer than most participants' attention spans. Bitcoin dominance has been the dominant narrative for months, with ETH/BTC ratio grinding lower. Against this backdrop, a prominent trader abandoning BTC longs for ETH longs is not just a position change—it's a narrative signal.
Core
Let me walk you through the mechanics of what actually happened, because the surface-level reading misses the deeper story.
The sequence of events is instructive. First, Maji attempted BTC longs at 40x leverage—twice. Both failed. The losses were relatively small in absolute terms ($165,000), but the pattern is what matters. This is a trader who believes in Bitcoin's upside but cannot stomach the volatility at that leverage level. The liquidation price on a 40x position is only 2.5% away from entry. In a market where BTC routinely moves 3-5% in a single hour, that's not a trade—it's a coin flip with extra steps.
Then came the pivot. Maji opened a $75 million ETH long at $2,370. The position is now showing $1.96 million in unrealized gains, roughly 2.6% in profit. But here's what the casual observer misses: this is not a single position. The wallet also holds $19.85 million in HYPE (Hyperliquid's native token) and $4.87 million in PUMP, a token I had to dig through multiple data sources to even identify. Combined, these "satellite positions" represent about 33% of the ETH position size.
From my experience auditing trading behavior during the 2020 DeFi Summer, I've learned that position structure reveals more than position direction. The HYPE position is particularly interesting. Holding a long on the exchange's native token while running leveraged trades on that same exchange creates a feedback loop. If Hyperliquid's volume grows, HYPE appreciates, which increases the collateral value, which allows for larger positions, which generates more volume. It's a reflexive cycle that can work beautifully—until it doesn't.
The PUMP position is harder to analyze. The token's fundamentals are opaque, and its liquidity profile suggests it could move 20-30% in either direction on modest volume. This is not an investment; it's a lottery ticket with a wallet address.
Now, let me apply the behavioral economics lens that has shaped my analysis since I wrote "The Cost of Belief" during the 2022 bear market. What we're seeing here is a classic manifestation of loss aversion followed by risk-seeking behavior. Prospect theory tells us that after a loss, individuals become more willing to take risks to "get back to even." The BTC failures created a psychological anchor. The ETH position isn't just a trade—it's an attempt to recover lost ground and prove the original thesis was right, just on the wrong asset.
The leverage mechanics deserve scrutiny. At 40x, the ETH position has a liquidation price around $2,310—just 2.5% below entry. In the current market, where ETH has shown itself capable of 5% daily swings, this position is one bad news cycle away from extinction. The $1.96 million in unrealized profit is real, but it's also ephemeral. A single 3% drop would erase it entirely and put the position underwater.
Contrarian
Here's where I diverge from the crowd that's now celebrating Huang as a genius. The narrative forming around this trade is that "smart money is rotating from BTC to ETH." I've seen this story before. In 2021, when I was analyzing the NFT explosion and the Soulbound token concept, I watched the same pattern play out—prominent figures making aggressive bets, the community interpreting those bets as signals, and then the inevitable reckoning when leverage met reality.
The contrarian angle is this: Maji's pivot may not be a signal about ETH at all. It may be a signal about the deteriorating state of Bitcoin's derivative market. Think about it. A trader with access to 40x leverage on BTC failed twice. That's not a commentary on Bitcoin's fundamentals—it's a commentary on the volatility regime. If BTC's price action is too violent for 40x leverage, and ETH's is marginally less violent, the rational move isn't to conclude ETH will outperform. It's to find the asset where leverage is survivable.
There's also the question of whether this trade is even replicable. The $75 million position is large enough to move markets on its own. When a position of that size enters the order book, it creates its own price impact. The $1.96 million in unrealized profit may be partially self-generated—the market moving because the position exists, not because of external fundamentals.
And let me address the elephant in the room: the HYPE position. If Maji is long HYPE while trading on Hyperliquid, there's an inherent conflict of interest that most observers are ignoring. The trader's incentive is not just to be right on ETH—it's to see Hyperliquid's volume and fee generation increase. That means the ETH position may be partially motivated by a desire to generate activity on the platform, not by a pure directional view on Ethereum.
Takeaway
The question I keep returning to is not whether Maji will profit from this trade. It's what this behavior tells us about the state of crypto trading culture in 2025. We have a prominent figure running 40x leverage, getting liquidated, and then doubling down with even larger positions. The market rewards this behavior with attention, followers, and sometimes profits. But it also normalizes a level of risk that would be unthinkable in any other asset class.
To hunt the truth, one must first bury the hype. The truth here is that this trade is not a signal about ETH's fundamentals, nor is it evidence of smart money rotation. It's a highly leveraged gambler making a narrative bet, and the only certainty is that the liquidation price is closer than the profit target.
The real signal to watch isn't Maji's P&L. It's the funding rate on ETH perpetuals over the next two weeks. If funding stays positive while price consolidates, that tells us the market is crowded long. If funding flips negative while price holds, that tells us the leveraged longs are being shaken out. Either way, the information is in the mechanics, not the narrative.
I've been in this industry long enough to know that the most dangerous position is the one that's working. The $1.96 million in unrealized profit is the most dangerous number in this entire story. It creates the illusion of validation, which is precisely when risk management gets abandoned. Watch the liquidation price, not the profit. That's where the truth lives.
