How Jeffrey Huang’s 25x Leveraged Ethereum Bet Unraveled

Huang reportedly opened a large 25× leveraged long position on Ethereum futures, betting that ETH’s price would rise. With leverage this high, only a small drop in price is needed to trigger liquidation because the trader’s collateral quickly becomes insufficient to maintain the position.

As Ethereum’s price weakened during market volatility in 2026, the position began facing increasing pressure. Eventually:

• Parts of the position were forcibly liquidated by the exchange, selling portions of the trade to cover losses.
• Additional liquidations followed as ETH continued to move against the position.
• Huang ultimately closed most of the position, leaving roughly 1,700 ETH remaining and bringing total estimated losses to about $33 million.

Earlier in the year, monitoring data suggested the position had already been close to liquidation thresholds, demonstrating how narrow the margin for error can be with 25× leverage.

A Pattern of Liquidations and Re‑Entries

The Ethereum trade was not a single event but part of a broader pattern documented by on‑chain trackers.

Multiple reports describe the same sequence repeating:

• A large 25× leveraged ETH long is opened.
• A market drop triggers full or partial liquidation.
• Huang reopens another leveraged long shortly afterward.

For example, during a market dip in March 2026, one of his ETH positions was fully liquidated on the decentralized perpetuals platform Hyperliquid. Soon after, he reportedly opened a new 25× leveraged long again.

By mid‑May 2026, these repeated liquidations had pushed cumulative losses from the trading campaign to more than $32.4 million, according to reports citing on‑chain monitoring.

From Huge Unrealized Gains to Heavy Losses

Some reports indicate the story was even more dramatic earlier in the trade’s life cycle. At one stage, when Ethereum traded near previous highs, Huang’s leveraged position reportedly showed over $44 million in unrealized profit before the market reversed sharply.

As ETH later dropped significantly—at one point falling toward the $1,800 range after a steep decline—liquidations began wiping out those gains and turning them into realized losses.

This shift from large paper profits to major losses underscores a core reality of leveraged trading: profits and losses are amplified equally.

Why 25× Leverage Is So Risky

Leverage multiplies both exposure and risk. At 25× leverage, a price move of only a few percent in the wrong direction can eliminate the trader’s collateral and trigger liquidation.

When markets are volatile, this can produce a cascade effect:

• The exchange begins forced selling of the position.
• Liquidations often occur during fast price moves, worsening execution prices.
• The trader may re‑enter quickly, exposing themselves again before the market stabilizes.

Huang’s repeated re‑entries into highly leveraged ETH positions illustrate how quickly losses can compound when volatility persists.

A High‑Profile Example of Leverage Risk

The Machi Big Brother saga became widely discussed in crypto circles because of the scale of the positions and the transparency of on‑chain data. Public blockchain tracking allowed analysts to follow liquidation events and estimate the size of the losses in near real time.

While some reports claim larger multi‑month losses, the most consistently reported figures tied to the 2026 ETH trading sequence place the losses in the roughly $32–33 million range.

The episode serves as a vivid reminder of a fundamental truth in crypto derivatives trading: high conviction plus extreme leverage can magnify profits—but it can also erase them just as quickly when markets move the other way.

Because most of the available data comes from blockchain monitoring and crypto‑news reporting rather than official statements from Huang or exchanges, the exact totals should be viewed as reported estimates rather than audited figures.