crypto whale short position: A single trader now holds a $200 million short across BTC and ETH, netting a $1.5 million unrealized gain. The whale shorts 1,351 BTC at 25x (entry $111,292) and 11,800 ETH at 15x (entry $4,278), with defined liquidation prices.
$200M total short: 1351 BTC (25x) + 11,800 ETH (15x)
Unrealized gain of $1.5M; BTC entry $111,292, ETH entry $4,278
Liquidation prices: BTC $114,770; ETH $4,798 — leverage risk is concentrated
crypto whale short position: $200M short across BTC & ETH, $1.5M unrealized gain — detailed breakdown, liquidation points, and key takeaways. Read now.
What happened with the crypto whale’s BTC and ETH short positions?
The crypto whale short position refers to a trader who shifted from an earlier long on ETH (a $35.84M loss) to concentrated shorts on BTC and ETH. As of September 7, the trader holds a combined $200 million short and shows a $1.5 million unrealized gain, per EmberCN monitoring reported by COINOTAG News.
How are the positions structured and what are the liquidation levels?
The trader’s positions are split between BTC and ETH with distinct leverage profiles and liquidation prices for each.
- Short 1,351 BTC at 25x leverage: position value ≈ $150 million, entry price $111,292, liquidation price $114,770.
- Short 11,800 ETH at 15x leverage: position value ≈ $50 million, entry price $4,278, liquidation price $4,798.
- Combined short exposure totals about $200 million with a reported $1.5 million unrealized gain.
Why does leverage and liquidation price matter for this whale short position?
Leverage multiplies both profit and loss. The BTC short uses 25x leverage, narrowing price movement needed to reach liquidation. The ETH short uses 15x, offering slightly wider margin. Liquidation prices ($114,770 BTC; $4,798 ETH) are critical thresholds where positions would be forcibly closed if markets move against the trader.
Frequently Asked Questions
How large is the whale’s BTC exposure in dollars?
The BTC exposure is approximately $150 million, representing the larger portion of the $200 million combined short. This is based on 1,351 BTC at an entry price of $111,292 and 25x leverage.
Why did the whale switch from an ETH long to shorts?
Public reporting (COINOTAG News via EmberCN monitoring) shows the trader originally held an ETH long that lost $35.84 million. The subsequent strategy shifted to shorting large BTC and ETH positions, possibly to reposition market exposure after the loss. This report is fact-based and does not speculate on motives.
How to read the position data (quick guide)?
- Identify asset and size: 1,351 BTC and 11,800 ETH.
- Note leverage: 25x for BTC, 15x for ETH — higher leverage increases liquidation risk.
- Compare entry vs. liquidation prices to gauge how close the position is to forced closure.
- Track unrealized gain/loss to understand current profit or risk exposure.
Position Comparison Table
| Asset | Quantity | Leverage | Position Value | Entry Price | Liquidation Price |
|---|---|---|---|---|---|
| BTC | 1,351 | 25x | $150,000,000 | $111,292 | $114,770 |
| ETH | 11,800 | 15x | $50,000,000 | $4,278 | $4,798 |
Key Takeaways
- Concentrated short exposure: $200M total across BTC and ETH increases market-specific risk.
- High leverage on BTC: 25x leverage creates tight liquidation proximity at $114,770.
- Active monitoring required: Liquidation thresholds and unrealized gains can change quickly with price moves.
Conclusion
COINOTAG News (reporting EmberCN monitoring) documents a significant shift: a trader now holds a $200 million crypto whale short position across BTC and ETH with a $1.5 million unrealized gain. The precise entry and liquidation prices clarify near-term risk. Watch market moves and official exchange data for updates.
Source: COINOTAG News (EmberCN monitoring). Published: 2025-09-07. Author: COINOTAG. Updated: 2025-09-07.
‘,
‘
🔒 Secure and Fast Transactions
Diversify your investments with a wide range of coins. Join now!
‘,
‘
💎 The Easiest Way to Invest in Crypto
Dont wait to get started. Click now and discover the advantages!
‘
];
var adplace = document.getElementById(“ads-binance”);
if (adplace) {
var sessperindex = parseInt(sessionStorage.getItem(“adsindexBinance”));
var adsindex = isNaN(sessperindex) ? Math.floor(Math.random() * adscodesBinance.length) : sessperindex;
adplace.innerHTML = adscodesBinance[adsindex];
sessperindex = adsindex === adscodesBinance.length – 1 ? 0 : adsindex + 1;
sessionStorage.setItem(“adsindexBinance”, sessperindex);
}
})();