The post Big Traders Are Buying THESE Crypto Coins… appeared on BitcoinEthereumNews.com. Fresh data from Coinglass shows that a crypto whale with a 100% win rate has just scaled up his leveraged positions across multiple major assets, and added a new high-risk long that’s catching traders’ attention. With over $400 million now in open longs, this activity hints at a wave of accumulation happening beneath the surface. Crypto News: Inside the Whale’s $400 Million Portfolio The data snapshot reveals four open positions with a combined leverage of 10.5× and full margin deployment, meaning this trader has gone all in with zero free capital left on the table. Token Position Side Leverage Value Notes $BTC Long 13× $133.09 M Opened near $110K $ETH Long 15× $150.23 M Opened around $3,845 $SOL Long 10× $110.48 M Averaging near $197 $HYPE Long 5× $6.69 M Fresh 10× entry recently opened The total account value stands at $38 million, with no free margin available, showing a conviction-level bet on the market’s next leg higher. Profit Snapshot and Risk Profile Despite recent red candles, this whale remains up $7.85 million for the month, according to Coinglass data.The 7-day PnL is negative (−$15.78M), suggesting the trader might be absorbing short-term volatility while accumulating positions at lower levels. The strategy appears to combine high-conviction longs on blue-chip assets ($BTC, $ETH, $SOL) with a small, high-leverage speculative bet on $HYPE, a classic setup used by institutional traders expecting a market reversal. Why These Moves Matter When whales deploy nine-figure positions, they often anticipate macro shifts or market liquidity waves. Several factors may be behind these moves: Post-correction accumulation: Major traders are likely positioning before the next breakout following weeks of consolidation. ETF & regulation optimism: The ongoing progress of the U.S. market-structure bill and ETF inflows could be boosting confidence. Rotation into majors: Smart money typically moves into $BTC, $ETH,… The post Big Traders Are Buying THESE Crypto Coins… appeared on BitcoinEthereumNews.com. Fresh data from Coinglass shows that a crypto whale with a 100% win rate has just scaled up his leveraged positions across multiple major assets, and added a new high-risk long that’s catching traders’ attention. With over $400 million now in open longs, this activity hints at a wave of accumulation happening beneath the surface. Crypto News: Inside the Whale’s $400 Million Portfolio The data snapshot reveals four open positions with a combined leverage of 10.5× and full margin deployment, meaning this trader has gone all in with zero free capital left on the table. Token Position Side Leverage Value Notes $BTC Long 13× $133.09 M Opened near $110K $ETH Long 15× $150.23 M Opened around $3,845 $SOL Long 10× $110.48 M Averaging near $197 $HYPE Long 5× $6.69 M Fresh 10× entry recently opened The total account value stands at $38 million, with no free margin available, showing a conviction-level bet on the market’s next leg higher. Profit Snapshot and Risk Profile Despite recent red candles, this whale remains up $7.85 million for the month, according to Coinglass data.The 7-day PnL is negative (−$15.78M), suggesting the trader might be absorbing short-term volatility while accumulating positions at lower levels. The strategy appears to combine high-conviction longs on blue-chip assets ($BTC, $ETH, $SOL) with a small, high-leverage speculative bet on $HYPE, a classic setup used by institutional traders expecting a market reversal. Why These Moves Matter When whales deploy nine-figure positions, they often anticipate macro shifts or market liquidity waves. Several factors may be behind these moves: Post-correction accumulation: Major traders are likely positioning before the next breakout following weeks of consolidation. ETF & regulation optimism: The ongoing progress of the U.S. market-structure bill and ETF inflows could be boosting confidence. Rotation into majors: Smart money typically moves into $BTC, $ETH,…

Big Traders Are Buying THESE Crypto Coins…

2025/11/03 08:27

Fresh data from Coinglass shows that a crypto whale with a 100% win rate has just scaled up his leveraged positions across multiple major assets, and added a new high-risk long that’s catching traders’ attention. With over $400 million now in open longs, this activity hints at a wave of accumulation happening beneath the surface.

Crypto News: Inside the Whale’s $400 Million Portfolio

The data snapshot reveals four open positions with a combined leverage of 10.5× and full margin deployment, meaning this trader has gone all in with zero free capital left on the table.

TokenPosition SideLeverageValueNotes
$BTCLong13×$133.09 MOpened near $110K
$ETHLong15×$150.23 MOpened around $3,845
$SOLLong10×$110.48 MAveraging near $197
$HYPELong$6.69 MFresh 10× entry recently opened

The total account value stands at $38 million, with no free margin available, showing a conviction-level bet on the market’s next leg higher.

Profit Snapshot and Risk Profile

Despite recent red candles, this whale remains up $7.85 million for the month, according to Coinglass data.
The 7-day PnL is negative (−$15.78M), suggesting the trader might be absorbing short-term volatility while accumulating positions at lower levels.

The strategy appears to combine high-conviction longs on blue-chip assets ($BTC, $ETH, $SOL) with a small, high-leverage speculative bet on $HYPE, a classic setup used by institutional traders expecting a market reversal.

Why These Moves Matter

When whales deploy nine-figure positions, they often anticipate macro shifts or market liquidity waves. Several factors may be behind these moves:

  • Post-correction accumulation: Major traders are likely positioning before the next breakout following weeks of consolidation.
  • ETF & regulation optimism: The ongoing progress of the U.S. market-structure bill and ETF inflows could be boosting confidence.
  • Rotation into majors: Smart money typically moves into $BTC, $ETH, and $SOL before spreading into mid-caps once momentum builds.

These signals together suggest accumulation rather than exit liquidity.

Crypto Prediction: The Bigger Picture

With over $400 million locked in leveraged longs, this whale is betting that the worst of the correction is over. His positions show patience and conviction, rather than panic or short-term scalping.

If the market breaks higher, his timing could mark the start of a broader whale accumulation phase, a pattern that historically precedes major bull runs. However, this might be a short-term trade to benefit from the consolidating crypto market.

Source: https://cryptoticker.io/en/big-traders-buying-these-crypto-coins-data-reveals/

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.
Share Insights

You May Also Like

Nvidia Invests $683M in Nscale, Crypto Mining Powers AI

Nvidia Invests $683M in Nscale, Crypto Mining Powers AI

The post Nvidia Invests $683M in Nscale, Crypto Mining Powers AI appeared on BitcoinEthereumNews.com. Nvidia, the world’s most valuable chipmaker, has committed $683 million to Nscale, a London-based AI infrastructure company that only recently spun out of crypto miner Arkon Energy.  The investment underscores how crypto’s infrastructure legacy quietly fuels the next wave of AI growth. Mining-born data centers evolve into sovereign-scale computing hubs. Sponsored Sponsored Nvidia and Crypto Mining Roots Power AI Ambitions Nvidia’s partnership with Nscale will bring about 60,000 GPUs to UK data centers by 2026. The move underscores the scale of Nvidia’s investment and aligns with the UK’s broader AI policy goals. Notably, the announcement comes as political momentum builds under Prime Minister Keir Starmer’s 50-point AI action plan. It also comes as crypto-origin infrastructure converges with traditional tech giants. Microsoft and OpenAI have already pledged billions to AI campuses in Britain, while Nvidia is positioning itself at the intersection of blockchain roots and next-generation compute. Nscale’s origins lie in the energy-intensive world of digital asset mining. Arkon Energy founded the company to provide infrastructure for crypto mining. In 2024, the company pivoted to AI as demand for compute power outpaced blockchain returns. Nvidia CEO Jensen Huang highlighted Nscale’s role in UK infrastructure, saying the company could become a “national champion for AI infrastructure in the UK.” Crypto Mining Roots Power AI Ambitions Sponsored Sponsored Crypto’s once-criticized data centers are now being redeployed for mainstream AI infrastructure. CoreWeave, which started as an Ethereum mining operation in 2017, now provides AI infrastructure to Microsoft, Google, Nvidia, and OpenAI. After pivoting to AI workloads, it went public in 2025 with a market cap of around $58 billion. Likewise, Hut 8, a Canadian Bitcoin miner, has expanded into high-performance computing services, striking partnerships with enterprise clients seeking GPU capacity. On August 14, 2025, Google invested in TeraWulf, backing $1.8 billion in AI-hosting agreements…
Share
BitcoinEthereumNews2025/09/18 10:37
Preliminary analysis of the Balancer V2 attack, which resulted in a loss of $120 million.

Preliminary analysis of the Balancer V2 attack, which resulted in a loss of $120 million.

On November 3, the Balancer V2 protocol and its fork projects were attacked on multiple chains, resulting in a serious loss of more than $120 million. BlockSec issued an early warning at the first opportunity [1] and gave a preliminary analysis conclusion [2]. This was a highly complex attack. Our preliminary analysis showed that the root cause was that the attacker manipulated the invariant, thereby distorting the calculation of the price of BPT (Balancer Pool Token) -- that is, the LP token of Balancer Pool -- so that it could profit in a stable pool through a batchSwap operation. Background Information 1. Scaling and Rounding To standardize the decimal places of different tokens, the Balancer contract will: upscale: Upscales the balance and amount to a uniform internal precision before performing the calculation; downscale: Reduces the result to its original precision and performs directional rounding (e.g., inputs are usually rounded up to ensure the pool is not under-filled; output paths are often truncated downwards). Conclusion: Within the same transaction, the asymmetrical rounding direction used in different stages can lead to a systematic slight deviation when executed repeatedly in very small steps. 2. Prices of D and BPT The Balancer V2 protocol’s Composable Stable Pool[3] and the fork protocol were affected by this attack. Stable Pool is used for assets that are expected to maintain a close 1:1 exchange ratio (or be exchanged at a known exchange rate), allowing large exchanges without causing significant price shocks, thereby greatly improving the efficiency of capital utilization between similar or related assets. The pool uses the Stable Math (a Curve-based StableSwap model), where the invariant D represents the pool's "virtual total value". The approximate price of BPT (Pool's LP Token) is: The formula above shows that if D is made smaller on paper (even if no funds are actually withdrawn), the price of BPT will be cheaper. BTP represents the pool share and is used to calculate how many pool reserves can be obtained when withdrawing liquidity. Therefore, if an attacker can obtain more BPT, they can profit when withdrawing liquidity. Attack Analysis Taking an attack transaction on Arbitrum as an example, the batchSwap operation can be divided into three stages: Phase 1: The attacker redeems BPT for the underlying asset to precisely adjust the balance of one of the tokens (cbETH) to a critical point (amount = 9) for rounding. This step sets the stage for the precision loss in the next phase. Phase Two: The attacker uses a carefully crafted quantity (= 8) to swap between another underlying asset (wstETH) and cbETH. Due to rounding down when scaling the token quantity, the calculated Δx is slightly smaller (from 8.918 to 8), causing Δy to be underestimated and the invariant D (derived from Curve's StableSwap model) to be smaller. Since BPT price = D / totalSupply, the BPT price is artificially suppressed. Phase 3: The attackers reverse-swap the underlying assets back to BPT, restoring the balance within the pool while profiting from the depressed price of BPT—acquiring more BPT tokens. Finally, the attacker used another profitable transaction to withdraw liquidity, thereby using the extra BPT to acquire other underlying assets (cbETH and wstETH) in the Pool and thus profit. Attacking the transaction: https://app.blocksec.com/explorer/tx/arbitrum/0x7da32ebc615d0f29a24cacf9d18254bea3a2c730084c690ee40238b1d8b55773 Profitable trades: https://app.blocksec.com/explorer/tx/arbitrum/0x4e5be713d986bcf4afb2ba7362525622acf9c95310bd77cd5911e7ef12d871a9 Reference: [1]https://x.com/Phalcon_xyz/status/1985262010347696312 [2]https://x.com/Phalcon_xyz/status/1985302779263643915 [3]https://docs-v2.balancer.fi/concepts/pools/composable-stable.html
Share
PANews2025/11/04 14:00