Los robots sándwich de Solana se llevaron 29,7 millones de dólares antes de costes, principalmente dirigidos a Pump.fun | CryptoAce VIP
Global Network:
WHALE RADAR
BTC $89,420 +3.8% ETH $3,480 +2.4% SOL $192 +6.1% BNB $640 +1.9% XRP $1.42 +4.5% BTC $89,420 +3.8% ETH $3,480 +2.4% SOL $192 +6.1%
← Back to All Stories

Los robots sándwich de Solana se llevaron 29,7 millones de dólares antes de costes, principalmente dirigidos a Pump.fun

Category: Whale Tracking Published: Updated: Desk: CryptoAce VIP Editorial ✓ Verified Desk Analyst Source: CryptoSlate
How does this story make you feel?
Los robots sándwich de Solana se llevaron 29,7 millones de dólares antes de costes, principalmente dirigidos a Pump.fun

Story summary

La curva de lanzamiento de Pump.fun y PumpSwap representaron el 96% de los ataques detectados en el período de 11 meses del estudio. La publicación Los robots sándwich de Solana se llevaron $ 29,7 millones antes de costos, principalmente dirigidos a Pump.fun, apareció por primera vez en CryptoSlate.

📌 Key Highlights & Takeaways

  • La curva de lanzamiento de Pump.fun y PumpSwap representaron el 96% de los ataques detectados en el período de 11 meses del estudio.
  • La publicación Los robots sándwich de Solana se llevaron $ 29,7 millones antes de costos, principalmente dirigidos a Pump.fun, apareció por primera vez en CryptoSlate.

Sandwich bots extracted about $29.7 million before costs from Solana trades over an 11-month period, according to blockchain data provider Bitquery. It found 96% of detected attacks on memecoin platform Pump.fun's launch curve and its PumpSwap exchange.

The investigation , covering successful swaps, counted 6,850,144 attacks by 2,545 bot wallets affecting 2,154,994 distinct wallets between October 30, 2025, and October 7, 2026. Those addresses do not represent a count of individual people: other bots' trades accounted for 39% of the estimated gross take.

A sandwich places a bot's purchase and sale around another trader's swap. The first purchase raises the pool price; the intervening buyer receives fewer tokens, and the bot sells into the higher price. The cost reaches the trader through execution, even when the swap completes successfully.

Among trades sent by swap router Jupiter through Pump.fun's launch curve or PumpSwap, trades allowing 20%–50% slippage were sandwiched 14 times as often as those allowing under 3%, Bitquery found.

Slippage tolerance sets how far execution can depart from a quote. Jupiter's documentation describes a minimum acceptable output after applying that tolerance. A price move beyond the limit can cause a swap to fail; a wider limit permits a worse fill. That creates a tradeoff between completing a volatile trade and limiting the price concession accepted along the way.

The observed attack rates did not rise uniformly with every wider setting. Trades below 0.5% tolerance were hit more often than those at 1%–3%, while the 50%-or-more band was hit less often than the 20%–50% band.

The slippage comparison is observational and covers Jupiter routes through Pump.fun's launch curve or PumpSwap. Jupiter carried only a small share of all victim trades in the investigation.

The $29.7 million estimate values SOL at the minute of each attack and does not measure net profit. In Bitquery's separate 63-attack fee sample, bots retained 68% of aggregate gross proceeds, and 18 attacks lost money after costs. That sample does not establish net earnings for the full period. The report also identifies inconsistent Pump.fun sale-fee recording that affects its gross estimate by about 3%.

💎

Crypto Profit & Yield Calculator

Simulate trading returns, staking APY, and crypto gains with real-time fee modeling.

Launch Free Tool ➔

Source: CryptoSlate.

Read the full story at the original source ↗

For questions: mrsmithcons@gmail.com.

📌 EXPLORE NEXT IN WHALE TRACKING
El implante de billetera Ledger expone una brecha en su verificación de autenticidad
⏱️ 3 Min Read 👁️ 0.0k readers Continue Story ➔
AV
Alex Vance ? Verified Lead Analyst Senior On-Chain Blockchain & Quantitative Market Strategist

Former protocol researcher specializing in smart contract mechanics, DEX liquidity flow, macro cycle indicators, and institutional on-chain wallet tracking.

#On-Chain Telemetry #Liquidity Analysis #Tokenomics

❓ Frequently Asked Questions (Whale Tracking Briefing)

What on-chain catalyst or market signal triggered this Whale Tracking movement? ▼

Institutional on-chain telemetry, cold storage accumulation, and derivative funding rates indicate spot liquidity positioning that underpins this Whale Tracking development.

How should investors interpret current liquidity pools and network hash activity? ▼

Derivative funding remains balanced and exchange reserves continue trending downward, mitigating systemic liquidation cascades and strengthening the underlying structural floor.

Where are the critical technical support and invalidation levels? ▼

Anchored volume-weighted average price (VWAP) benchmarks and high-density order book clusters near prior consolidation ranges serve as key risk management thresholds.

← PREVIOUS STORY El implante de billetera Ledger expone una brecha en su verificación de autenticidad #Whale Tracking NEXT STORY → La actividad de la cadena Robinhood cae más del 40% a medida que el comercio se desacelera después del lanzamiento #Whale Tracking
What is your reaction to this report?

💎 On-Chain Wallet Tracking & Breakout Targets

Direct wallet address monitoring, smart money flows, and liquidity depth.

⚡ Track Whale Wallets Now ➔
🌐 NETWORK SYNDICATION

Trending Stories Across Our Media Network

Direct access to breaking updates, market intelligence & viral coverage from our sister publications.

⚡ UP NEXT IN WHALE TRACKING Continuous Auto-Feed
La actividad de la cadena Robinhood cae más del 40% a medida que el comercio se desacelera después del lanzamiento
Whale Tracking

La actividad de la cadena Robinhood cae más del 40% a medida que el comercio se desacelera después del lanzamiento

Robinhood Chain está viendo cómo las transacciones diarias caen drásticamente a un promedio de 6,2 millones a principios de octubre, un 42% menos que a mediados...

Continue to Next Story ➔
🌐 GLOBAL DIGITAL MEDIA & INTELLIGENCE NETWORK

Specialist Publications & Editorial Desks

Direct access to verified on-chain analytics, sharp sports models, high-roller gaming suites, and breakthrough technology reporting.

WHALE RADAR: High-Conviction On-Chain Accumulation & Yield
Get Whale Signals ➔
✓ Reel link copied to clipboard!

</> Embed on Your Website

Copy and paste this snippet into any article, forum, or website:

Share with Friends

💬 WhatsApp ✈️ Telegram 𝕏 Share