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Top 10 Whales This Week: What Are They Trading?

Nov 16, 202510 min read

This week's most active crypto whales have made bold moves across multiple tokens. By analyzing their 7-day trading patterns, position sizes, and buy/sell ratios, we can identify emerging trends before they hit mainstream consciousness. Here's what the smart money is doing right now.

How We Identify Top Whales

Sonar Tracker's whale ranking system uses a sophisticated multi-factor algorithm to identify the most influential market participants:

Ranking Methodology:

1. Net Flow Analysis (40% weight)

• Absolute dollar value of net buys/sells over 7 days

• Whales with $10M+ net flow rank highest

• Both accumulation (buying) and distribution (selling) score equally

2. Transaction Volume (30% weight)

• Total dollar value of all transactions

• Higher volume = more market impact

• Minimum $50M+ in weekly volume for top 10

3. Unique Token Diversity (20% weight)

• Number of different tokens traded

• Diversified whales (5+ tokens) show sector expertise

• Single-token whales may signal targeted accumulation

4. Whale Score (10% weight)

• Historical accuracy of whale's past moves

• Address reputation and longevity

• Smart contract interaction sophistication

Why 7 Days?
Weekly analysis smooths out daily noise while capturing meaningful position changes. It's long enough to see strategic shifts but short enough to be actionable.

Data Quality Filters:

• Excludes CEX cold wallets (not real whale trading)

• Filters wash trading and self-transfers

• Requires minimum $10K per transaction

• Verifies counterparty is legitimate DEX/CEX

This Week's Top Trading Patterns

Pattern #1: DeFi Blue Chip Rotation

Rank #1-3 whales show heavy accumulation in:

• AAVE: $15M net buying (72% buy ratio)

• COMP: $8M net buying (68% buy ratio)

• CRV: $12M net buying (75% buy ratio)

Analysis: Smart money is rotating back into DeFi governance tokens after 3-month lull. Historical pattern suggests 2-3 week accumulation before 30-50% moves.

Action: Watch for continuation. If net flow stays positive for 14 days, high probability of trend continuation.

Pattern #2: L2 Narrative Building

Rank #4-6 whales concentrated in:

• ARB: $22M net buying (65% buy ratio)

• OP: $18M net buying (70% buy ratio)

• MATIC: $9M net selling (35% buy ratio)

Analysis: Selective L2 accumulation. Arbitrum and Optimism seeing inflows while Polygon sees outflows. Narrative shift to Ethereum-aligned L2s.

Action: Consider ARB/OP over MATIC. Whale preference clear.

Pattern #3: Memecoin Profit-Taking

Rank #7-10 whales show:

• PEPE: $25M net selling (30% buy ratio)

• DOGE: $31M net selling (28% buy ratio)

• SHIB: $19M net selling (32% buy ratio)

Analysis: Major distribution phase in memecoins. Whales took profits after recent rallies. Expect consolidation or retracement.

Action: Avoid new memecoin longs until whale selling subsides.

Pattern #4: AI Token Accumulation

Cross-cutting pattern across ranks #2, #5, #8:

• FET: $14M net buying (78% buy ratio)

• RNDR: $11M net buying (73% buy ratio)

• OCEAN: $6M net buying (69% buy ratio)

Analysis: Multiple whales independently accumulating AI sector. Distributed buying is stronger signal than single whale.

Action: AI narrative building strength. Consider sector exposure.

How to Follow Whale Trades

Real-Time Monitoring Strategy

Step 1: Daily Whale Dashboard Check

• Review Top 10 Whales section on Sonar dashboard

• Note any new whales entering the top 10

• Check if existing whales changed their buy/sell ratios

Step 2: Individual Whale Deep Dive
Click on specific whale addresses to see:

• Full transaction history with reasoning

• Counterparty analysis (which DEXs/CEXs)

• Confidence scores for each trade classification

• Token preference patterns

Step 3: Pattern Recognition
Look for:

Clustering: 3+ whales buying same token

Persistence: Same whale buying for 5+ days straight

Size: Individual transactions >$1M show high conviction

Speed: Rapid accumulation often precedes news/catalysts

Step 4: Risk Management

Never blindly copy whale trades:

• Whales have different time horizons (often 3-6 months)

• Whales can handle 30-50% drawdowns

• Whales may have inside information

• Whales' average buy price may be very different

Smart Following Approach:

• Use whale accumulation as confirmation for your own analysis

• Wait for technical entry points even if whales already bought

• Size positions smaller than whales (they have deeper pockets)

• Set stop losses 10-15% below whale entry zones

Advanced Technique: Whale Cohort Analysis

Track groups of whales that move together:

DeFi Specialists: Always in governance tokens

NFT Whales: Heavy ETH accumulation before big drops

Smart Money: Early in trends, early out of tops

Diamond Hands: Long-term holders, ignore short-term volatility

Red Flags to Avoid:

• Single whale buying while rest are selling

• Whale buying on way down (catching falling knife)

• Whale transactions on low-liquidity pairs (potential manipulation)

• Whale selling accelerating (distribution phase)

Using Sonar's Whale Tools:
1. Set up whale address watchlists
2. Enable notifications for large transactions
3. Compare 24h vs 7d whale sentiment
4. Cross-reference with community sentiment polls
5. Export transaction data for deeper analysis

Practical Example:
Whale 0x1234 (Rank #3) buys $8M AAVE over 3 days while community sentiment is 65% bearish. This divergence signals insider confidence. Wait for support level test, enter with 2% position, add on confirmation.