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Decode a Whale Wallet's 24h Activity

The trader question: "Who is MfDuWeqS… and what are they doing? Are they accumulating, distributing, or making markets?"

A common trader workflow: Etherscan / Solscan shows you transactions, but it doesn't aggregate USD flow per token by direction. The MCP makes that one query.

How to Find a Wallet to Investigate​

We pulled this wallet from the top traders by USD volume on WSOL in the last 24h:

"Using the Bitquery MCP, find the top 5 wallets that traded WSOL on Solana in the last 24 hours, sorted by total USD volume."

That returned MfDuWeqSHEqTFVYZ7LoexgAK9dxk7cy4DFJWjWMGVWa at #1 with $83.6M in WSOL volume across 49,385 trades in 24 hours. That density (~34 trades / minute) is a giveaway: it's an aggregator / market-maker bot. Let's dissect it.

Ask the Agent​

"Using the Bitquery MCP, for wallet MfDuWeqSHEqTFVYZ7LoexgAK9dxk7cy4DFJWjWMGVWa, break down 24h activity per token: trade count, USD bought, USD sold, and net flow."

Result (live data, 2026-04-23 snapshot)​

Whale wallet 24h buy vs sell volume per token

TokenTradesBought (USD)Sold (USD)Net flow (USD)Behavioural read
WSOL49,405$39.2M$44.5M−$5.3MNet distributing — a few % of WSOL out of the wallet.
cbBTC16,740$7.0M$6.4M+$0.6MRoughly balanced, slight accumulation.
WETH9,190$3.9M$5.2M−$1.3MNet distributing.
MET25,517$4.2M$4.2M~$0Pure two-sided market making.
TRUMP997$3.3M$1.2M+$2.1MStrong directional accumulation.
EURC1,837$1.0M$1.1M~$0Stablecoin pass-through.
WBTC2,948$1.2M$0.7M+$0.5MModerate accumulation.
JLP7,023$0.9M$1.0M~$0Two-sided.

Behavioural signature: the wallet is overwhelmingly two-sided on WSOL/cbBTC/WETH/MET/EURC (classic market-maker profile), but takes a clear directional long on TRUMP. That's the kind of mixed strategy you'd want to copy-trade selectively, not blindly.

What This Tells a Trader​

  • Spot bots vs humans. A wallet with thousands of trades on a handful of tokens at near-balanced buy/sell is almost certainly a bot. A wallet with a few large directional trades is a discretionary actor.
  • Find directional whales worth copying. The MM-style flow on this wallet is noise — but the TRUMP position is signal. The same wallet can produce both.
  • Audit a token's "smart money". Ask the agent: "For token X, who were the top 10 wallets by USD volume in the last 24h, and what's their net flow?" You'll see whether smart money is accumulating or distributing.
  • Wallet lookups are instant. Even a wallet with 50,000 trades a day comes back in well under a second.

Trader Playbook​

You want to …Just ask the agent
Realised PnL instead of flow"For wallet <X>, compute realised USD PnL per token in the last 7 days."
Mark-to-market unrealised PnL"…and value any open position at the latest token price."
First and last trade of each token"Per token, when did this wallet first buy and last touch it?"
DEX preference for the wallet"Which DEXs does this wallet use the most, by volume?"
Build a copy-trading shortlist"Find wallets that bought any new Pumpfun token in its first 60 seconds in the last 24h, then sold higher within 10 minutes. Rank by hit rate."

Variations the Agent Handles in One Sentence​

  • "Same wallet, same breakdown, but for the last 7 days bucketed daily."
  • "For wallet <X>, show every trade in the last 24h ordered by time, and flag any larger than $500K USD."
  • "For the top 20 wallets by 24h USD volume on Solana, show their net flow per token — find the most directional ones."
  • "Did wallet <X> ever buy <token>? What was the average entry price?"

Take It Further​