[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Evans Web3 Dev [@evansWeb3Dev](/creator/twitter/evansWeb3Dev) on x 6372 followers Created: 2025-07-15 11:38:37 UTC I've dissected $VIRGEN during its ATH run using @TheSWARM_ai Copilot. From 05/28 to 05/29, while it pushed to ~$34M market cap, I captured and analyzed over 3k transactions. Letβs break it down: BUY vs SELL (volume in USD) πΉ Buy: $XXXXXXXXXX - $VIRGEN Total: 25.5m πΉ Sell: $XXXXXXXXXX - $VIRGEN Total: 24.8m π’ Clear accumulation trend during the run. IQ (Wallet Trading Intelligence) This shows how well wallets time entries/exits: π§ XXXX% = Average or Below Avg π§ XX% = Above Avg or Gifted π§ XXX% = Genius-tier Not many elite traders, but definitely some sharp ones riding the wave early. MASS (Wallet's share of the supply) π¬ XXXX% = Dolphin (strong diversified holders) π XXXX% = Fish and Plankton π» XXXX% = Ghosts (no position anymore) π§ Orcas = only XXX% No Whales, no Mobys. But solid distribution, especially in mid-sized players. FLOW (Wallet Influence on Volume) π XXXX% = Dry wallets π§ XX% = Damp π XXX% = Torrent/Flood tier (high flow) Most wallets are low-volume noise, but some real players moved weight during the spike. EPOCH (How Early They Entered) β³ XXXX% = Core (middle of the trend) π XXXX% = Ultra OG / OG π XXXX% = Genesis / Early Adopter The move attracted mostly mid-timeline wallets, but OGs definitely showed up. REPUTATION (Wallet conviction) π XX% = A Range π XXX% = D or F Most wallets showed some level of conviction, even under ATH pressure. Few dumpers. If you really want to understand what changed between $VIRGEN ATH day and today (now chilling at ~3.5m MC, 10x lower)... You need to run your own $SWARM scan on current flow. Compare it to this data. Spot the difference. Thatβs how you read market and find real entries (and exits) before the herd.  XXXXX engagements  **Related Topics** [accumulation](/topic/accumulation) [united states dollar](/topic/united-states-dollar) [market cap](/topic/market-cap) [$34m](/topic/$34m) [web3](/topic/web3) [$virgen](/topic/$virgen) [Post Link](https://x.com/evansWeb3Dev/status/1945085589092516086)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Evans Web3 Dev @evansWeb3Dev on x 6372 followers
Created: 2025-07-15 11:38:37 UTC
I've dissected $VIRGEN during its ATH run using @TheSWARM_ai Copilot.
From 05/28 to 05/29, while it pushed to ~$34M market cap, I captured and analyzed over 3k transactions.
Letβs break it down: BUY vs SELL (volume in USD) πΉ Buy: $XXXXXXXXXX - $VIRGEN Total: 25.5m πΉ Sell: $XXXXXXXXXX - $VIRGEN Total: 24.8m π’ Clear accumulation trend during the run.
IQ (Wallet Trading Intelligence) This shows how well wallets time entries/exits: π§ XXXX% = Average or Below Avg π§ XX% = Above Avg or Gifted π§ XXX% = Genius-tier Not many elite traders, but definitely some sharp ones riding the wave early.
MASS (Wallet's share of the supply) π¬ XXXX% = Dolphin (strong diversified holders) π XXXX% = Fish and Plankton π» XXXX% = Ghosts (no position anymore) π§ Orcas = only XXX% No Whales, no Mobys. But solid distribution, especially in mid-sized players.
FLOW (Wallet Influence on Volume) π XXXX% = Dry wallets π§ XX% = Damp π XXX% = Torrent/Flood tier (high flow) Most wallets are low-volume noise, but some real players moved weight during the spike.
EPOCH (How Early They Entered) β³ XXXX% = Core (middle of the trend) π XXXX% = Ultra OG / OG π XXXX% = Genesis / Early Adopter The move attracted mostly mid-timeline wallets, but OGs definitely showed up.
REPUTATION (Wallet conviction) π XX% = A Range π XXX% = D or F Most wallets showed some level of conviction, even under ATH pressure. Few dumpers.
If you really want to understand what changed between $VIRGEN ATH day and today (now chilling at ~3.5m MC, 10x lower)... You need to run your own $SWARM scan on current flow. Compare it to this data. Spot the difference.
Thatβs how you read market and find real entries (and exits) before the herd.
XXXXX engagements
Related Topics accumulation united states dollar market cap $34m web3 $virgen
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