7qcXe4n7 (7qcXe4n7)
Mar 22, 2026, 07:56:16 PM UTC (29d ago)
Realized P&L
Cost Basis
0.45 SOL
Proceeds
35.39 SOL
On-Chain Verification
Trade Flow
PROFIT
+34.94 USDC
+7841.1%
Other 7qcXe4n7 Trades by This Strategy (9)
| Action | SOL | P&L | Time | Details |
|---|---|---|---|---|
| SELL | 46.73 USDC | - | 29d ago | View |
| SELL | 10,343,747.69 SOL | - | 29d ago | View |
| SELL | 4,660,808.44 SOL | - | 29d ago | View |
| SELL | 100.33 USDC | - | 29d ago | View |
| BUY | 0.30 SOL | - | 3/22/2026 | View |
| SELL | 1,761,029.92 SOL | - | 3/22/2026 | View |
| SELL | 6,100,125.74 SOL | - | 3/22/2026 | View |
| SELL | 3,920,779.86 SOL | - | 3/21/2026 | View |
| SELL | 1,648,777.44 SOL | - | 3/20/2026 | View |
About This Trade
Stratium's automated copy trading strategy executed a profitable SELL of 7qcXe4n7 for +34.9446 SOL (+7841.1%). The position was entered at 0.4457 SOL and exited at 35.3903 SOL — a net gain of 34.9446 SOL. This trade was executed in 0ms and is fully verifiable on-chain via Solscan at the transaction signature linked above. Every figure on this page is derived directly from on-chain Solana data — no estimates, no off-chain APIs. 7qcXe4n7 is a Solana SPL token launched via pump.fun, a permissionless token launchpad on Solana. Pump.fun tokens follow the bonding curve model — early buyers get the lowest price, with liquidity automatically migrating to Raydium once the market cap threshold is reached. Copy trading pump.fun tokens through Stratium lets users mirror wallets that identify high-conviction entries before the wider market. Stratium is an automated Solana copy trading bot that mirrors trades from curated high-performing wallets. When a tracked strategy enters or exits 7qcXe4n7, Stratium replicates the trade proportionally in the user's wallet within milliseconds. You have access to your private keys and can export them at any time. Start at t.me/stratiumsol_bot to copy trades like this automatically.
Past performance does not guarantee future results. Trading memecoins and other Solana tokens involves significant risk of loss. The data shown reflects the performance of strategies being copied, not individual user accounts — your results will vary based on deposit size, scaling factor, and market conditions. Never trade with funds you cannot afford to lose.
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