Realized P&L
Cost Basis
3.56 SOL
Proceeds
1.04 SOL
On-Chain Verification
Cost basis averaged across 3 buy transactions
Trade Flow
BUY (avg of 3)
3.56 SOL
21.04M 677CpPEo
LOSS
-2.51 SOL
-70.7%
Other 677CpPEo Trades by This Strategy (12)
| Action | SOL | P&L | Time | Details |
|---|---|---|---|---|
| SELL | 0.38 SOL | - | 9d ago | View |
| SELL | 0.34 SOL | - | 12d ago | View |
| BUY | 0.30 SOL | - | 14d ago | View |
| BUY | 0.34 SOL | - | 14d ago | View |
| SELL | 0.49 SOL | - | 15d ago | View |
| BUY | 0.60 SOL | - | 17d ago | View |
| SELL | 0.62 SOL | - | 18d ago | View |
| BUY | 0.70 SOL | - | 19d ago | View |
| BUY | 0.90 SOL | - | 22d ago | View |
| SELL | 0.92 SOL | - | 22d ago | View |
| BUY | 1.50 SOL | - | 24d ago | View |
| BUY | 3.00 SOL | - | 24d ago | View |
About This Trade
Stratium's automated copy trading strategy executed a losing SELL of 677CpPEo for -2.5148 SOL (-70.7%). The position was entered at 3.5583 SOL and exited at 1.0435 SOL — a net loss of 2.5148 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. 677CpPEo is a Solana SPL token traded on decentralized exchanges including Jupiter and Raydium. Its mint address is 677CpPEoKVo9tyCyBHqtiXZivUPdPXEigd3FspWuBAGS. Copy trading this token through Stratium replicates the entry and exit timing of curated on-chain strategies — without ever exposing your private key or requiring CEX custody. Stratium is an automated Solana copy trading bot that mirrors trades from curated high-performing wallets. When a tracked strategy enters or exits 677CpPEo, 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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