Realized P&L
Cost Basis
3.69 SOL
Proceeds
1.96 SOL
On-Chain Verification
Cost basis averaged across 10 buy transactions
Trade Flow
BUY (avg of 10)
3.69 SOL
11.67M Ecv1NVMf
LOSS
-1.72 SOL
-46.7%
Other Ecv1NVMf Trades by This Strategy (12)
| Action | SOL | P&L | Time | Details |
|---|---|---|---|---|
| BUY | 2.66 SOL | - | 11d ago | View |
| SELL | 2.67 SOL | - | 11d ago | View |
| BUY | 0.61 SOL | - | 11d ago | View |
| BUY | 0.36 SOL | - | 11d ago | View |
| BUY | 0.60 SOL | - | 11d ago | View |
| BUY | 1.45 SOL | - | 11d ago | View |
| SELL | 6.45 SOL | - | 29d ago | View |
| BUY | 1.17 SOL | - | 29d ago | View |
| BUY | 1.16 SOL | - | 29d ago | View |
| BUY | 0.58 SOL | - | 29d ago | View |
| BUY | 1.74 SOL | - | 29d ago | View |
| BUY | 2.34 SOL | - | 29d ago | View |
About This Trade
Stratium's automated copy trading strategy executed a losing SELL of Ecv1NVMf for -1.7207 SOL (-46.7%). The position was entered at 3.6854 SOL and exited at 1.9647 SOL — a net loss of 1.7207 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. Ecv1NVMf is a Solana SPL token traded on decentralized exchanges including Jupiter and Raydium. Its mint address is Ecv1NVMfYSUW3YQ48siC8s7mdrvqp2syHWGi1rDdBAGS. 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 Ecv1NVMf, 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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