FROG26 (FROG26)
Jan 8, 2026, 04:11:53 PM UTC (1/8/2026)
The official FROG26
Realized P&L
Cost Basis
0.13 SOL
Proceeds
0.13 SOL
Held For
6m 17s
On-Chain Verification
FIFO P&L Breakdown (1 step)
Trade Flow
LOSS
-0.0033 SOL
-2.5%
Other FROG26 Trades by This Strategy (6)
About This Trade
Stratium's automated copy trading strategy executed a losing SELL of FROG26 for -0.0033 SOL (-2.5%) held for 6m 17s. The position was entered at 0.1313 SOL and exited at 0.1281 SOL — a net loss of 0.0033 SOL. This SELL was calculated across 1 FIFO cost-basis step, matching each sold token batch against its original purchase price. FIFO accounting ensures the PnL reflects the true profit on the specific tokens sold in this transaction. Based on the 6m 17s holding period, this trade is classified as a short-duration momentum trade (6m 17s hold). The strategy entered FROG26 and exited when the position reached its target or the monitored wallet closed its position — Stratium mirrors the exit automatically. This trade was executed in 4506ms 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. FROG26 is a Solana SPL token traded on decentralized exchanges including Jupiter and Raydium. Its mint address is 8YoEib3FPJoQb1RA6nX9MjDTFk2pnX3cKyqZ8YV36crR. 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 FROG26, 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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