v1 PnL
+0.000SOL
v1 Win Rate
0.0%
v1 Trades (0W / 0L / 0E)
0
Wallet Balance
0.000SOL
Next Analysis
0/30 trades
0 cycles completed
Win Rate Change
0.0%
Neural Network
Chilling... waiting for action0 learning cycles
IDLE
Bot Evolution
Newborn
Fresh Neural Network
Experience Points0 XP
0500
Exp+0
Acc+0
AI+0
Adapt+0
OPUS Analysis Log
First analysis after 30 trades
How Paper Trading Helps OPUS Learn
📝 PAPERScore Zone Testing
Tokens with scores in the "uncertain zone" (between safe and risky) are paper traded. If they would have won, OPUS learns to expand its entry range.
💡 FILTER TESTFilter Learning
Tokens rejected by OPUS's filters are still paper traded to see if they would have won. If filter-rejected tokens consistently win, OPUS loosens those filters.
Paper trades let OPUS learn from every opportunity without risking your SOL. Real trades build profits, paper trades build intelligence.
Cumulative PnL
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Rolling Win Rate
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Positions (0/3)
LIVE
No open positionsScanning for opportunities...
Recent Trades
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TokenPnLHoldExitResult
No trades yet