Machi generated $1.41 billion in trading volume on Paper Trade, accumulating a net trading loss of $416,000. Despite the negative trading performance, the high-volume activity qualified him for significant platform incentives tied to participation metrics. Staking rewards substantially mitigated the deficit as Machi earned 57.6 million PAPER tokens and received $341,000 in USDC distributions. These incentive payouts reduced his total net loss from the campaign to just $74,700, demonstrating how reward structures can offset trading losses in testnet environments.