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Papertrade traders lose $18.6 million while stakers collect $12.57 million in rewards

The platform's design shifts financial risk to traders while rewarding stakers, potentially incentivizing risky trading behavior and market volatility.

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Papertrade opened on HyperEVM on October 10 offering up to 1000x leverage on BTC and ETH perpetuals. Within hours traders had realized about $18.6 million in net losses, while the people staking the platform’s PAPER token collected roughly $12.57 million. The gap between those two numbers is where the entire design lives.

What the platform actually is

Papertrade is a synthetic perpetuals exchange. Traders take leveraged positions on price movements without holding the underlying assets. That single choice determines everything about the economics.

The engine room is a liquidity pool called the Martingaler LP. It launched with zero liquidity and is funded entirely by what traders lose. There is no external market maker depositing capital to make the pool whole. When traders lose, the pool absorbs it. When traders win, the pool pays out.

The headline number and the catch

Staking rewards equaled about 69% of net trading losses. That comparison is arithmetically true and almost completely misleading, and understanding why is the only way to read this story correctly.

The payouts do not go back to the traders who lost the money. They flow to PAPER stakers instead.

Losing traders do not walk away empty-handed, but what they receive is not a refund. For every dollar they lose, the protocol mints 100 new PAPER tokens and hands them over. A trader who lost $1 million receives 100 million freshly minted PAPER tokens, which are immediately sold into whatever market exists for them. That is dilution transferred from the trader, not compensation returned to the trader.

Stakers earn from two sources: they receive 1% of the profit and loss traders realize, and they pocket any gains that pile up in the liquidity pool beyond its $5 million cap.

The first 24 hours in numbers

The scale is what makes the structure visible:

  • Over $300 billion in notional trading volume on day one
  • Nearly $13.89 billion in liquidations over the same stretch
  • Liquidity pool grew to approximately $5 million, the cap where excess starts flowing to stakers
  • No payout debt queued, meaning the pool carried no backlog of obligations from trading
  • About 94% to 95% of the roughly 3.17 billion PAPER in circulation was staked shortly after launch

That last figure is the one to sit with. Essentially the entire supply was staked within hours of launch. Staker participation was not a partial cohort; it was near-total. Which means the “other side of the ledger” was not a random set of holders who happened to stake. It was almost everyone holding the asset.

Why the 69% figure misleads

A reader who sees “rewards equal 69% of losses” concludes that traders recovered most of what they lost. Nothing in the structure supports that conclusion.

Money did not move from traders to stakers as a recovery. It moved from traders to stakers as a fee, and the traders’ side of that exchange was settled in newly issued PAPER rather than in the assets they lost. The correct reading is: of every dollar lost by traders, roughly 69 cents was paid out to stakers and approximately 31 cents stayed in the pool, capped at $5 million, with the excess also going to stakers.

The design is not broken. It is doing exactly what it was built to do, which is convert trader losses into staker yield. Calling that a flaw requires arguing the purpose was something else.

What is not established

Neither source reports audited figures, and the two disagree on the headline. Crypto Briefing puts net realized losses at $18.6 million and staking rewards at $12.57 million. The Defiant reports $18.2 million in net realized losses and $12.6 million in cumulative staking rewards. The difference is small and consistent with different snapshot times during a fast-moving first session, but the two numbers have not been reconciled by either outlet.

More importantly, one day of data does not establish that the model survives contact with sustained volume. The pool being at its cap with no queued payout debt on day one describes a starting condition, not a proven steady state. What happens when realized trader losses turn positive for a sustained period, or when staker participation falls below near-total, is not answered by this data.

Sources and verification time

Sources