Papertrade

1000x leverage, no LPs, and a queue that pays winners from future trader losses. Papertrade is trying to bootstrap a perp exchange from zero.

PapertradeMoni Score7745WebsiteDocs

The protocol returns a winner's margin immediately, but any profit it cannot cover becomes a public claim. Losing traders refill the cash pot and receive PAPER, a token tied to future platform earnings.

That makes the payout queue the product's main constraint. Papertrade can start without outside liquidity, but it still needs enough losing flow to pay winners on time.

This research is based on information available on October 3, 2026. Deposits are scheduled to open on October 8, with trading set for October 10.

How a Papertrade position works

Papertrade describes itself as a fully onchain perpetuals exchange with up to 1000x leverage, no funding fees, no slippage, and a liquidity pool that can grow from zero. Those claims come from the project's first announcement.

Economically, it looks closer to a casino than a normal exchange.

On Hyperliquid or Lighter, longs and shorts meet through an order book. Market makers provide liquidity, while traders pay spreads, fees, and funding. Papertrade does not match traders with each other. The protocol takes the other side of every position.

Hyperliquid supplies the reference price. Papertrade uses the midpoint between its best bid and ask for entries and exits, but never opens a hedge there. It records the position, follows the reference price, and settles the result from its own cash pot.

Launch markets are limited to BTC and ETH. Blurr explains why in the founder interview: even the most liquid assets are hard to manage at 1000x. A faster, easier-to-move coin could let traders take more from the protocol than it collects from liquidations. He mentions SOL at something closer to 300x as a possible later addition, not a confirmed market.

Positions are isolated. Traders cannot use cross-margin, add margin after opening, or close only part of a trade. Current docs set a $10 million per-user cap, while older interview examples use $20 million. The live contract setting will settle the difference.

The leverage is easiest to see with round numbers. Put up $100 at 1000x and the position controls $100,000. A 0.10% move is worth $100, equal to the starting margin. Papertrade expects to liquidate earlier, after roughly a 0.05% move against the trader. A few price ticks can decide the trade.

There are no funding payments. Blurr argues that this can work for BTC and ETH because spot and perp prices usually stay close. Stocks, gold, and other markets with overnight or weekend closures are harder. He discusses that limit directly in the interview (19:05).

What "zero slippage" leaves out

Papertrade has no local order book, so large orders do not eat through multiple price levels. Every trade uses the midpoint of Hyperliquid's best bid and ask. That is what the project means by zero slippage, although the final payout can still be lower than the raw profit.

Winning trades pass through a payout curve. Small market moves receive a heavier reduction, while larger moves get closer to the full raw profit. Without that curve, traders could open huge positions and repeatedly extract money from tiny changes in the reference price.

A trade might show $1,000 in raw profit and pay only $600 after the curve. That figure is illustrative; the live settings determine the actual payout. Blurr says the team adapted much of this math from Rollbit (23:27).

"Zero slippage" therefore applies to entry and exit pricing, not the amount that reaches the trader. Before confirmation, the app needs to show the reference price, raw profit, profit after the curve, and any queue delay.

Fees are not based on position size. In the interview, Blurr describes a charge equal to 1% of profit and loss (27:15). The contracts still need to show the exact calculation and its order relative to the payout curve.

The queue, in plain English

Start with an empty cash pot.

A trader deposits $100 and closes with another $100 in profit. Papertrade can return the original margin, but it does not yet have the extra $100. The unpaid profit enters the queue.

The next trader loses $40, so the first winner receives $40 and keeps a $60 claim. Another $60 loss clears the claim. Only then do later losses begin building a positive balance for the protocol.

If a second winner arrives before the first claim is paid, they wait behind it. The queue is first in, first out.

The official risk docs allow the cash pot to go negative. Blurr gives a larger example in the interview: with $5 million available and a $6 million win, the trader gets $5 million now and waits for the last $1 million.

This is where liquidity risk lands. A long wait can push traders away, which also removes the losing flow needed to repay the people already in line. The team treats the queue as an early backstop and says the ideal outcome is that it barely gets used (23:04).

PAPER turns losses into ownership

PAPER starts with zero supply. The project says there is no premine, team or VC allocation, airdrop, or vesting. Tokens are minted when users realize a trading loss or get liquidated.

Current docs set the flat rate at 100 PAPER for every $1 lost while the protocol's tracked cash balance remains below $2 million. A $100 loss mints 10,000 PAPER.

Above $2 million, the mint curve starts to tighten. Its high-water mark, H, tracks cumulative LP gains above that threshold. The marginal rate is 100 × (120M / (120M + H))² PAPER for each eligible dollar lost.

The curve heavily favors the earliest farmers. At H = $50M, the rate is about 50 PAPER per dollar. At $120 million it falls to 25, after half of the curve's 12 billion tail has been minted. The rate reaches roughly 10 at $260 million, 5 at $420 million, and 1 at $1.08 billion. By then, the tail has emitted 10.8 billion PAPER.

The 12 billion figure is not a hard cap. It is the mathematical limit of the declining tail if the high-water mark keeps rising. When tracked LP falls below $2 million, the flat 100 PAPER rate returns, creating paths to an infinite mint (28:49).

The interview is inconsistent on the exact number: Blurr wavers between 100 and 1,000 PAPER per dollar (27:53). Current docs say 100, so that is the better working figure until the contracts are published.

PAPER can be staked immediately. Stakers are meant to receive most house fees and cash above the protocol's target balance. Blurr puts the initial target near $5 million: if the pot reaches $6 million and the target does not change, the extra $1 million can go to stakers (27:28). The protocol keeps enough revenue to cover transaction costs.

PAPER will not be freely tradable at launch. Users can mint and stake it, but transfers come later in the launch plan. Without a market price, the 10,000 PAPER from a $100 loss could be worth $5, $50, or more than the loss. Nobody knows yet.

That uncertainty may drive early trading. Anyone expecting PAPER to appreciate could intentionally lose money to farm it. Blurr suggests using an agent and says Papertrade was designed to support that behavior (32:49).

Intentional losses add cash and help clear the queue, but they can make demand look healthier than it is. If bots chasing PAPER create most early volume, activity may collapse when emissions fall or the token opens at a weak price.

One pre-launch simulation points to a less obvious farming result. Using live BTC and ETH prices, 100x produced the cheapest PAPER in the first snapshot: $2.55 per 1,000 tokens. Adaptive leverage came in at $2.81, 20x at $4.38, and 1000x at $5.06. The 3x run was the most expensive at $17.38.

These are early results, not live product data. The researcher is still testing paired trades and different LP conditions, while fees, the payout curve, and liquidation timing can all change the ranking. Still, the snapshot makes one point clear: the highest leverage is not automatically the cheapest way to farm PAPER.

The early-holder loop to watch

There is a straightforward long game here. Farm a large PAPER position while the rate is high, stake it, then bring in more trading activity. Later users add cash and fee income but receive fewer tokens for the same loss. When transfers finally open, the early position can be sold into a market that now has a revenue story.

The published curve creates this early-holder advantage without any hidden allocation. There is no public evidence that the founders will farm through linked wallets or reserve bugs for themselves. The measurable concern is access: PAPER distribution begins before direct contract access opens, while project-run relayers control order flow. Public code and wallet distribution will show whether the first large bundles came from ordinary users, coordinated farming, or team-linked wallets.

A more aggressive version would let PAPER serve as collateral for new positions. An early token bundle could then become leverage, while liquidations move tokens toward a treasury or other large holders. Current docs do not say PAPER will be accepted as collateral, so this is a scenario to monitor rather than part of the launch design.

Each group takes a different part of the risk:

• Losing traders fund the system and receive PAPER, which may never cover what they lost.

• Winners recover their margin but may wait for profit.

• PAPER stakers earn fees and cash above the target balance, while absorbing dilution and weak-volume risk.

• Papertrade takes the combined profit and loss of all users while paying transaction costs and running trade submission.

PAPER behaves more like a claim on the house than a normal points token. Its value depends on trading losses, fees, and whether users stay after the early farming period.

Does the math work?

An independent PaperTrade-Simulations repository ran about 3.6 million historical high-leverage Hyperliquid trades through 608 scenarios. All 608 finished solvent, 81.2% never entered debt, and the worst queue reached about $61,974 before clearing the same day. In the model, the cash pot hit its $5 million cap within five days.

The token numbers were just as aggressive: final PAPER supply reached 8.63 billion and simulated staker fees totaled $248.1 million. These results show that plentiful losing flow can fund the design. They do not show that a new venue will attract that flow or keep it once real users see the queue.

Even the weakest scenario assumed 25% of the selected Hyperliquid activity. The source traders used less than 1000x leverage, and mixing their trades removed the crowd behavior that appears when many users lean the same way. The model also excluded price manipulation, relayer delays, failed liquidations, farming bots, and churn after slow payouts.

The dataset sits in an outside download without a published integrity hash. The repository has one commit and no independent reproduction. A stronger follow-up would cut the assumed trading flow, cluster positions on the same side, delay transactions, and include deliberate attempts to move the reference price. For now, the model is useful for testing assumptions but not enough to underwrite deposits.

The good flywheel and the bad one

In the healthy version, high leverage brings traders in, losses build the cash pot, and staking routes part of the income back to PAPER holders. If that reward is attractive, farming supplies more of the cash needed to keep payouts moving.

The useful variable is net trader loss relative to new winning claims. Positive flow grows the pot; negative flow lengthens the wait and weakens the incentive to trade or farm. Headline volume hides this because 1000x turns very little margin into huge notional numbers.

The metrics that matter are:

• peak queue debt and average wait time;

• the share of winning profit paid immediately;

• cash left after unpaid claims;

• PAPER minted per net dollar retained;

• repeat use after a trader's first liquidation;

• fee income after transaction costs.

Those figures separate a growing cash balance from leveraged volume spinning around a thin pool of money.

The price feed is part of the risk

Papertrade reads a public price from Hyperliquid instead of running its own signer group. But that order book can move. An attacker could push its best bid and ask, trade at the distorted Papertrade price, then let the market snap back. The attack works when Papertrade holds more money than it costs to move Hyperliquid.

That logic sits behind the planned $5 million cap: the team wants the pot to remain below the likely cost of moving the BTC or ETH book (20:45). The assumption has not been independently tested.

Stale prices create another opening. If HyperEVM pauses while Hyperliquid keeps moving, Papertrade may briefly quote an old price. A trader holding both a long and a short could close the losing side against that stale quote and leave the winner open. Blurr discusses freezing or settling the market in this situation (12:21).

At 1000x, a few seconds matter. The price feed, trade queue, and liquidation system must stay in sync or the delay can change who wins and who pays.

The launch will be controlled at first

Papertrade runs onchain, but day-one users will go through project-operated infrastructure rather than the contracts directly.

The launch plan has four stages:

1. Deposits open on October 8 while trading stays closed.

2. Trading starts on October 10 through the official site and project-run relayers.

3. Direct contract access opens later for users, apps, and agents.

4. Builder rewards and PAPER transfers come in later stages.

Relayers submit user trades to the chain and are meant to stop bots from starting a gas war. Requests will not receive equal priority: liquidations come before closes, closes before new positions, and larger trades may jump smaller ones (interview). Early users must trust these servers to stay online and apply that order fairly when the chain is busy.

Papertrade plans to cover normal users' blockchain fees. Small withdrawals may wait until fees fall, while large positions get faster service. Emergency controls also let the team stop new positions, close a market, change limits, and manage relayers. The product remains team-dependent until direct access opens and those powers are fully documented.

Where the idea came from

The idea predates the September campaign by more than two years. Blurr says he and Jez wrote their first paper on the queue system in summer 2024 after testing it with blackjack and coin flips (02:45). The Martingaler whitepaper describes games that begin without a funded house and carry unpaid winnings as liabilities.

By January 2025, Jez was discussing Rollbit's mix of extreme leverage, smooth entry prices, asymmetric payouts, and casino economics (08:26). He also framed a casino token as ownership in future cash flow (11:42). In September, he publicly called Blurr his business partner (35:55) and explained why leveraged markets can run out of collateral before losers generate enough money to pay winners (1:23:12). Papertrade's queue carries that shortfall forward.

The queue survived into the launch design, but the token changed. The whitepaper used another emission model and discussed buybacks and burns; the current version uses staking and a declining rate. Published contracts should settle which settings are live.

The team

Papertrade was announced as a project by Jez and Blurr.

Jez is Colin Hong. A World Poker Tour profile lists MIT, Morgan Stanley, and a Venture Partner role at Standard Crypto. His public writing and interviews have covered trading, leverage, and crypto market structure for several years.

jezMoni Score23751Website

Blurr is pseudonymous. Most public information about him comes from two long interviews and the whitepaper. He says he met Jez in New York in 2021 and that Papertrade was built by only two or three people (31:10). That leaves contracts, relayers, risk settings, and emergency response in very few hands.

blurrMoni Score3279

Funding has not been disclosed. The fair-launch claim applies to PAPER allocation; Jez's role at Standard Crypto does not show that the fund invested in the project.

Competition and distribution

Papertrade sits between a perp exchange and an online casino. Hyperliquid and Lighter offer deeper markets and immediate settlement; Papertrade offers much more leverage, no funding, and no local order-book slippage, but the house takes the other side and profits may be delayed.

gTrade is the closest economic comparison because traders face a shared pool priced from external markets. The difference is the cold start: gTrade needs funded liquidity, while Papertrade converts uncovered winnings into debt. Rollbit shows that simple, extreme-leverage trading has an audience. Trade.xyz and other HIP-3 markets solve another problem by adding assets to Hyperliquid rather than removing the need for upfront liquidity.

The mechanism is easy to copy. Any durable edge must come from reliable payouts, cash already in the pot, execution, and distribution. Builder codes could help by sending 1% of referred trade revenue to outside apps, although direct contract access and third-party integrations are not live yet.

The project already has an audience. Its September 29 launch video passed one million views on X (post), while the detailed launch post reached about 133,000 views and more than 1,000 likes (post). That should produce a noisy first week. The first useful demand signal comes later, when users have been liquidated, received PAPER, or waited for profit and still decide to trade again.

What is ready and what is still missing

Papertrade has detailed docs, a whitepaper, and a concrete launch plan. As of October 2, however, there were no official contract addresses, verified source code, or public repository. Users could not check live fees, token emissions, payout rules, emergency controls, or upgrade permissions.

Papertrade hired Guardian Audits, and Guardian publicly confirmed the relationship. At the research cutoff, the Guardian repository still had no Papertrade report, reviewed code version, findings, or fixes.

Some protections are specified: a temporary trading key cannot withdraw funds, and liquidations or queue payments should be callable by anyone. Those claims still need to match the deployed code.

At 1000x, those details need public proof before deposits open: official contracts, matching source, a completed audit, and a small deposit-trade-withdraw test that anyone can follow.

What would prove the model

Launch day needs to prove the full path: deposit, open, close or liquidation, payout, and withdrawal without manual help. Before confirmation, the app should show raw profit, adjusted profit, and queue status.

A sharp BTC or ETH move will be the first real stress test, especially if traders lean heavily to one side. It will hit liquidations, position limits, pricing, and the queue at once. Any debt should be judged by how quickly it clears, not only by its peak size.

After a month, repeat use matters more than launch volume. The useful numbers are returning traders, the share of bot activity, PAPER minted per dollar added to the pot, and staking income after transaction costs.

Once PAPER becomes tradable, its market price will put a value on the tokens earned through losses. Direct buying may also pull activity away from the trading product if it is cheaper than farming.

Outside distribution comes later. Direct integrations and working builder-code revenue would show that other apps find the mechanism useful.

Bottom line

Papertrade does not remove the need for liquidity. It asks trader losses to create that liquidity over time, while PAPER rewards the people supplying those losses.

The first serious burst of volatility will decide whether the delay works as a bootstrap mechanism or simply turns a liquidity shortage into protocol debt. Peak volume will not answer that. Payout speed and repeat use will.

Main sources: Papertrade, docs, launch plan, Martingaler whitepaper, and the Blurr interview.