Bybit now lists over 200 pre-IPO perpetual contracts. Unitree and Moonshot AI are the latest additions. The product line spans stocks, ETFs, commodities, indices, and private companies. On the surface, this looks like a bold expansion into real-world assets. But behind the headline, the product is a classic CFD wrapped in crypto clothing. The code is not on-chain. The trust is not verifiable. We do not guess the crash; we trace the fault. And here, the fault lies in the valuation mechanism.
Context: Bybit, a centralized exchange, has been aggressively building its TradFi derivatives suite. Pre-IPO perpetuals allow traders to speculate on the valuation of private companies before they go public. Unlike traditional perpetuals tied to liquid cryptocurrencies, these contracts rely on a synthetic index that mirrors the estimated value of firms like Unitree (robotics) and Moonshot AI (large language models). The exchange offers no on-chain settlement, no smart contract logic—just a centralized order book with internal pricing. This is not a DeFi innovation. It is a repackaging of traditional contracts for difference (CFDs) with a crypto front-end.
Core Analysis: I have spent years auditing smart contracts—from the 2x Capital leverage token slippage errors to the Terra/Luna seigniorage race condition. Each time, the lesson was the same: financial engineering in crypto is only as safe as its underlying logic. For pre-IPO perpetuals, the underlying logic is not code but a black-box index. The index provider is not disclosed. The methodology for pricing Unitree or Moonshot AI is not public. In my forensic audit of the Terra collapse, I traced the fault to a specific function call in the Anchor Protocol contracts. Here, there is no function to trace. The price is whatever Bybit says it is.
Verification precedes trust, every single time. But in this product, verification is impossible. There is no on-chain data to audit. No oracle feed to cross-check. The only source of truth is the exchange’s internal ledger. This creates a fundamental information asymmetry. The exchange knows the exact index composition and rebalancing rules. The trader does not. In my experience verifying the Ethereum 2.0 deposit contract, I spent 120 hours confirming that the genesis parameters matched the Geth specifications. That level of scrutiny is absent here.
The technical architecture is trivial: a centralized order book with a matching engine. No ZK-proofs, no rollups, no on-chain settlement. The innovation is purely commercial, not technical. Bybit is betting that traders want exposure to private companies before they list, and that they are willing to trust a centralized counterparty for that privilege. This is a bet on brand trust, not on technological superiority.
Contrarian Angle: The market narrative frames this as a bridge between TradFi and crypto. I see it as a regression. Decentralized exchanges like GMX or Synthetix have shown that derivatives can be settled on-chain with transparent oracles and immutable code. Bybit’s pre-IPO perpetuals are a step backward—they reintroduce the worst of traditional finance: opaque pricing, counterparty risk, and regulatory grey zones. The product is not permissionless. It is not trustless. It is a centralized derivative that happens to trade against USDT.
Consider the regulatory exposure. Pre-IPO perpetuals on private companies may be classified as unregistered security derivatives in the United States, the European Union, and potentially China. The Howey test is straightforward: money invested in a common enterprise with an expectation of profit from the efforts of others. Unitree and Moonshot AI are private firms whose management determines their value. Traders profit from price movements driven by those efforts. This is a textbook security. Code is law, but history is the judge. And history suggests that regulators eventually catch up to products that circumvent securities laws.
Moreover, the valuation risk is severe. Private companies do not have continuous price discovery. Their valuations are set during funding rounds, often months apart. The index used by Bybit is likely interpolated or based on stale data. In a volatile market, this creates an anchor that can diverge wildly from any fundamental value. I saw this dynamic in the Terra collapse: the algorithmic peg relied on an assumed equilibrium that broke under stress. Here, the equilibrium is even flimsier—there is no arbitrage mechanism to correct mispricing because there is no spot market for the underlying shares.
Takeaway: Bybit’s pre-IPO perpetuals are a commercial success in the making—they tap into the AI and robotics hype, attract retail FOMO, and generate trading fees. But they are a technical and regulatory landmine. Within 12 months, I expect at least one major regulator to issue a warning or enforce a ban on such products for non-accredited investors. The liquidity will dry up as the novelty fades. The only sustainable outcome is a shift toward on-chain synthetic assets that use verifiable oracles and open-source code. Until then, treat these contracts as high-risk speculation, not innovation. Truth is not consensus; it is consensus verified. And here, the consensus is built on sand.

