Onchain prop trading has always promised transparency, but in practice most platforms still rely on opaque offchain engines for order execution, trader evaluation, and payout logic. Capital may be secured onchain, yet the most critical decisions, who gets funded, how performance is measured, and when payouts trigger, often happen in black-box infrastructure.
Carrotfunding.io is taking a concrete step to eliminate that gap by integrating ROFL, bringing cryptographically verifiable compute into its trading and evaluation pipeline.
The Trust Gap in Prop Trading
Traditional prop firms are built on trust: traders trust execution, firms trust evaluation logic, and investors trust payout calculations. Even many “onchain” platforms replicate this model by anchoring capital onchain while keeping decision logic offchain.
Carrot already minimizes several of these assumptions:
- Capital is secured using rethink.finance vaults
- Trades are executed via gTrade
The remaining trust dependency lies in the AWS-based engine responsible for:
- order orchestration
- trader performance evaluation
- risk metrics
- payout calculation
This is exactly where ROFL is being introduced.
How the ROFL Integration Works
Instead of replacing its existing infrastructure immediately, Carrot is deploying ROFL as a parallel verification layer.
- The production engine continues to run for performance and latency reasons.
- A ROFL instance independently re-executes the same computations inside a Trusted Execution Environment (TEE).
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ROFL produces cryptographic attestations that prove:
- which code was executed
- which inputs were used
- what outputs were produced
These attestations are posted onchain, allowing traders and capital providers to verify that:
- evaluation rules were applied exactly as defined
- no discretionary changes were made
- payouts were calculated deterministically
Over time, this architecture supports a gradual path toward ROFL-only execution, without sacrificing system reliability today.
Why This Matters Technically
ROFL provides properties that standard offchain infrastructure cannot:
- Execution integrity: Code runs in hardware-isolated enclaves.
- Reproducibility: Identical inputs produce provable outputs.
- Auditability: Verification happens onchain, not via logs or dashboards.
- Key isolation: Sensitive keys never leave the enclave.
For a prop trading system, this means trader scoring, drawdown checks, and payout logic become provable protocol behavior, not operator promises.
Implications for Traders and Capital Providers
For traders:
- Evaluation criteria become transparent and verifiable.
- Disputes can be resolved cryptographically, not socially.
- Funding decisions are no longer subjective or opaque.
For capital providers:
- Funds are governed by immutable logic.
- Risk controls are enforced exactly as specified.
- Performance claims can be independently validated.
A Broader Signal for DeFi Infrastructure
This integration is a strong example of how verifiable compute can unlock new classes of financial applications. Prop trading requires:
- high-frequency logic
- complex evaluation rules
- strict fairness guarantees
ROFL shows how such systems can remain performant and trust-minimized.
While full onchain execution is often impractical for this class of workloads, cryptographically verified offchain compute offers a realistic middle ground.
Looking Ahead
Carrotfunding’s roadmap includes deeper reliance on ROFL over time, potentially eliminating centralized execution entirely. More broadly, this pattern,
parallel verification → gradual migration → full verifiable execution
is likely to become standard for complex DeFi systems.
As onchain finance matures, trust assumptions will increasingly move from people and servers to code and cryptography. This integration is an early but meaningful step in that direction.
Top comments (2)
Awesome breakdown this highlights how Carrotfunding is bringing verifiable compute to on-chain prop trading by integrating Oasis ROFL as a parallel trusted execution layer. Instead of relying on opaque off-chain engines, cryptographic attestations posted on-chain make evaluation logic, risk scoring, and payout calculations provably fair and deterministic, moving trust from operators to code. A solid example of bridging high-frequency financial workflows with verifiable infrastructure.
This is a strong real-world example of where verifiable compute actually matters. Prop trading needs speed and fairness, and ROFL’s parallel verification model feels like a practical bridge between off-chain performance and on-chain trust. If this pattern sticks, Oasis-style confidential + verifiable execution could quietly become standard infra for complex DeFi systems.