# Wall Street Veterans Launch DeFi Platform for 77 Traditional Markets

Deepsigma introduces perpetual futures for traditional assets using blockchain and zero-knowledge identity verification.

- **Source:** [Bitcoin News](https://brifing.si/source/d8aeaf1e-9839-4dad-9d25-7a6bf3fbeef8)
- **Published:** 2026-10-16
- **Topic:** [Finance](https://brifing.si/c/finance)
- **Original article:** <https://news.bitcoin.com/finance/wall-street-veterans-unveil-defi-platform-77-tradfi-markets/>
- **On Brifing:** https://brifing.si/s/71dd2e83-3110-4f48-b046-0c4dd795d94e

## Platform Launch and Scope

Deepsigma has officially launched a live paper-trading platform covering 77 traditional financial markets. The exchange enables long or short exposure to U.S. equities, stock indexes, commodities, and Treasury yields. Developed by alumni from firms like Goldman Sachs and Citadel, the project aims to integrate perpetual futures models into conventional financial instruments.

## Operational Mechanism Design

The platform operates on the Cypherium Layer 1 blockchain, utilizing a central limit order book model. Unlike standard crypto exchanges, it does not tokenize or take custody of underlying assets. Instead, perpetual contracts track prices through external market data feeds, allowing for synthetic exposure to traditional assets without direct delivery requirements.

## Addressing Market Fragmentation

CEO Sky Guo highlights that traditional assets present unique challenges, such as non-24/7 trading hours and fragmented pricing. Deepsigma incorporates multi-source external price feeds to mitigate liquidity lapses. The system includes mark-price mechanisms to deter short-term manipulation, alongside circuit breakers and an insurance fund to manage risk during volatile market conditions.

## Supported Asset Classes

The current paper-trading demo supports a wide range of benchmark stock indexes, including the S&P 500, Dow Jones Industrial Average, and Nasdaq Composite. Additionally, the platform covers the Russell 2000 and Cboe Volatility Index. Commodity support extends to crude oil, gold, silver, natural gas, and copper, providing broad market coverage for users.

## AI and Analytical Tools

The interface integrates an offchain artificial intelligence analysis tool designed to generate strategy insights for traders. This tool operates independently, possessing no execution authority over user funds. By separating analysis from execution, the platform aims to provide data-driven decision support while maintaining strict security boundaries for all assets held within the system.

## Regulatory and Identity Framework

Deepsigma is actively designing its system to align with U.S. regulatory frameworks, distinguishing it from fully permissionless venues. The team is developing a decentralized identity framework utilizing zero-knowledge proofs. This approach ensures compliance with global standards while maintaining the privacy and security benefits inherent in decentralized ledger technology for institutional participants.

## Underlying Blockchain Infrastructure

The platform is built on the Cypherium blockchain, which employs a hybrid proof-of-work and Hotstuff Byzantine Fault Tolerant consensus mechanism. This architecture is supported by four U.S. patents, providing a robust foundation for the exchange. The technical stack is specifically optimized to handle the demands of perpetual futures trading for traditional assets.

## Strategic Market Positioning

By bridging traditional finance with onchain markets, Deepsigma targets institutional traders seeking around-the-clock exposure. The project represents a shift in how perpetual models are applied to real-world assets. Future success depends on balancing the efficiency of decentralized infrastructure with the complex regulatory and liquidity requirements inherent in global financial markets.

## Sources covering this story

- https://news.bitcoin.com/finance/wall-street-veterans-unveil-defi-platform-77-tradfi-markets/ — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
