DeepSigma Opens Paper Trading for 77 RWA Perpetual Markets

| cryptodaily.co.uk
DeepSigma has launched a paper-trading demo for 77 real-world asset (RWA) perpetual markets, covering US stocks, indexes, sector ETFs, commodities and Treasury yields. The platform, built on the Cypherium blockchain, lets users take long or short positions without owning the underlying assets. The demo adds market data, technical indicators, portfolio tracking and an AI analysis tool, which cannot execute trades or move assets. Planned features include multi-source price feeds, funding rates, an order book, cross-chain collateral such as USDC from Ethereum and Solana, and safeguards including exposure limits, circuit breakers, partial liquidations and insurance. DeepSigma is also developing privacy-preserving identity tools and says it is designing for regulatory requirements. Its team includes former Goldman Sachs, Citadel Securities, Google and Uber professionals; Cypherium says its technology is covered by four granted US patents. The platform remains limited to paper trading, so live liquidity, trading volume, oracle reliability and regulatory treatment are untested. Its potential relevance to crypto traders will depend on whether it can deliver reliable execution and attract users once live.
Neutral
The news is about a paper-trading demo, not a live exchange launch, and neither summary reports real trading volume, liquidity or a direct change to a cryptocurrency’s utility or demand. In the short term, the announcement may attract attention to Cypherium and RWA derivatives, but any price response is likely to be limited and sentiment-driven. Traders will look for evidence of a live launch, dependable price oracles, competitive execution and regulatory clarity before treating the project as a meaningful catalyst. Over the longer term, successful adoption could support demand for the platform’s associated ecosystem, while weak liquidity, technical issues or regulatory barriers could undermine confidence. With no confirmed token-specific effect or demonstrated market traction, a neutral classification is most appropriate.