By decoupling matching from settlement, Silvana Book makes trading ultra-fast regardless of the workload. Orders are placed, updated, and matched off-chain in a low-latency environment, allowing strategies to react to market conditions in real time without on-chain bottlenecks.
Silvana Book enables large bilateral trades to be executed privately without exposing intent to the public market. Orders are matched off-chain and settled atomically via DvP, eliminating front-running, slippage, and counterparty risk.
With programmable portfolios, AI or rule-based agents can continuously rebalance positions based on predefined risk strategies. Trades execute deterministically through the orderbook, allowing automated exposure management without manual intervention or custody handoffs.
Market makers can place bids and asks without revealing full strategy, inventory, or pricing logic. Selective disclosure and ZK proofs allow participants to prove the correctness of execution while keeping sensitive trading data private.
DAOs and on-chain treasuries can rebalance assets, perform swaps, or manage liquidity internally without leaking intent to public AMMs. Every transaction is provable and auditable, while execution remains confidential.
Silvana Orderbook supports atomic DvP settlement between tokenized assets and payment instruments. This enables safe trading of real-world assets, private securities, or structured products without escrow, intermediaries, or settlement risk.
Every executed trade produces cryptographic proofs that can be used for audits, compliance checks, and reporting. Institutions can demonstrate correctness, solvency, and historical integrity without exposing full transaction details.
The orderbook can operate across multiple asset types and protocol modules, enabling complex trades such as asset-for-asset, asset-for-liquidity, or asset-for-rights exchanges, all settled atomically via DvP.
Participants can view a complete, provable trading history of their activity while selectively disclosing data to regulators, partners, or auditors. This balances transparency with confidentiality.
Silvana Book can serve as an execution layer for yield-generating strategies managed by autonomous agents. Agents dynamically rebalance and route capital through the private orderbook, improving capital efficiency and increasing returns compared to static positions, without exposing strategy or order flow.
