4.1 Motivation and Threat Model
In high-volatility, thin-liquidity markets such as memecoins, public order intent creates significant execution risk. Broadcasting order parameters in the clear exposes traders to front-running, sandwich attacks, and adverse price movement driven by opportunistic actors. These risks are exacerbated under leverage, where small price movements can have outsized margin impact. Parallelshots addresses this by supporting private order submission flows, in which pre-trade intent is shielded from the public mempool and only revealed at execution or settlement time. The threat model assumes adversaries capable of mempool monitoring, latency arbitrage, and orderbook inference, but not control over protocol contracts.4.2 Private Order Submission Model
Private orders follow a two-phase commit model:- Order parameters are not publicly visible pre-execution
- Matching remains deterministic
- Settlement remains transparent and verifiable
4.3 Engine-Level Confidentiality
Within the matching engine, private orders are treated equivalently to public orders in terms of priority and risk checks. However, they are excluded from public market data feeds until execution.4.4 Settlement Transparency
Despite private intent, all economic outcomes are public. Once settled:- Trade price
- Quantity
- Position updates
- Margin changes

