NVDAx, AAPLx, TSLAx, MSFTx, METAx, AMZNx, and COINx) as first-class equity instruments rather than generic SPL tokens.
Every public tokenized equity is continuously benchmarked against its underlying exchange-listed share using Pyth Core equity reference feeds via Hermes (with an authenticated public equity quote fallback).
Reference & Fair-Value Layer
Because Solana tokenized stocks trade 24/7/365 while traditional US equity exchanges operate across discrete market sessions (PRE_MARKET, REGULAR, POST_MARKET, CLOSED), price dislocations naturally emerge between the onchain token and the underlying share.
Sisera computes and displays four core valuation metrics for every xStock:
Fair-Value Opportunity Screens
Through the/stocks terminal view and the GET /v1/rankings/fair-value endpoint, traders can rank the entire tokenized equity universe by:
- Deepest Discount to Reference: Tokenized stocks trading significantly below their Pyth equity reference mark.
- Highest Premium to Reference: Tokenized stocks trading above their reference mark due to onchain momentum or after-hours news.
- Onchain Liquidity Depth: Pool depth and maximum trade size before exceeding your slippage budget.
- Event Intensity: Equities currently experiencing high-severity corroborated SEC EDGAR filings or wire events.
Basis & Dislocation Arbitrage
Sisera includes a dedicated Live Basis Service (GET /v1/arbitrage/basis and POST /v1/arbitrage/arm) that monitors the spread between Solana tokenized equities, reference quotes, and perpetual venues:
1
Detect Dislocation
Identify when a tokenized equity (e.g.,
NVDAx) diverges from its Pyth reference price beyond normal transaction and slippage costs.2
Simulate Portfolio & Slippage Impact
Verify pool liquidity on Solana and ensure the trade size fits within your account’s concentration and mandate limits.
3
Arm Automated Basis Policy
Use
POST /v1/arbitrage/arm to deploy a deterministic policy that automatically enters when the discount exceeds your target threshold (e.g., -2.5%) and exits as the spread mean-reverts toward fair value.