i built AfterHours because tokenized stocks created a market problem that traditional finance wasn't designed for.
the U.S. stock market closes Friday at 4 PM ET and doesn't reopen until Monday at 9:30 AM.
tokenized equities on Solana can keep trading 24/7.
that creates a 65-hour window where news, earnings, macro events, and sentiment can move markets while traditional benchmarks are offline.
AfterHours is a 24/7 intelligence + risk governance layer for that gap.
here's how it works:
1. gap radar
AfterHours compares traditional equity benchmarks against tokenized equity prices on Solana.
it tracks assets like
$NVDA,
$AAPL, and
$TSLA, while also monitoring private-market assets through PreStocks.
the system calculates:
• price divergence
• volatility
• liquidity conditions
• gap risk
• market regime
it can identify conditions like weekend illiquid drift, corporate event divergence, and orderbook dislocation.
2. AI market analyst
AI analyzes the context behind the movement.
it can help answer:
"why is this tokenized stock moving?"
"what changed?"
"is this divergence happening during thin liquidity?"
"what market conditions could explain it?"
but the AI doesn't get trading authority.
3. deterministic risk governor
every proposed rebalance goes through a deterministic policy engine.
you can define rules like:
• max 35% exposure to one asset
• maximum trade size
• minimum 10% USDC reserve
• maximum portfolio VaR
if a proposal violates the policy, it gets blocked.
the same inputs should produce the same risk decision.
4. onchain risk passport
once the risk checks pass, a human approves the transaction.
AfterHours then builds a Solana transaction containing:
→ settlement escrow deposit
→ cryptographic compliance attestation
the trade parameters and policy approval are committed onchain through the SPL Memo Program.
that creates an auditable "Risk Passport" showing that the action passed the required controls before execution.
5. Pyth integration
AfterHours uses Pyth to compare traditional equity feeds with tokenized equity feeds.
it also uses Pyth confidence intervals as part of its risk analysis.
when uncertainty increases, the system can flag the market and tighten execution conditions.
there's also a dedicated "/proof" dashboard showing feed IDs, prices, spreads, confidence intervals, and telemetry.
6. PreStocks integration
private-market equities have even more information and liquidity challenges.
AfterHours pulls PreStocks data for assets such as SpaceX, OpenAI, Anthropic, Anduril, and Neuralink.
those assets go through the same risk governance layer.
the architecture is split into market intelligence, risk evaluation, AI analysis, Solana execution, API services, and the web dashboard.
the key idea is simple:
AI can explain the market.
deterministic rules control the risk.
humans approve execution.
Solana provides the settlement and audit layer.
that's AfterHours.
24/7 intelligence for markets that never close.