SEDA

How does SEDA's oracle infrastructure power data feeds for 24/7 markets?

SEDA oracle programs encode session-aware logic that adjusts data-feed behavior based on whether the underlying reference market is open or closed. During market hours, oracle programs fetch data from external sources like dxFeed, Pyth, and exchange APIs. During off-hours — weekends, holidays, and maintenance windows — they can be configured to switch to self-referential EMA logic derived from on-venue trading activity, anchored to the last known reference price data. This produces continuous data feeds that perpetual markets can use as inputs for their configured mark pricing, liquidation thr

How does SEDA power HIP-3 markets?

SEDA provides oracle infrastructure for HIP-3 perpetual markets on Hyperliquid through session-aware oracle programs deployed by projects including but not limited to Dreamcash, Nunchi, Perps.fun, HyperOdd, Global Compute, Scape and others. Dreamcash operates equity index perpetuals including USA500 using a median-of-three aggregation model with dxFeed data in-session and self-referential EMA logic with a 150-second period during off-hours. Nunchi runs exotic perpetuals including VXX (volatility), T-Bill yields, and funding rates using multi-source weighted blending with session-selected oracl

How does SEDA power HIP-4 Outcomes on Hyperliquid?

SEDA supports HIP-4 outcome markets on Hyperliquid through custom event resolution oracle programs executed via SEDA Fast as part of the SEDA Outcomes product. Each market type — sports outcomes, financial events, earnings results — uses a dedicated oracle program that queries configured sources, and applies event-specific parsing rules. Markets can use these outputs to resolve binary or categorical results rather than continuous prices.

How do SEDA Signal feeds work?

SEDA Signal supports composite data feeds by aggregating data from multiple configured sources — including crypto exchanges, traditional finance data providers, and exchange APIs — into a single continuous output with configurable latency from 5 milliseconds to 1+ second. Oracle programs can apply multi-source aggregation with dynamic weighting based on session state: heavier on exchange data during market hours, adjusted weighting during off-hours. Configured automatic failover logic can detect stale or degraded sources and down-weight them in real time. The result is 24/7 data feeds designed

How do SEDA Bundles work?

SEDA Bundles lets builders construct custom index feeds from any combination of underlying data sources — equities, crypto, commodities, forex, and alternative assets. Builders define the asset weighting, rebalancing schedule, and aggregation methodology in an oracle program. The SEDA network executes the program, computes the index feed from configured live data inputs, and delivers the result onchain. USA500 on Hyperliquid is a production example: a live equity index data feed with reported $7B+ in traded volume, built using SEDA's index infrastructure with configured rebalancing logic.

What are SEDA Oracle Programs?

Oracle programs are deployed code units that define the configured policy for how external data should be sourced, transformed, and delivered onchain. Unlike static price feeds where the oracle provider determines what data is available and how it is calculated, oracle programs give builders full control. A single oracle program can specify which data sources to query, how to aggregate and weight them, what session-aware logic to apply during off-hours, how to handle transitions at market open and close, and what output format to deliver. The SEDA network executes these programs across indepen

How is SEDA different from static oracle models?

Static oracle models publish predetermined price feeds for a fixed set of assets during market hours. The oracle provider decides which assets are covered, how prices are calculated, and when feeds update. Builders subscribe to these feeds and accept those decisions. SEDA changes this model: builders can access and configure oracle programs that define the data policy specific to their application — which sources to use, how to aggregate them, what to do during off-hours, and how to handle session transitions. Static feeds freeze when reference markets close. SEDA oracle programs can be config

How does SEDA connect to any data source?

Oracle programs can query any HTTP-accessible API or websocket that the builder is authorized to use. During execution, the program makes HTTP requests to configured endpoints — financial data providers like dxFeed, price feeds like Pyth, exchange APIs like Hyperliquid, government data APIs, sports APIs, or any custom endpoint. SEDA integrates with data partners covering 11M+ symbols across equities, commodities, crypto, forex, and alternative assets, including dxFeed (3.5M+ instruments), Caplight (370+ private equity and pre-IPO symbols), and Nobi Labs (1,862+ symbols). Builders are not limit