Pyth Hackathon Judging Extended One Week

**EtherFi**, the largest crypto neobank with over **$5.7B in total value locked (TVL)**, has integrated [Pyth price feeds](https://pyth.network) to power its Earn product on Optimism. **Key Details:** - EtherFi selected Pyth as their price feed provider following their migration to Optimism - The integration supports EtherFi's Earn product functionality - This partnership combines EtherFi's significant market presence with Pyth's oracle infrastructure The move strengthens both platforms' positions in the Optimism ecosystem, bringing institutional-grade price data to one of crypto's largest neobanking services.

Pyth Network published a technical guide explaining how their oracle handles corporate actions like stock splits. The article covers: - **Ex-date workflow**: How price feeds adjust when stocks split or undergo other corporate actions - **Session boundaries**: Understanding trading session transitions and data gaps - **Single-venue problem**: Challenges when aggregating data from multiple exchanges - **Builder considerations**: What developers need to account for when using equity price feeds The guide addresses a critical infrastructure question for DeFi builders integrating traditional equity data. Stock splits require careful handling to maintain accurate pricing without creating arbitrage opportunities or breaking derivative contracts. [Read the full technical breakdown](https://www.pyth.network/blog/what-happens-to-a-price-feed-during-a-stock-split?utm_source=organic_social&utm_medium=x_post&utm_campaign=2604_post&utm_term=stocksplit)

**Corporate action handling** is critical infrastructure for perpetual futures platforms listing equity markets—but it's only noticed when it fails. **What are corporate actions?** - Stock splits, reverse splits, and delistings - Announced weeks in advance with known dates and ratios - Create price discontinuities that aren't real market moves **The problem:** Systems reading raw price feeds without adjustment treat planned corporate actions as actual market movements. **What breaks on perps platforms:** - **Mark prices corrupt** - distorting position valuations - **Funding rates detach from reality** - spiking artificially - **Traders get liquidated** on price moves that never actually happened Price feeds serve dual purposes: reference prices for funding calculations and direct inputs to mark price. A stock split corrupts both simultaneously. For any perpetual futures platform listing equity markets, robust corporate action handling isn't optional—it's a fundamental requirement to prevent systemic failures and protect traders from phantom liquidations.

**Major milestone reached in oracle coordination** A decentralized oracle network successfully executed a coordinated stock split adjustment across all data publishers, validated during the Netflix (NFLX) split in November 2025. **Key achievements:** - All publishers aligned and reflected adjusted prices within expected timeframe - Zero corrupted data points during transition - Normal aggregation resumed with full consensus **The coordination process:** - Phase 3: Publishers adjust pricing engines to split ratio or stop publishing - Phase 4: Aggregator rejects any publisher deviating beyond threshold - Phase 5: Full alignment achieved, normal operations resume **Why this matters:** Stock splits require simultaneous price adjustments across all data sources. A single publisher submitting outdated prices corrupts the entire aggregate feed. This wasn't a simple config change—it required coordinated workflow execution with slashing penalties for non-compliance. The clean execution demonstrates the network's ability to handle complex real-world financial events without data integrity issues.