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One part of HertzFlow’s oracle design I found genuinely worth understanding is its fallback slippage protection.

When Pyth data becomes unavailable or stale beyond 3 seconds, @Hertzflow_xyz can fall back to CEX index prices.

But the interesting part is how those prices are weighted.

HertzFlow evaluates each venue using:

• Depth within ±1% of the current price
• Support from the top 3 order-book levels
• Balance between total bids and asks

These factors form a composite exchange score:

Score = w₁ × a + w₂ × b + w₃ × c

The scores then determine how much each exchange contributes to the final aggregated index.

So the fallback mechanism isn’t simply take prices from exchanges and average them. It also considers the quality and liquidity of their order books.

That’s a technical detail worth knowing when looking at HertzFlow’s oracle architecture.

#HertzFlow

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