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Pyth Pro: EMA Price and Confidence Fields Now Available

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We have introduced two new fields to the Pyth Pro price payload for Spot feeds: emaPrice and emaConfidence. These fields deliver Exponential Moving Average (EMA) values, offering a refined, smoothed perspective on price and confidence metrics.

New Fields

Field Type Description
emaPrice i64 (optional, non-zero) Exponential moving average of the price, expressed as a mantissa.
emaConfidence i64 (optional, positive) Exponential moving average of the confidence, expressed as a mantissa.

Both fields share the same exponent as the standard price field:

decimal_ema_price = emaPrice × 10^exponent

Availability

These fields are optional—they appear only if explicitly requested in your subscription configuration. Existing integrations remain entirely unaffected.

Example Response

{
  "parsed": {
    "priceFeeds": [
      {
        "price": "11223843563091",
        "exponent": -8,
        "confidence": 1373488286,
        "marketSession": "regular",
        "feedUpdateTimestamp": 1758690761750000,
        "emaPrice": "11223843563091",
        "emaConfidence": 1347630281
      }
    ]
  }
}

Documentation

For comprehensive details, consult the updated Payload Reference.

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Posted: 2/24/2026

Source: https://dev-forum.pyth.network/t/pyth-pro-ema-price-and-confidence-fields-now-available/518 · external id 518