# Pyth Pro: EMA Price and Confidence Fields Now Available

**URL:** <https://dev-forum.pyth.network/t/pyth-pro-ema-price-and-confidence-fields-now-available/518>\
**Category:** Announcements\
**Created:** [February 24, 2026, 3:26pm UTC](https://dev-forum.pyth.network/t/pyth-pro-ema-price-and-confidence-fields-now-available/518 "2026-02-24T15:26:07Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Aditya520](https://yyz2.discourse-cdn.com/flex034/user_avatar/dev-forum.pyth.network/aditya520/32/12_2.png) [@Aditya520](https://dev-forum.pyth.network/u/Aditya520)\
**Post date:** [February 24, 2026, 3:26pm UTC](https://dev-forum.pyth.network/t/pyth-pro-ema-price-and-confidence-fields-now-available/518/1 "2026-02-24T15:26:08Z")

</div>

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:

```bash
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

```json
{
  "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](https://docs.pyth.network/price-feeds/pro/payload-reference).
