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Returns

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Arguments

subscription {
  onDetailedStatsUpdated(
    pairId: "BGm1tav58oGcsQJehL9WXBFXF7D27vZsKefj4xJKD5Y:1399811149"
    tokenOfInterest: token0
  ) {
    pairId
    tokenOfInterest
    statsType
    stats_min5 {
      windowSize
      timestamp
      endTimestamp
      transactions {
        change
        currentValue
        previousValue
      }
      volume {
        change
        currentValue
        previousValue
      }
      buys {
        change
        currentValue
        previousValue
      }
      sells {
        change
        currentValue
        previousValue
      }
      buyers {
        change
        currentValue
        previousValue
      }
      sellers {
        change
        currentValue
        previousValue
      }
    }
    stats_hour1 {
      windowSize
      timestamp
      endTimestamp
      transactions {
        change
        currentValue
        previousValue
      }
      volume {
        change
        currentValue
        previousValue
      }
    }
  }
}
Example Response
{
  "data": {
    "onDetailedStatsUpdated": {
      "pairId": "BGm1tav58oGcsQJehL9WXBFXF7D27vZsKefj4xJKD5Y:1399811149",
      "tokenOfInterest": "token0",
      "statsType": "UNFILTERED",
      "stats_min5": {
        "windowSize": "min5",
        "timestamp": 1769561431,
        "endTimestamp": 1769561732,
        "transactions": {
          "change": -0.38095238095238093,
          "currentValue": 13,
          "previousValue": 21
        },
        "volume": {
          "change": -0.984327,
          "currentValue": "533",
          "previousValue": "34008"
        },
        "buys": {
          "change": -0.631578947368421,
          "currentValue": 7,
          "previousValue": 19
        },
        "sells": {
          "change": 2,
          "currentValue": 6,
          "previousValue": 2
        },
        "buyers": {
          "change": -0.46153846153846156,
          "currentValue": 7,
          "previousValue": 13
        },
        "sellers": {
          "change": 0.5,
          "currentValue": 3,
          "previousValue": 2
        }
      },
      "stats_hour1": {
        "windowSize": "hour1",
        "timestamp": 1769558131,
        "endTimestamp": 1769561732,
        "transactions": {
          "change": 0.5,
          "currentValue": 150,
          "previousValue": 100
        },
        "volume": {
          "change": 0.465108,
          "currentValue": "172014",
          "previousValue": "117407"
        }
      }
    }
  }
}

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Usage Guidelines

  • Subscribe using pairId (format pairAddress:networkId) and tokenOfInterest (token0 or token1)
  • Stats are provided across multiple time windows: stats_min5, stats_hour1, stats_hour4, stats_hour12, stats_day1
  • Each metric includes currentValue, previousValue, and change (percent change as a decimal) for easy comparison
  • Use buckets on any metric for granular breakdowns within the window (e.g., per-minute data within the 5-minute window)
  • Available metrics: transactions, volume, buys, sells, buyers, sellers, traders, buyVolume, sellVolume
  • Updates are streamed in real-time as trading activity changes the stats

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Troubleshooting Tips

They serve the same purpose — selecting which token in the pair to focus on — but are used in different subscriptions. onDetailedStatsUpdated uses tokenOfInterest, while onBarsUpdated and onEventsCreated use quoteToken. Both accept token0 or token1.
change is the percent change between currentValue and previousValue, expressed as a decimal. For example, 0.25 means a 25% increase, and -0.5 means a 50% decrease.
Each window is divided into equal time buckets. For example, stats_min5 has 5 one-minute buckets, and stats_hour1 has 12 five-minute buckets. The buckets field on the parent returns the start/end timestamps for each bucket, and the buckets field on each metric returns the aggregated values per bucket.
Use onDetailedStatsUpdated for trading activity stats (transaction counts, buyer/seller counts, volume breakdowns with change percentages). Use onBarsUpdated for OHLCV price candlestick data. They complement each other — stats for activity, bars for price.