Track Multi-Asset Trading

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Use Case

• Compare trading volumes across assets
• Identify trending assets
• Analyze cross-asset arbitrage opportunities
• Build market overview dashboards

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Sample Response

{
  "header": {
    "number": 905000003,
    "timestamp": 1771899118437
  },
  "fills": [
    {
      "user": "0xa710948745544a27ddd66a63f408ff11b869797d",
      "coin": "ETH",
      "px": 1943.4,
      "sz": 0.0258,
      "side": "B",
      "dir": "Open Long",
      "fee": 0.02166,
      "crossed": true,
      "tid": 826601424406812
    },
    {
      "user": "0x6a9e7566877b52b13b28230b5543cbccf3685870",
      "coin": "SOL",
      "px": 98.45,
      "sz": 12.5,
      "side": "A",
      "dir": "Close Short",
      "fee": 0.0154,
      "crossed": false,
      "tid": 826601424406813
    }
  ]
}

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Field Descriptions

• coin - Asset symbol (e.g., “ETH”, “BTC”, “SOL”)
• px - Fill price in USD
• sz - Fill size in the asset’s base unit
• crossed - Whether this fill crossed the order book (was a taker fill)
• tid - Trade ID (unique identifier for the matched trade)
• side - “A” (ask/sell) or “B” (bid/buy)
• dir - Trade direction: “Open Long”, “Close Long”, “Open Short”, “Close Short”

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Analysis Tips

• Notional Volume = px × sz (total USD value of the trade)
• Taker fills have crossed: true, maker fills have crossed: false
• Aggregate volumes across assets to identify the most actively traded markets
• Compare taker vs. maker ratios to understand market dynamics