Tokens with Experienced Buyers

This tutorial shows you how to find tokens being bought by experienced traders - wallets with proven trading history and larger portfolios, often called "smart money."

Basic Experienced Buyers Query

Find tokens attracting experienced traders:

{
  "chains": ["eth"],
  "filters": [
    {
      "metric": "experiencedBuyers",
      "timeFrame": "oneDay",
      "gt": 50
    },
    {
      "metric": "netExperiencedBuyers",
      "timeFrame": "oneDay",
      "gt": 20
    },
    {
      "metric": "volumeUsd",
      "timeFrame": "oneDay",
      "gt": 100000
    },
    {
      "metric": "marketCap",
      "gt": 5000000
    }
  ],
  "sortBy": {
    "metric": "experiencedBuyers",
    "timeFrame": "oneDay",
    "type": "DESC"
  },
  "limit": 50
}

Query Breakdown:

• experiencedBuyers > 50: At least 50 experienced buyers in 24h
• netExperiencedBuyers > 20: More experienced buyers than sellers
• volumeUsd > $100K: Significant trading activity
• marketCap > $5M: Mid-cap or larger tokens

Full cURL Example

curl -X POST \
  'https://deep-index.moralis.io/api/v2.2/discovery/tokens' \
  -H 'X-API-Key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "chains": ["eth", "base"],
    "filters": [
      {
        "metric": "experiencedBuyers",
        "timeFrame": "oneDay",
        "gt": 100
      },
      {
        "metric": "netExperiencedBuyers",
        "timeFrame": "oneDay",
        "gt": 50
      },
      {
        "metric": "securityScore",
        "gt": 80
      },
      {
        "metric": "totalLiquidityUsd",
        "gt": 100000
      }
    ],
    "sortBy": {
      "metric": "netExperiencedBuyers",
      "timeFrame": "oneDay",
      "type": "DESC"
    },
    "limit": 30
  }'

Smart Money Accumulation

Track sustained experienced buyer interest:

{
  "chains": ["eth", "arbitrum"],
  "filters": [
    {
      "metric": "experiencedBuyers",
      "timeFrame": "oneWeek",
      "gt": 200
    },
    {
      "metric": "experiencedSellers",
      "timeFrame": "oneWeek",
      "lt": 100
    },
    {
      "metric": "netExperiencedBuyers",
      "timeFrame": "oneWeek",
      "gt": 100
    },
    {
      "metric": "holdersWhale",
      "gt": 5
    }
  ],
  "metricsToReturn": [
    "experiencedBuyers",
    "experiencedSellers",
    "netExperiencedBuyers",
    "holdersWhale",
    "volumeUsd"
  ],
  "timeFramesToReturn": ["oneDay", "oneWeek"]
}

Accumulation Signals:

• High experienced buyers over longer periods
• Low experienced sellers (holding, not flipping)
• Whale participation increasing
• Consistent volume

Early Smart Money

Catch experienced buyers entering new positions:

{
  "chains": ["solana", "base"],
  "filters": [
    {
      "metric": "experiencedBuyers",
      "timeFrame": "oneHour",
      "gt": 10
    },
    {
      "metric": "netExperiencedBuyers",
      "timeFrame": "oneHour",
      "gt": 5
    },
    {
      "metric": "tokenAge",
      "lt": 30
    },
    {
      "metric": "marketCap",
      "lt": 10000000
    }
  ],
  "sortBy": {
    "metric": "experiencedBuyers",
    "timeFrame": "oneHour",
    "type": "DESC"
  }
}

Experienced vs Retail Comparison

Find tokens where smart money leads retail:

{
  "chains": ["eth"],
  "filters": [
    {
      "metric": "experiencedBuyers",
      "timeFrame": "oneDay",
      "gt": 50
    },
    {
      "metric": "buyers",
      "timeFrame": "oneDay",
      "lt": 500
    },
    {
      "metric": "netExperiencedBuyers",
      "timeFrame": "oneDay",
      "gt": 30
    }
  ],
  "metricsToReturn": [
    "buyers",
    "experiencedBuyers",
    "netBuyers",
    "netExperiencedBuyers"
  ],
  "sortBy": {
    "metric": "netExperiencedBuyers",
    "timeFrame": "oneDay",
    "type": "DESC"
  }
}

Response Analysis

Smart money patterns to recognize:

{
  "tokenSymbol": "ARB",
  "experiencedBuyers": {
    "oneHour": 25,
    "oneDay": 150,
    "oneWeek": 450
  },
  "experiencedSellers": {
    "oneHour": 10,
    "oneDay": 50,
    "oneWeek": 120
  },
  "netExperiencedBuyers": {
    "oneHour": 15,
    "oneDay": 100,
    "oneWeek": 330
  },
  "buyers": {
    "oneDay": 2500
  },
  "holdersWhale": 8.5,
  "marketCap": 1250000000
}

Key Indicators:

• High ratio of experienced to total buyers
• Positive net experienced buyers
• Growing whale percentage
• Price stability or gradual increase

Smart Money Strategies

Following Smart Money

1. Early Entry: Experienced buyers + low market cap
2. Confirmation: Multiple days of accumulation
3. Exit Signal: Experienced sellers increasing

Quality Filters

{
  "filters": [
    { "metric": "securityScore", "gt": 85 },
    { "metric": "experiencedBuyers", "timeFrame": "oneWeek", "gt": 100 },
    { "metric": "holderSupplyPercentTop10", "lt": 70 }
  ]
}

Different Types of Experienced Buyer Activity

Quiet Accumulation

• Steady experienced buyers
• Low overall volume
• Price relatively stable
• Best entry opportunity

Smart Money Rush

• Sudden spike in experienced buyers
• High volume
• Price moving up
• May be late to enter

Rotation Pattern

• Experienced buyers increasing
• Experienced sellers also present
• Smart money rotating positions
• Wait for clearer direction

Combining with Other Metrics

Enhanced smart money query:

{
  "chains": ["eth", "polygon"],
  "filters": [
    {
      "metric": "experiencedBuyers",
      "timeFrame": "oneDay",
      "gt": 30
    },
    {
      "metric": "liquidityChangeUSD",
      "timeFrame": "oneDay",
      "gt": 50000
    },
    {
      "metric": "holders",
      "timeFrame": "oneDay",
      "gt": 50
    },
    {
      "metric": "usdPricePercentChange",
      "timeFrame": "oneDay",
      "gt": 0
    }
  ]
}

Warning Signs

Watch for these red flags:

• Experienced sellers > experienced buyers
• Declining liquidity with experienced selling
• Only experienced buyers (no retail interest)
• Price pumping without fundamental support

Best Practices

1. Confirm Across Timeframes: Check 1h, 1d, and 1w patterns
2. Volume Matters: Experienced buyers need volume to impact price
3. Check Holder Distribution: Ensure healthy token distribution
4. Monitor Liquidity: Smart money needs exit liquidity
5. Security First: Always check security score