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GET
/
candlesticks
/
{mint}
Get Candlestick Data
curl --request GET \
  --url https://frontend-api-v3.pump.fun/candlesticks/{mint}
{
  "mint": "<string>",
  "timeframe": 123,
  "candlesticks": [
    {
      "timestamp": 123,
      "open": "<string>",
      "high": "<string>",
      "low": "<string>",
      "close": "<string>",
      "volume": "<string>",
      "trades": 123
    }
  ],
  "total": 123
}

​
Overview

The Candlesticks endpoint provides OHLCV (Open, High, Low, Close, Volume) data for a specific token, enabling price chart visualization and technical analysis.

​
Authentication

This endpoint requires JWT authentication via the Authorization header: 
Authorization: Bearer <your_token>

​
Endpoint

GET https://frontend-api-v3.pump.fun/candlesticks/{mint}

​
Path Parameters

​
mint
string
required
The mint address of the token to get candlestick data for

​
Query Parameters

​
offset
number
required
Number of candlesticks to skip (for pagination)
​
limit
number
required
Maximum number of candlesticks to return
​
timeframe
number
required
Timeframe for each candlestick in minutes (e.g., 1, 5, 15, 60, 240, 1440)

​
Response

​
mint
string
The mint address of the queried token
​
timeframe
number
The timeframe used for candlesticks (in minutes)
​
candlesticks
array
Array of candlestick objects
​
total
number
Total number of available candlesticks

​
Common Timeframes

  • 1 - 1 minute
  • 5 - 5 minutes
  • 15 - 15 minutes
  • 60 - 1 hour
  • 240 - 4 hours
  • 1440 - 1 day

​
Example Request

curl -X GET "https://frontend-api-v3.pump.fun/candlesticks/7GCihgDB8fe6KNjn2MYtkzZcRjQy3t9GHdC8uHYmW2hr?offset=0&limit=100&timeframe=15" \
  -H "Authorization: Bearer <your_token>" \
  -H "Accept: application/json"

​
Use Cases

  • Display price charts with multiple timeframes
  • Perform technical analysis on token price movements
  • Calculate trading indicators (RSI, MACD, etc.)
  • Build real-time trading dashboards
  • Analyze historical price patterns

​
Notes

  • Replace <your_token> with your actual JWT token
  • Choose appropriate timeframe based on your analysis needs
  • Use pagination to load historical data efficiently
  • Price values are strings to preserve precision
  • Candlestick data is essential for charting libraries

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