// go sdk

TickerDB for Go.

Strongly-typed client for the TickerDB HTTP API. Idiomatic Go, full struct definitions, and context support. Install and start pulling market data immediately.

get api key read the docs

// quick start

One command. Ready to go.

Install the SDK and start pulling market data in under a minute.

install

// install the sdk
go get github.com/tickerdb/tickerdb-go

package main

import (
    "fmt"
    tickerdb "github.com/tickerdb/tickerdb-go"
)

func main() {
    client := tickerdb.NewClient("tapi_your_api_key")

    summary, _ := client.GetSummary("AAPL", nil)
    fmt.Println(summary.Trend.Direction)   // "uptrend"
    fmt.Println(summary.Momentum.RSIZone)  // "neutral_high"
}

view on pkg.go.dev →

// multi-step analysis

Chain calls. Build context.

Pull a summary, check for historical band transitions, then monitor your watchlist for changes. Each method returns strongly-typed structs with categorical data.

client.GetSummary("AAPL", nil)

Full categorical breakdown — trend, momentum, volatility, fundamentals

client.GetEvents("AAPL", "rsi_zone", "deep_oversold", nil)

Historical band transitions for RSI entering deep oversold

client.GetWatchlistChanges(nil)

State changes across your monitored tickers

// state changes

Track state changes effortlessly.

Most market data APIs return point-in-time snapshots. TickerDB tracks state transitions — your agent sees what changed, not just what is.

summary, _ := client.GetSummary("AAPL", nil)

json

{
  "ticker": "AAPL",
  "changes": [
    {
      "field": "rsi_zone",
      "from": "neutral",
      "to": "oversold"
    },
    {
      "field": "trend",
      "from": "uptrend",
      "to": "downtrend"
    }
  ]
}

// what your agent sees

What your agent sees.

Every tool returns categorical facts — not raw OHLCV data. Your agent can branch on "oversold" without needing to know what RSI > 70 means.

json

{
  "ticker": "NVDA",
  "trend": "strong_uptrend",
  "momentum": {
    "rsi_zone": "overbought",
    "macd_signal": "bullish"
  },
  "volatility": "high",
  "fundamentals": {
    "pe_zone": "above_historical_avg",
    "earnings_surprise": "positive"
  }
}