// python sdk

TickerDB for Python.

Simple client for the TickerDB HTTP API. Install with pip, initialize with your API key, and start pulling pre-computed market data immediately.

get api key read the docs

// quick start

Install and call in seconds.

One pip install, one import, one line to initialize. Every method returns a plain dictionary.

install

pip install tickerdb

python

from tickerdb import TickerDB

client = TickerDB("tapi_your_api_key")

# Get a full summary for any ticker
summary = client.get_summary("AAPL")
print(summary["trend"]["direction"])    # "uptrend"
print(summary["momentum"]["rsi_zone"])  # "neutral_high"

view on PyPI →

// multi-step analysis

Chain calls. Build context.

Pull a summary, use summary event mode for historical band transitions, then monitor your watchlist for changes. Each method returns categorical data you can branch on directly.

client.get_summary("AAPL")

Full categorical breakdown — trend, momentum, volatility, fundamentals

client.get_summary("AAPL", field="rsi_zone", band="deep_oversold")

Ticker event history for RSI entering deep oversold

client.get_watchlist_changes()

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.

python

summary = client.get_summary("AAPL")

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"
  }
}