// clawhub integration

Market context for your
OpenClaw agent.

Install TickerDB from ClawHub and your agent gets market summaries, watchlists, event history, and more. One command. No config files.

view on ClawHub playground

// install

One command. That's it.

Install the TickerDB skill from ClawHub and your agent immediately has access to every market data tool. No JSON config, no MCP wiring.

terminal

bash

$ clawhub install tickerdb

That's the entire setup. Your agent can now pull summaries, query ticker event history, and monitor watchlists — all from natural conversation.

// just ask

Talk to it like a person.

No slash commands needed. No tool names to memorize. Just ask your agent what you want to know about the market.

You

How does INTC look right now?

Agent

INTC is in a confirmed downtrend, deep oversold for 8 consecutive days — that's a rare condition historically (95th percentile). Valuation is in the deep value zone. Volume is extremely high, which may indicate a selling climax. The combination of extreme oversold conditions and historically low valuation makes it a potential mean-reversion candidate.

You

When was the last time it was this oversold?

Agent

Looking at the historical events for INTC entering deep oversold: The last time was 4 months ago — it stayed deep oversold for 5 days before recovering. Price gained 12% in the 20 days after exiting. Before that, 11 months ago — a shorter 3-day episode followed by a 9% recovery over 2 weeks. The current episode at 8 consecutive days is the longest in the past 2 years. Historically, longer episodes have led to stronger mean-reversion moves.

You

Add both to my watchlist along with NVDA and check them every morning.

Agent

Done. I've added INTC, AMD, and NVDA to your watchlist. I'll check them every weekday at 9:35 AM ET and flag any notable changes — like if INTC exits oversold, if AMD's volume spikes further, or if NVDA's trend shifts.

// 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.

json

{
  "timeframe": "daily",
  "run_date": "2026-03-28",
  "changes": {
    "AAPL": [
      {
        "field": "rsi_zone",
        "from": "neutral",
        "to": "oversold"
      },
      {
        "field": "trend_direction",
        "from": "uptrend",
        "to": "downtrend"
      }
    ]
  },
  "ticker_context": {
    "AAPL": {
      "last_changed_date": "2026-03-28"
    }
  },
  "tickers_checked": 2,
  "tickers_changed": 1
}

// 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",
  "data_status": "eod",
  "as_of_date": "2026-04-11",
  "trend": {
    "direction": "strong_uptrend",
    "ma_alignment": "aligned_bullish"
  },
  "momentum": {
    "rsi_zone": "overbought",
    "macd_state": "expanding_positive",
    "direction": "accelerating"
  },
  "volatility": {
    "regime": "normal",
    "regime_trend": "stable"
  },
  "fundamentals": {
    "valuation_zone": "fair_value",
    "pe_vs_historical_zone": "premium",
    "last_earnings_surprise": "beat"
  }
}