Build a market dashboard, with Tickerbot.

the recipe

Rows, charts, freshness.

1. The row — one call returns everything a ticker card or table row could show — price plus all 421+ computed signals, one response, no assembly:

curl -s https://api.tickerbot.io/v2/tickers/AAPL \
  -H "Authorization: Bearer $TICKERBOT_API_KEY"

2. The charts — /v2/series returns up to 50 tickers × 25 columns on one aligned time grid — price and indicators together, ready for a chart library, no client-side joins:

curl -s "https://api.tickerbot.io/v2/series?tickers=AAPL,MSFT,NVDA\
&columns=close,rsi_14,volume_today&interval=1d&from=2026-01-01" \
  -H "Authorization: Bearer $TICKERBOT_API_KEY"

3. The freshness — hold a websocket open and each subscribed ticker’s freshly-computed row arrives on every refresh cycle — the dashboard updates itself:

const ws = new WebSocket('wss://api.tickerbot.io/v2/stream')
ws.onopen = () => {
  ws.send(JSON.stringify({ type: 'auth', api_key: KEY }))
  ws.send(JSON.stringify({ type: 'subscribe', tickers: ['AAPL', 'MSFT', 'NVDA'] }))
}
ws.onmessage = ({ data }) => {
  const frame = JSON.parse(data)
  if (frame.type === 'update') {          // { ticker, as_of, data }
    store.upsert(frame.ticker, frame.data) // full computed row — UI re-renders
  }
}

4. Per-user watchlists — model each user’s watchlist as a universe and every surface scopes to it — the same list drives their table, their charts, and their alerts:

curl -s -X POST https://api.tickerbot.io/v2/universes \
  -H "Authorization: Bearer $TICKERBOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "name": "user-4821-watchlist", "tickers": ["AAPL","MSFT","NVDA"] }'

# then: POST /v2/scan { "q": "...", "universe": "user-4821-watchlist" }