Millisecond-Resolution Tick Data

import requests

resp = requests.get(
    "https://tickatlas.com/v1/ticks",
    headers={"X-API-Key": "YOUR_API_KEY"},
    params={"symbol": "EURUSD", "limit": 500}
)
ticks = resp.json()["data"]["ticks"]

# Build 100-tick candles
candles = []
for i in range(0, len(ticks), 100):
    chunk = ticks[i:i+100]
    bids = [t["bid"] for t in chunk]
    candles.append({
        "open": bids[0],
        "high": max(bids),
        "low": min(bids),
        "close": bids[-1],
        "ticks": len(chunk),
        "time": chunk[0]["time"]
    })

for c in candles:
    print(f"{c['time']}: O={c['open']} "
          f"H={c['high']} L={c['low']} C={c['close']}")

const res = await fetch(
  "https://tickatlas.com/v1/ticks" +
  "?symbol=XAUUSD&limit=200",
  { headers: { "X-API-Key": "YOUR_API_KEY" } }
);
const { data } = await res.json();

// Analyze spread distribution
const spreads = data.ticks.map(t => t.spread);
const avg = spreads.reduce((a, b) => a + b) / spreads.length;
const max = Math.max(...spreads);
const min = Math.min(...spreads);

console.log(`Spread: avg=${avg.toFixed(1)}, `
  + `min=${min}, max=${max}`);

// Detect spread spikes (>2x average)
const spikes = data.ticks.filter(
  t => t.spread > avg * 2
);
console.log(`Spread spikes: ${spikes.length}`);