Forex API
Tick-level quotes for 50+ currency pairs including majors, minors and exotics.
Stream tick-level Forex, Crypto, Stock, Commodity and Index data over a single WebSocket and REST API. Get a free key in seconds — no sales call required.
| Symbol | Asset class | Price | Latest move |
|---|---|---|---|
| EUR/USD ForexEuro / US Dollar | Forex | - | - |
| BTC/USDT CryptoBitcoin | Crypto | - | - |
| ETH/USDT CryptoEthereum | Crypto | - | - |
| AAPL StockApple Inc. | Stock | - | - |
| XAU/USD CommodityGold Spot | Commodity | - | - |
| USD/JPY ForexUS Dollar / Yen | Forex | - | - |
| NVDA StockNVIDIA Corp. | Stock | - | - |
| SPX IndexS&P 500 Index | Index | - | - |
Every market AllTick covers is available through the same unified REST and WebSocket interface.
Tick-level quotes for 50+ currency pairs including majors, minors and exotics.
Real-time spot and derivatives data, normalized into one feed.
Equities across US, Hong Kong and mainland China with trades and quotes.
Live pricing for precious metals and energy.
Benchmark index values and constituents for major global indices.
Compare coverage, latency and data types across every AllTick market.
Browse productsHow AllTick compares to a typical legacy market-data vendor.
| Capability | AllTick | Typical Legacy Vendor |
|---|---|---|
| Median WebSocket latency | ~150ms | 400–800ms |
| Asset classes in one API | 5 (FX, Crypto, Stock, Commodities, Indices) | 1–2 |
| Uptime SLA | 99.95% | 99.5% or none |
| Free tier | Yes — instant API key | Sales call required |
| WebSocket streaming | Native | Polling / limited |
Connect over WebSocket and subscribe to any symbol across any market.
# AllTick realtime financial data API
# forex crypto stock commodities indices
import asyncio, json, uuid
import websockets
subscribe = {
"cmd_id": 22004,
"seq_id": 1,
"trace": str(uuid.uuid4()),
"data": {"symbol_list": [{"code": "EURUSD"}]},
}
heartbeat = {"cmd_id": 22000, "seq_id": 1, "trace": "heartbeat", "data": {}}
async def stream():
uri = "wss://quote.alltick.co/quote-b-ws-api?token=YOUR_API_KEY"
async with websockets.connect(uri) as socket:
await socket.send(json.dumps(subscribe))
async def keep_alive():
while True:
await asyncio.sleep(10)
await socket.send(json.dumps(heartbeat))
asyncio.create_task(keep_alive())
async for message in socket:
print(json.loads(message))
asyncio.run(stream())Cut market-data costs by 60% while adding crypto coverage.
“Migrating to AllTick let us consolidate three vendors into one WebSocket feed and ship our trading app a quarter early.”Read case study
Served 40k concurrent users with sub-200ms quote updates.
“The 99.95% SLA and consistent latency were exactly what our retail brokerage needed to scale globally.”Read case study
Backtested 12 years of tick data across 5 asset classes.
“Having historical and live data from a single normalized API removed weeks of data-engineering work.”Read case study
Generate a free API key in seconds and connect to every market from one endpoint.
Practical writing on market data engineering, streaming APIs and building low-latency financial applications.
Generate a free API key in seconds and connect to every market from one endpoint.

The price volatility in black futures is actually much more “capricious” than you might think. What seems like small ups and downs often hides a web of complex forces. Sometimes, even a 0.3% move on the screen can make beginners’ hearts rac
The price volatility in black futures is actually much more “capricious” than you might think. What seems like small ups and downs often hides a web of complex forces. Sometimes, even a 0.3% move on the screen can make beginners’ hearts race. Others, seeing a tiny fluctuation amplified into a potential loss, simply shut down their software. To understand all this, you first need to know why prices move in the first place.
Prices don’t jump around without reason. The black futures market has its own “personality,” and the mechanisms behind it can intensify the effect. Simply put, there are a few key points:
In other words, the fluctuations you see are often exaggerated compared to the actual underlying asset movement. Understanding this mechanism helps prevent you from being fooled by appearances.
Many people fear large swings, but small movements can also hide opportunities. For example, in contracts for difference (CFDs) or index-linked products, even a 0.3%–0.5% move can significantly affect your account under high leverage.
The key is knowing how to classify them:
By pulling historical volatility data and simulating account changes under different movement ranges, you can quantify both risks and opportunities. It’s far more reassuring than just watching the screen.
Price movement isn’t just about size—it’s also about “rhythm.” Continuous, pulsing, or irregular movements feel completely different depending on the time dimension.
Understanding fluctuations on a timeline prevents you from being startled by short-term spikes. Viewing minute-level or even second-level data allows you to see patterns across trading sessions, helping you determine if the rhythm aligns with your strategy.
Prices are the surface; data tells the real story. Using historical data, you can:
You’ll realize that many seemingly dramatic swings are just psychological or leverage-driven illusions. Historical data helps you identify the true volatility range, giving you confidence.
Volatility itself isn’t the enemy or a demon. It conveys information and presents opportunities. In the black futures market, understanding the amplitude, rhythm, and historical volatility structure allows even small swings to inform your decisions. Once you grasp the logic of volatility, both opportunities and risks can fall within your controllable range.
Generate a free API key in seconds and connect to every market from one endpoint.