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.

In financial development, the real-time nature and accuracy of data determine the value of an application. For multi-asset portfolio management, quantitative strategy validation, or investment decision-making tools, the ability to access th
In financial development, the real-time nature and accuracy of data determine the value of an application. For multi-asset portfolio management, quantitative strategy validation, or investment decision-making tools, the ability to access the latest market data instantly and visualize it intuitively is essential. This article shares a practical case on how to build a multi-asset real-time monitoring dashboard using AllTick API, discussing data acquisition, refresh strategies, and visualization design.
The goal is straightforward: enable multi-market, multi-asset data to update in real time on a single interface while also providing historical data for reference. To achieve this, three key aspects need attention:
AllTick API provides a stable foundation for these tasks. The REST API is used for historical data, while WebSocket handles real-time data push.
Historical data is mainly used to build foundational charts, such as daily, weekly charts or portfolio performance curves. AllTick provides extensive historical K-line data APIs in JSON format, which can be easily parsed on the frontend. Example request:
GET https://quote.alltick.co/quote-b-api/kline?token=YOUR_TOKEN&symbol=BTCUSDT&period=1d
The returned data includes open, close, high, low prices, and trading volume, enabling quick generation of line charts or candlestick charts.
Real-time market data is latency-sensitive. WebSocket connections allow continuous push updates, which are more efficient and lower latency than frequent REST polling. Example implementation:
const ws = new WebSocket('wss://quote.alltick.co/realtime?token=YOUR_TOKEN');
ws.onmessage = (event) => {
const data = JSON.parse(event.data);
updateDashboard(data);
};
Once the server pushes new market data, the frontend charts are updated immediately.
Real-time monitoring requires careful refresh strategies:
AllTick API is friendly for new developers and small-scale applications. Even the free plan supports real-time push and a limited number of API calls, sufficient for dashboard prototypes.
For multi-asset dashboards, visualization design needs to balance clarity and real-time updates:
Frontend libraries like ECharts or Chart.js can generate charts quickly. By updating data via WebSocket, charts refresh automatically, providing a smooth user experience.
Some key tips during implementation:
AllTick API’s stability and real-time performance allow developers to focus on UI and analytical logic rather than low-level data fetching.
Building a multi-asset real-time dashboard requires balancing historical data acquisition, real-time market pushes, and visualization design. AllTick API provides full support: REST for historical data and WebSocket for real-time market data, enabling efficient, intuitive, and stable monitoring tools.
This approach is suitable not only for quantitative strategy validation but also as a foundation for financial data analysis and investment tools. Using the free API Key, developers can quickly build prototypes and rapidly test ideas.
Generate a free API key in seconds and connect to every market from one endpoint.