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 success of quantitative trading comes from the combination of the right methodology, high-quality data, and continuous iteration. Quantitative trading is not merely about writing code or staring at charts. At its core, it is an engineer
The success of quantitative trading comes from the combination of the right methodology, high-quality data, and continuous iteration.
Quantitative trading is not merely about writing code or staring at charts. At its core, it is an engineering discipline aimed at systematically building sustainable competitive advantages. A strategy alone is never enough—you need a complete pipeline covering discovery, validation, execution, and risk control. At the heart of all these stages lies real-time, high-quality market data.
Quantitative trading is not a one-off event, but a long-term path that requires sustained commitment.
You need to continuously cultivate curiosity about markets, data, and strategies, including:
Even when a strategy performs well, this level of obsession pushes you to search for new sources of alpha instead of settling for the status quo.
Without passion, you merely “execute mechanically.” With passion, you keep iterating as you uncover new edges, mechanisms, and risks.
In the end, quantitative trading is about edge. That edge may come from trend following, mean reversion, statistical arbitrage, or market microstructure trading.
A strong quant trader must be able to:
This process fundamentally depends on access to high-quality, high-frequency market data, especially during strategy development, where in-depth analysis of tick data, trades, and order book depth is essential.
With AllTick Real-Time Market Data API, you can:
In quantitative trading, staying in the game matters more than short-term windfalls.
Instead of focusing on absolute returns, you should prioritize:
Only when each unit of risk generates sufficient reward can a strategy survive in the long run.
High-quality data from AllTick helps you:
Success in quantitative trading is not about how much you make, but how long you can survive.
Capital is required to absorb drawdowns, scale strategies, and withstand unexpected risks. Repeated trial-and-error with insufficient capital often leads to instability. A more disciplined approach includes:
Complex rules may look impressive in backtests, but they are often overfitted and hard to debug.
High-quality strategies usually feature:
Simple rules adapt better to dynamic markets and are easier to monitor using API-driven data pipelines.
You may specialize in:
Or apply the same logic across multiple markets. Regardless of the choice, you should aim to build your own domain-specific expertise.
Stop-loss mechanisms are not just technical indicators—they are safety belts for your strategy.
They:
In extreme market conditions, a well-designed stop-loss can matter more than any indicator.
Modular code is the infrastructure of a quantitative trading system. It helps to:
Combined with AllTick API’s multi-language SDKs and clear documentation, modular design significantly boosts research and development efficiency.
Proper backtesting should include:
What you need is not just simulation results, but a verification process that continuously approaches real market conditions.
This requires reliable data sources such as:
AllTick provides professional-grade data to help you build a trustworthy backtesting and validation framework.
Serious quantitative teams:
Trading is not about winning once—it’s about consistently making correct decisions and refining the system over time.
From theory to practice, reliable and accurate data is indispensable.
Quantitative trading is engineering, not speculation.
With AllTick API’s real-time and historical market data, you can:
Get your free API key and register today to start building your quantitative trading system.
Generate a free API key in seconds and connect to every market from one endpoint.