Automating cryptocurrency trading has become essential for traders seeking efficiency, speed, and precision in volatile markets. The Kucoin Python SDK—a powerful, community-driven tool—enables developers to interact seamlessly with the Kucoin exchange via REST APIs and WebSocket connections. Whether you're building a high-frequency trading bot, monitoring real-time market data, or managing your portfolio programmatically, this SDK delivers robust functionality for both synchronous and asynchronous workflows.
Designed as part of the broader CCXT (CryptoCurrency Trading) ecosystem, the kucoin-api package simplifies access to spot, margin, futures, and earn services on Kucoin. In this comprehensive guide, we’ll walk through installation, core usage patterns, key method categories, and best practices—equipping you with everything needed to start integrating automated strategies today.
Installing the Kucoin Python SDK
Getting started is straightforward using Python’s package manager, pip. To install the latest version of the kucoin-api library:
pip install kucoin-apiThis command installs all necessary dependencies and provides access to both synchronous and asynchronous interfaces. Make sure you're using Python 3.7 or higher for full compatibility, especially when leveraging async features.
💡 Pro Tip: Always use virtual environments (venvorconda) to isolate your project dependencies and avoid conflicts across different projects.
Once installed, you can begin interacting with Kucoin's trading engine immediately—no additional configuration required for public endpoints.
👉 Unlock advanced trading automation tools with real-time data integration.
Synchronous vs Asynchronous Usage
The SDK supports two primary modes: synchronous (sync) and asynchronous (async). Choosing between them depends on your application’s performance needs.
Sync Mode: Simple and Straightforward
Use sync mode for scripts that execute linearly and don’t require handling multiple requests at once.
from kucoin import KucoinSync
def main():
instance = KucoinSync({})
ob = instance.fetch_order_book("BTC/USDC")
print(ob)
main()This example fetches the current order book for BTC/USDC. It's ideal for one-off queries or batch processing tasks.
Async Mode: High Performance for Real-Time Systems
For applications requiring concurrent operations—like live market monitoring or multi-symbol analysis—use the async interface:
import asyncio
from kucoin import KucoinAsync
async def main():
instance = KucoinAsync({})
ob = await instance.fetch_order_book("BTC/USDC")
print(ob)
await instance.close()
asyncio.run(main())On Windows systems, you may need to set the event loop policy:
import sys
if sys.platform == 'win32':
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())Async mode significantly improves throughput when dealing with time-sensitive operations across multiple assets.
Leveraging WebSockets for Live Market Data
Real-time data is critical for algorithmic trading. The KucoinWs class enables persistent WebSocket connections to stream live updates:
from kucoin import KucoinWs
import asyncio
async def main():
instance = KucoinWs({})
while True:
ob = await instance.watch_order_book("BTC/USDC")
print(ob)
await instance.close()
asyncio.run(main())You can also monitor:
- Live trades with
watch_trades() - Order updates with
watch_orders() - Balance changes with
watch_balance()
WebSocket feeds reduce latency and server load compared to repeated REST polling.
👉 Discover how real-time APIs power next-generation trading strategies.
Core Functionalities: REST API Methods
The SDK offers three main method categories: Unified, Raw, and WebSocket. Unified methods provide standardized access across exchanges, while Raw methods expose Kucoin-specific endpoints.
Unified REST Methods (High-Level Interface)
These methods abstract complexity and support common trading actions:
fetch_order_book(symbol)– Retrieve current bids and askscreate_order(symbol, type, side, amount, price)– Place limit/market ordersfetch_balance()– Get wallet balancesfetch_ohlcv(symbol, timeframe)– Fetch candlestick data for technical analysiscancel_order(id, symbol)– Cancel open orderstransfer(code, amount, fromAccount, toAccount)– Move funds between accountswithdraw(code, amount, address)– Initiate withdrawals
Example: Placing a market buy order by cost:
order = instance.create_market_buy_order_with_cost("BTC/USDC", 100) # Buy $100 worth of BTCRaw REST Methods (Low-Level Access)
For granular control over private or advanced features:
private_post_orders(request)– Custom order placementprivate_get_fills(request)– Historical trade fillsfuturesprivate_get_position(request)– Futures position detailsearn_get_earn_staking_products(request)– Earn product listings
These are useful when working with isolated margin, futures contracts, or staking products.
WebSocket Unified Methods
Enable reactive programming with real-time streams:
watch_ticker(symbol)– Live price updateswatch_ohlcv(symbol, timeframe)– Streaming OHLCV barswatch_trades(symbol)– Real-time trade execution feedwatch_orders(symbol)– Track your active orderswatch_balance()– Monitor wallet balance changes
These methods automatically reconnect on disconnection and handle authentication seamlessly.
Advanced Use Cases and Raw API Calls
Need custom logic? You can construct raw requests directly:
request = {
'type': 'candleSnapshot',
'req': {
'coin': 'BTC',
'interval': '1h',
'startTime': 1672531200,
'endTime': 1672617600,
}
}
response = await instance.public_post_info(request)This pattern allows access to undocumented or niche endpoints without waiting for SDK updates.
Key Features Summary
| Feature | Supported |
|---|---|
| Spot Trading | ✅ |
| Margin & Isolated Margin | ✅ |
| Futures Trading | ✅ |
| Staking & Earn Products | ✅ |
| WebSocket Streaming | ✅ |
| Async/Await Support | ✅ |
| Cross-Platform Compatibility | ✅ |
Frequently Asked Questions (FAQ)
Q: Is the kucoin-api library officially supported by Kucoin?
A: No, it’s a community-maintained SDK part of the CCXT project. However, it's widely used and regularly updated.
Q: Can I use this SDK for futures trading?
A: Yes. The SDK includes full support for futures markets via dedicated endpoints like futuresprivate_get_position() and futurespublic_get_kline_query().
Q: How do I authenticate private API calls?
A: Set API keys in the constructor: KucoinAsync({'apiKey': 'YOUR_KEY', 'secret': 'YOUR_SECRET'}).
Q: Does it support rate limiting?
A: Yes. The SDK respects Kucoin’s rate limits and includes built-in cost calculation via calculate_rate_limiter_cost().
Q: Can I run this on Windows?
A: Absolutely. Just ensure you configure the asyncio event loop policy if using async functions.
Q: Where can I find updated documentation?
A: Visit CCXT’s official docs for detailed method references and examples.
Final Thoughts and Next Steps
The Kucoin Python SDK is a versatile tool for developers entering algorithmic crypto trading. Its dual sync/async design, rich method coverage, and real-time capabilities make it suitable for everything from simple bots to complex trading systems.
While the library lacks official backing from Kucoin, its integration into the CCXT framework ensures ongoing maintenance and cross-exchange compatibility—a major advantage for multi-platform strategies.
👉 Start building smarter trading systems with powerful API tools today.
Whether you're analyzing order books, executing trades at scale, or automating portfolio rebalancing, mastering this SDK puts you one step closer to professional-grade trading automation.