CCXT Async Exchange List: Connect to 100+ Markets

If you've ever tried to pull order books from Binance while simultaneously checking funding rates on Bybit and scanning for arbitrage on OKX — all at once — you've hit the wall that synchronous code builds for you. CCXT's async exchange list solves this. It gives you access to over 100 cryptocurrency exchanges through a single, unified API, and when you run it with Python's asyncio, you stop waiting for one request to finish before starting the next. The result is faster bots, cleaner code, and the ability to monitor multiple markets without your script grinding to a halt.

What Is the CCXT Async Exchange List?

CCXT (CryptoCurrency eXchange Trading Library) is the de facto standard library for connecting trading bots and scripts to cryptocurrency exchanges. The library ships in two flavors: a synchronous version where each API call blocks until it returns, and an async version built on Python's asyncio that lets you fire off multiple requests concurrently. The async exchange list is simply the set of exchange classes available in ccxt.async_support — essentially a mirror of the main library, but every method is a coroutine you can await.

When you import ccxt.async_support, you get access to the same exchanges — Binance, Bybit, OKX, Gate.io, KuCoin, Bitget, Coinbase Advanced Trade, and over 100 others — but structured so your event loop can manage them without blocking. This matters enormously for algo traders who need real-time data from several venues at once.

import ccxt.async_support as ccxt

# List every exchange available in async mode
print(ccxt.exchanges)
# ['aax', 'alpaca', 'ascendex', 'bequant', 'bigone', 'binance', 'binancecoinm',
#  'binanceus', 'bingx', 'bit2c', 'bitbank', 'bitbns', 'bitcoincom', 'bitfinex',
#  'bitget', 'bithumb', 'bitmart', 'bitopro', 'bitpanda', 'bitrue', 'bitso',
#  'bitstamp', 'bittrex', 'bitvavo', 'bl3p', 'blockchaincom', 'bybit', 'cex',
#  'coinbase', 'coinbaseinternational', 'coincheck', 'coinex', 'coinlist',
#  'coinmate', 'coinone', 'coinsph', 'cryptocom', 'currencycom', 'delta',
#  'deribit', 'digifinex', 'exmo', 'gate', 'gemini', 'hitbtc', 'hollaex',
#  'htx', 'huobi', 'idex', 'independentreserve', 'indodax', 'kraken',
#  'krakenfutures', 'kucoin', 'kucoinfutures', 'latoken', 'lbank', 'luno',
#  'lykke', 'mercado', 'mexc', 'ndax', 'novadax', 'oceanex', 'okcoin',
#  'okx', 'p2b', 'paymium', 'phemex', 'poloniex', 'probit', 'tidex',
#  'timex', 'tokocrypto', 'tradeogre', 'upbit', 'wavesexchange', 'wazirx',
#  'whitebit', 'woo', 'xt', 'yobit', 'zaif', 'zonda', ...]

print(f"Total async exchanges: {len(ccxt.exchanges)}")

Setting Up Async Connections to Multiple Exchanges

The workflow is straightforward: instantiate each exchange class from ccxt.async_support, run your coroutines with asyncio.gather(), and close every exchange connection when you're done. The critical step beginners skip is calling exchange.close() — async HTTP sessions stay open until explicitly closed, which leaks resources.

import asyncio
import ccxt.async_support as ccxt

async def fetch_ticker(exchange, symbol):
    try:
        ticker = await exchange.fetch_ticker(symbol)
        return {
            'exchange': exchange.id,
            'symbol': symbol,
            'bid': ticker['bid'],
            'ask': ticker['ask'],
            'last': ticker['last']
        }
    except Exception as e:
        return {'exchange': exchange.id, 'error': str(e)}

async def main():
    # Instantiate async exchange objects
    exchanges = [
        ccxt.binance(),
        ccxt.bybit(),
        ccxt.okx(),
        ccxt.gate(),
        ccxt.kucoin(),
    ]

    symbol = 'BTC/USDT'

    try:
        # Fire all requests concurrently
        results = await asyncio.gather(
            *[fetch_ticker(ex, symbol) for ex in exchanges]
        )
        for r in results:
            if 'error' not in r:
                print(f"{r['exchange']:12} | bid: {r['bid']:>10,.2f} | ask: {r['ask']:>10,.2f}")
            else:
                print(f"{r['exchange']:12} | ERROR: {r['error']}")
    finally:
        # Always close — never skip this
        await asyncio.gather(*[ex.close() for ex in exchanges])

asyncio.run(main())

Always close async exchange instances with await exchange.close() or inside an async context manager. Failing to do so leaves unclosed SSL sessions that generate warnings and eventually exhaust your connection pool.

Comparing Key Exchanges Available in CCXT Async

Not every exchange on the list is equally capable. Before you wire up your bot, it's worth knowing what each venue actually supports through the CCXT interface. Binance and OKX have the deepest API coverage — almost every CCXT method is implemented. Bybit and Gate.io are close behind, with solid futures and spot support. KuCoin covers most endpoints but has tighter rate limits. Coinbase Advanced Trade has the cleanest regulatory standing for US-based traders but a more limited derivatives offering.

Fee-sensitive strategies need to go to OKX or Binance first. Volume-based discounts on Binance can push maker fees down to 0.012% for high-tier VIP users — a figure that completely changes the math on grid bots and market-making strategies. On KuCoin, holding KCS tokens gets you a 20% discount off standard fees, which matters for bots running hundreds of trades per day.

Handling Rate Limits Across the Exchange List

The biggest mistake with async CCXT is treating concurrency as unlimited. Every exchange enforces rate limits, and hammering them with too many concurrent requests will get your IP banned or your API key suspended. CCXT has a built-in rate limiter you activate per instance, but when you're running against multiple exchanges simultaneously you need to think about this deliberately.

import asyncio
import ccxt.async_support as ccxt

async def build_exchange(exchange_id: str, api_key: str = None, secret: str = None):
    """Factory with rate limiting enabled by default."""
    exchange_class = getattr(ccxt, exchange_id)
    config = {
        'enableRateLimit': True,  # built-in throttle — always enable
        'rateLimit': 100,         # ms between requests (override per-exchange if needed)
    }
    if api_key:
        config['apiKey'] = api_key
        config['secret'] = secret

    return exchange_class(config)

async def safe_fetch(exchange, method: str, *args):
    """Wrap any CCXT call with error handling."""
    try:
        fn = getattr(exchange, method)
        return await fn(*args)
    except ccxt.RateLimitExceeded:
        print(f"{exchange.id}: rate limit hit, backing off...")
        await asyncio.sleep(2)
        return None
    except ccxt.NetworkError as e:
        print(f"{exchange.id}: network error — {e}")
        return None
    except ccxt.ExchangeError as e:
        print(f"{exchange.id}: exchange error — {e}")
        return None

async def main():
    binance = await build_exchange('binance')
    bybit = await build_exchange('bybit')
    okx = await build_exchange('okx')

    try:
        books = await asyncio.gather(
            safe_fetch(binance, 'fetch_order_book', 'ETH/USDT', 5),
            safe_fetch(bybit,   'fetch_order_book', 'ETH/USDT', 5),
            safe_fetch(okx,     'fetch_order_book', 'ETH/USDT', 5),
        )
        for exchange_id, book in zip(['binance', 'bybit', 'okx'], books):
            if book:
                best_bid = book['bids'][0][0]
                best_ask = book['asks'][0][0]
                print(f"{exchange_id}: bid={best_bid} ask={best_ask} spread={best_ask - best_bid:.4f}")
    finally:
        await asyncio.gather(
            binance.close(), bybit.close(), okx.close()
        )

asyncio.run(main())

Set enableRateLimit: True on every exchange instance. CCXT's built-in limiter respects each exchange's documented limits automatically. You can override rateLimit in milliseconds if you need tighter control for VIP API keys with higher quotas.

Scanning the Full Exchange List for Arbitrage Opportunities

One practical use of the full async exchange list is systematic price scanning. You load a subset of exchanges, poll the same symbol across all of them concurrently, and flag when the spread between best bid on one venue and best ask on another exceeds your transaction cost threshold. Tools like VoiceOfChain handle this at the signal layer — surfacing real-time order flow imbalances and price divergences across venues — but building your own scanner on top of CCXT gives you full control over which exchanges you monitor and what logic triggers an alert.

import asyncio
import ccxt.async_support as ccxt
from itertools import combinations

EXCHANGES_TO_SCAN = ['binance', 'bybit', 'okx', 'gate', 'bitget']
SYMBOL = 'SOL/USDT'
MIN_SPREAD_PCT = 0.15  # flag if spread > 0.15%

async def get_best_prices(exchange):
    try:
        ob = await exchange.fetch_order_book(SYMBOL, 1)
        return {
            'id': exchange.id,
            'bid': ob['bids'][0][0] if ob['bids'] else None,
            'ask': ob['asks'][0][0] if ob['asks'] else None,
        }
    except Exception:
        return {'id': exchange.id, 'bid': None, 'ask': None}

async def main():
    exchanges = [
        getattr(ccxt, ex_id)({'enableRateLimit': True})
        for ex_id in EXCHANGES_TO_SCAN
    ]
    try:
        prices = await asyncio.gather(*[get_best_prices(ex) for ex in exchanges])
        prices = [p for p in prices if p['bid'] and p['ask']]

        for a, b in combinations(prices, 2):
            # Buy on a, sell on b
            spread = (b['bid'] - a['ask']) / a['ask'] * 100
            if spread > MIN_SPREAD_PCT:
                print(f"OPPORTUNITY: buy {SYMBOL} on {a['id']} @ {a['ask']:.4f}, "
                      f"sell on {b['id']} @ {b['bid']:.4f} | spread: {spread:.3f}%")

        print("\nCurrent prices:")
        for p in sorted(prices, key=lambda x: x['ask']):
            print(f"  {p['id']:12} ask={p['ask']:.4f}  bid={p['bid']:.4f}")
    finally:
        await asyncio.gather(*[ex.close() for ex in exchanges])

asyncio.run(main())

In practice, exchange-to-exchange arbitrage on spot is difficult to execute profitably after accounting for withdrawal fees and transfer times. The more actionable use of this pattern is monitoring funding rate differentials between Bybit perpetuals and OKX perpetuals on the same asset, or identifying when a token lists on Gate.io before it propagates to larger venues — both scenarios where a few seconds of informational edge translate into real profit.

Using CCXT Async with WebSockets for Real-Time Feeds

REST polling has a ceiling. Even async REST calls add latency per round trip. For strategies that need sub-second market data — scalping, liquidation hunting, or reacting to large order flow events — you want WebSocket streams. CCXT Pro (the paid tier of CCXT) adds watch_* methods that maintain persistent WebSocket connections with the same unified interface. The exchange list for CCXT Pro overlaps heavily with async_support, and the programming model is identical: you await a coroutine, you get data.

# CCXT Pro example — persistent WebSocket order book
import asyncio
import ccxtpro as ccxt  # pip install ccxt[pro]

async def watch_trades(exchange, symbol):
    while True:
        trades = await exchange.watch_trades(symbol)
        for trade in trades:
            print(f"{exchange.id} {symbol} {trade['side']:4} {trade['amount']:>10.4f} @ {trade['price']:>10.2f}")

async def main():
    binance = ccxt.binance({'enableRateLimit': True})
    bybit   = ccxt.bybit({'enableRateLimit': True})

    try:
        await asyncio.gather(
            watch_trades(binance, 'BTC/USDT'),
            watch_trades(bybit,   'BTC/USDT'),
        )
    finally:
        await binance.close()
        await bybit.close()

asyncio.run(main())

Combining WebSocket trade feeds from Binance and Bybit with signal data from a platform like VoiceOfChain — which aggregates on-chain flow, funding rates, and large order events — gives you a layered view: raw trade prints from the exchange APIs, plus interpreted signals that indicate whether large players are accumulating or distributing. The raw data tells you what happened; the signals tell you what it might mean.

Frequently Asked Questions

Putting It Together

The CCXT async exchange list is one of the most practical tools in a crypto developer's arsenal. A unified interface across 100+ venues, combined with Python's asyncio, means you can build a multi-exchange data pipeline in an afternoon that would have taken weeks of custom API integration work five years ago. Start with a handful of exchanges — Binance and OKX for liquidity depth, Bybit for derivatives, Gate.io for early token listings — and expand as your strategy demands.

The pattern scales well: the same code that fetches one ticker from one exchange fetches fifty tickers from ten exchanges with a single asyncio.gather call. Layer in a signal source like VoiceOfChain for interpreted market intelligence, and you have the foundation for a serious systematic trading setup. Keep your rate limiters on, close your connections cleanly, and handle errors at every step — the exchanges don't care if your bot crashes, but your P&L does.

• Import ccxt.async_support, not ccxt, for concurrent multi-exchange bots
• Always set enableRateLimit: True — CCXT handles throttling automatically
• Use asyncio.gather() to fire requests to Binance, Bybit, OKX, and others simultaneously
• Always call await exchange.close() when done — unclosed sessions leak resources
• Switch to CCXT Pro watch_* WebSocket methods for sub-second latency requirements
• Combine raw CCXT data with interpreted signals from VoiceOfChain for edge on entry timing