CCXT vs the Alpaca API and alpaca-py

Alpaca is a US broker that offers stocks, options and crypto through one account and one set of API keys. It maintains its own client libraries — alpaca-py for Python, plus official SDKs for .NET/C#, Node, Go and Java listed on its SDKs and Tools page.

If you trade only crypto, and only at Alpaca, those SDKs are a reasonable default. The question that decides this comparison is narrower than usual: is Alpaca where your crypto trading ends, or where it starts?

TL;DR

• Pick alpaca-py if Alpaca is your whole platform — equities, options and crypto in one account — and you want request/response models that mirror Alpaca's own reference, plus the Broker API for building an investment app.
• Pick CCXT if crypto is the point and Alpaca is one venue among several. The same fetch_ticker / create_order calls work on Alpaca, Binance, Coinbase, Kraken and 100 more, in seven languages.
• CCXT does not cover Alpaca's equities or options. It is a crypto library. If you need stocks and crypto in one client, that is what alpaca-py is for, and running both is a normal setup.

At a glance

_{Figures verified September 2026 against CCXT v4.5.77, the alpacahq/alpaca-py and alpacahq/alpaca-trade-api-python repositories, Alpaca's SDKs and Tools page, and install counts from PyPI and npm.}

One thing that makes this comparison unusually clean: Alpaca already uses slash-separated crypto symbols. BTC/USD is Alpaca's own symbol and CCXT's unified symbol, so the migration table below has almost nothing to translate.

The same job, written both ways

Fetch a price

import ccxt

exchange = ccxt.alpaca()
ticker = exchange.fetch_ticker('BTC/USD')
print(ticker['last'], ticker['bid'], ticker['ask'])

The shape of the difference is the SDK's design, not its quality: alpaca-py is deliberately object-oriented, so nearly every call is "import a request model, construct it, hand it to the right client". CCXT returns a unified ticker structure — the same keys, types and units on Alpaca as on any other venue.

Place a limit order

import ccxt

exchange = ccxt.alpaca({'apiKey': '...', 'secret': '...'})
order = exchange.create_order('BTC/USD', 'limit', 'buy', 0.01, 60000)
print(order['id'], order['status'])

Alpaca supports market, limit and stop-limit orders for crypto with gtc and ioc time in force. CCXT maps those onto create_order with unified type, side and params, so the call reads the same as it does on the next exchange, and the returned order structure has the same keys.

Stream order updates

import ccxt.pro
import asyncio

async def main():
    exchange = ccxt.pro.alpaca({'apiKey': '...', 'secret': '...'})
    while True:
        orders = await exchange.watch_orders()
        for order in orders:
            print(order['id'], order['symbol'], order['status'], order['filled'])

asyncio.run(main())

Both work. The difference is the control flow: alpaca-py registers a callback and hands the loop to run(), while CCXT's watch_orders is a method you await, returning the same structure fetch_orders returns. That matters when the code that reacts to a fill also has to place the next order — with CCXT both live in the same function.

Where the differences actually bite

Alpaca is a venue, not a strategy

Alpaca lists a limited set of crypto assets — its own market-data documentation describes coverage as "5000+ stocks, 20+ crypto, and options". For a crypto strategy that is one book among many. In CCXT the venue is a variable, so adding a second one is configuration rather than a second integration:

for exchange_id in ['alpaca', 'coinbase', 'kraken', 'binance']:
    exchange = getattr(ccxt, exchange_id)()
    print(exchange_id, exchange.fetch_ticker('BTC/USD')['last'])

The official SDK cannot do that, by design. It is Alpaca's client for Alpaca.

Seven languages, one API

Alpaca publishes official SDKs for Python, .NET/C#, Node, Go and Java — genuinely good language coverage for a broker. They are five separate codebases, though, with their own idioms and release schedules. CCXT is written once in TypeScript and transpiled, so the method names, arguments and return structures are identical everywhere:

import ccxt
exchange = ccxt.alpaca()
ticker = exchange.fetch_ticker('BTC/USD')

Three hosts behind one client

Alpaca splits its API across a trading host, a market-data host and a broker host, and paper trading uses a different trading host again. CCXT models trader, market and broker as separate base URLs inside one exchange object, so fetch_ohlcv and create_order are calls on the same instance, and paper trading is one flag:

exchange = ccxt.alpaca({'apiKey': '...', 'secret': '...'})
exchange.set_sandbox_mode(True)   # swaps the trading host to paper-api.alpaca.markets

One error hierarchy

CCXT maps Alpaca's responses onto a typed exception tree — InsufficientFunds, InvalidOrder, OrderNotFound, RateLimitExceeded, AuthenticationError, NetworkError, ExchangeNotAvailable and 34 more, all descending from BaseError. You write except ccxt.InsufficientFunds once, and the same handler keeps working when the order goes to a different venue.

Precision and string math

load_markets() reads Alpaca's asset metadata and exposes it through amount_to_precision, price_to_precision and cost_to_precision, backed by the Precise string-arithmetic class so quantities do not drift through float rounding:

amount = exchange.amount_to_precision('BTC/USD', 0.0012345678)
price = exchange.price_to_precision('BTC/USD', 61234.56789)

Nothing is hidden — the implicit API

Alongside the 38 unified capabilities CCXT implements for Alpaca, all 70 endpoints in Alpaca's API are generated as callable implicit methods, with signing, rate limiting and error mapping applied:

# any raw Alpaca endpoint, camelCased from its path
response = exchange.trader_private_get_v2_account()

Browse them on the alpaca implicit API page. Choosing CCXT does not lock you out of an Alpaca-specific endpoint.

What the official Alpaca SDKs do better

An honest list, because these are real:

• Stocks and options. CCXT is a crypto library. Alpaca's SDKs give you equities, options and crypto in one client with one set of keys, and StockHistoricalDataClient, OptionHistoricalDataClient and NewsClient alongside the crypto ones. If your strategy touches equities at all, this is decisive.
• The Broker API. BrokerClient lets you open and manage end-user brokerage accounts — building a robo-advisor or a brokerage front end. CCXT has no equivalent and never will; it is a trading connectivity library, not a brokerage platform.
• Typed, validated request models. alpaca-py validates every request with pydantic at runtime, so a malformed order fails locally with a clear model error before it reaches the network. CCXT validates unified arguments but returns unified structures rather than Alpaca-shaped typed models.
• One-to-one fidelity with Alpaca's reference. MarketOrderRequest, notional, TimeInForce.GTC — the names in the SDK are the names in Alpaca's docs. CCXT's unified names are a deliberate abstraction and one more hop when you are debugging against the vendor reference.
• News and SSE data. Alpaca's news stream and server-sent-event endpoints are first-class in the SDK and are outside CCXT's unified surface.

If Alpaca is your brokerage and crypto is one sleeve of a multi-asset book, alpaca-py is the better primary dependency — and nothing stops you adding CCXT for the venues Alpaca does not list.

Migrating from alpaca-py to CCXT

Start with Install, then the Manual, then the alpaca unified API reference.

FAQ

Can CCXT trade stocks or options on Alpaca? No. CCXT is a cryptocurrency trading library, and its alpaca class covers Alpaca's crypto markets only — 38 unified capabilities, spot. For equities and options, use Alpaca's own SDKs. The two coexist happily in one project.

Does CCXT support Alpaca WebSockets? Yes. ccxt.pro.alpaca implements six streaming methods — watchTicker, watchOHLCV, watchOrderBook, watchTrades, watchOrders and watchMyTrades — against Alpaca's crypto data stream and trading stream. watch_order_book returns the same structure as fetch_order_book.

Does CCXT work with Alpaca paper trading? Yes. exchange.set_sandbox_mode(True) swaps the trading host to paper-api.alpaca.markets, both for REST and for the trading WebSocket. Use your paper keys; no other code changes.

Is alpaca-trade-api still the SDK to use? No. alpaca-trade-api-python is archived, and its own notice says "A new python SDK, Alpaca-py, is available. This SDK will be the primary python SDK starting in 2023." It still records 587k PyPI installs a month, which is mostly older code. New Alpaca integrations should use alpaca-py — or CCXT, if the job is crypto.

Can I still call Alpaca-specific endpoints from CCXT? Yes — all 70 of them, as implicit methods, with signing, rate limiting and error mapping applied.

Is CCXT free? Yes. MIT-licensed, including the WebSocket support.

Next steps

• Install CCXT in your language
• Manual — the unified API, structures and conventions
• alpaca unified API reference
• alpaca implicit API — every raw endpoint
• CCXT Pro manual — WebSocket methods
• More comparisons