ccxt-python▌
ccxt/ccxt · updated May 20, 2026
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A comprehensive guide to using CCXT in Python projects for cryptocurrency exchange integration.
CCXT for Python
A comprehensive guide to using CCXT in Python projects for cryptocurrency exchange integration.
Installation
REST API (Standard)
pip install ccxt
WebSocket API (Real-time, ccxt.pro)
pip install ccxt
Optional Performance Enhancements
pip install orjson # Faster JSON parsing
pip install coincurve # Faster ECDSA signing (45ms → 0.05ms)
Both REST and WebSocket APIs are included in the same package.
Quick Start
REST API - Synchronous
import ccxt
exchange = ccxt.binance()
exchange.load_markets()
ticker = exchange.fetch_ticker('BTC/USDT')
print(ticker)
REST API - Asynchronous
import asyncio
import ccxt.async_support as ccxt
async def main():
exchange = ccxt.binance()
await exchange.load_markets()
ticker = await exchange.fetch_ticker('BTC/USDT')
print(ticker)
await exchange.close() # Important!
asyncio.run(main())
WebSocket API - Real-time Updates
import asyncio
import ccxt.pro as ccxtpro
async def main():
exchange = ccxtpro.binance()
while True:
ticker = await exchange.watch_ticker('BTC/USDT')
print(ticker) # Live updates!
await exchange.close()
asyncio.run(main())
REST vs WebSocket
| Import | For REST | For WebSocket |
|---|---|---|
| Sync | import ccxt |
(WebSocket requires async) |
| Async | import ccxt.async_support as ccxt |
import ccxt.pro as ccxtpro |
| Feature | REST API | WebSocket API |
|---|---|---|
| Use for | One-time queries, placing orders | Real-time monitoring, live price feeds |
| Method prefix | fetch_* (fetch_ticker, fetch_order_book) |
watch_* (watch_ticker, watch_order_book) |
| Speed | Slower (HTTP request/response) | Faster (persistent connection) |
| Rate limits | Strict (1-2 req/sec) | More lenient (continuous stream) |
| Best for | Trading, account management | Price monitoring, arbitrage detection |
When to use REST:
- Placing orders
- Fetching account balance
- One-time data queries
- Order management (cancel, fetch orders)
When to use WebSocket:
- Real-time price monitoring
- Live orderbook updates
- Arbitrage detection
- Portfolio tracking with live updates
Creating Exchange Instance
REST API - Synchronous
import ccxt
# Public API (no authentication)
exchange = ccxt.binance({
'enableRateLimit': True # Recommended!
})
# Private API (with authentication)
exchange = ccxt.binance({
'apiKey': 'YOUR_API_KEY',
'secret': 'YOUR_SECRET',
'enableRateLimit': True
})
REST API - Asynchronous
import ccxt.async_support as ccxt
exchange = ccxt.binance({
'apiKey': 'YOUR_API_KEY',
'secret': 'YOUR_SECRET',
'enableRateLimit': True
})
# Always close when done
await exchange.close()
WebSocket API
import ccxt.pro as ccxtpro
# Public WebSocket
exchange = ccxtpro.binance()
# Private WebSocket (with authentication)
exchange = ccxtpro.binance({
'apiKey': 'YOUR_API_KEY',
'secret': 'YOUR_SECRET'
})
# Always close when done
await exchange.close()
Common REST Operations
Loading Markets
# Load all available trading pairs
exchange.load_markets()
# Access market information
btc_market = exchange.market('BTC/USDT')
print(btc_market['limits']['amount']['min']) # Minimum order amount
Fetching Ticker
# Single ticker
ticker = exchange.fetch_ticker('BTC/USDT')
print(ticker['last']) # Last price
print(ticker['bid']) # Best bid
print(ticker['ask']) # Best ask
print(ticker['volume']) # 24h volume
# Multiple tickers (if supported)
tickers = exchange.fetch_tickers(['BTC/USDT', 'ETH/USDT'])
Fetching Order Book
# Full orderbook
orderbook = exchange.fetch_order_book('BTC/USDT')
print(orderbook['bids'][0]) # [price, amount]
print(orderbook['asks'][0]) # [price, amount]
# Limited depth
orderbook = exchange.fetch_order_book('BTC/USDT', 5) # Top 5 levels
Creating Orders
Limit Order
# Buy limit order
order = exchange.create_limit_buy_order('BTC/USDT', 0.01, 50000)
print(order['id'])
# Sell limit order
order = exchange.create_limit_sell_order('BTC/USDT', 0.01, 60000)
# Generic limit order
order = exchange.create_order('BTC/USDT', 'limit', 'buy', 0.01, 50000)
Market Order
# Buy market order
order = exchange.create_market_buy_order('BTC/USDT', 0.01)
# Sell market order
order = exchange.create_market_sell_order('BTC/USDT', 0.01)
# Generic market order
order = exchange.create_order('BTC/USDT', 'market', 'sell', 0.01)
Fetching Balance
balance = exchange.fetch_balance()
print(balance['BTC']['free']) # Available balance
print(balance['BTC']['used']) # Balance in orders
print(balance[how to use ccxt-pythonHow to use ccxt-python on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ccxt-python
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/ccxt/ccxt --skill ccxt-pythonThe skills CLI fetches ccxt-python from GitHub repository ccxt/ccxt and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/ccxt-pythonReload or restart Cursor to activate ccxt-python. Access the skill through slash commands (e.g., /ccxt-python) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
✓Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
✓Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
✓Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.7★★★★★44 reviews- ★★★★★Isabella White· Dec 24, 2024
ccxt-python is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Lucas Harris· Dec 16, 2024
Useful defaults in ccxt-python — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Dec 4, 2024
Registry listing for ccxt-python matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Oshnikdeep· Nov 23, 2024
ccxt-python reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mia Gonzalez· Nov 15, 2024
Solid pick for teams standardizing on skills: ccxt-python is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Oct 14, 2024
I recommend ccxt-python for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mia Diallo· Oct 6, 2024
We added ccxt-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sakshi Patil· Sep 21, 2024
Solid pick for teams standardizing on skills: ccxt-python is focused, and the summary matches what you get after install.
- ★★★★★Zaid Bhatia· Sep 13, 2024
ccxt-python reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yuki Sanchez· Sep 1, 2024
I recommend ccxt-python for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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