pyquotex is a Python library designed to easily integrate with the Quotex API, enabling automated trading operations. Fully open-source and licensed under MIT, the library provides features like order execution, balance checking, real-time market data collection, and more. Perfect for traders and developers looking to build efficient and customized solutions.
View the Project on GitHub cleitonleonel/pyquotex
🚨 Considerations and Warnings
API Limitations
- Authentication and Session:
- The API uses a websocket-based authentication system
- Sessions may expire and require reconnection
- Possible blocking by Cloudflare due to multiple automated connection attempts
- Technical Restrictions:
- Requires Python 3.8 or higher
- Dependent on the latest version of OpenSSL
- Websocket connections may be unstable under certain network conditions
- Operations:
- There is a limit on the frequency of operations
- Some functionalities may not be available in demo mode
- Expiration times have specific formats that must be respected
Best Practices
- Connection:
# Implement automatic reconnection
async def connect(attempts=5):
check, reason = await client.connect()
if not check:
attempt = 0
while attempt <= attempts:
if not await client.check_connect():
check, reason = await client.connect()
- Asset Management:
- Always verify if the asset is available before operating
- Use the
get_available_asset()
function with the force_open
parameter
- Implement market hours validations
- Operations:
- Keep a record of all operations
- Implement loss and gain limits
- Do not perform multiple simultaneous operations without control
- Resource Management:
- Always close websocket connections after use
- Implement timeouts in operations
- Properly manage memory in long operations
Common Error Handling
- Connection Error:
try:
await client.connect()
except Exception as e:
print(f"Connection error: {str(e)}")
# Implement reconnection or error handling
- Common Errors:
WebSocket connection failed
: Network or server issues
Asset is closed
: Asset not available for operation
Not enough money
: Insufficient funds
Token rejected
: Expired session
- Solutions:
- Implement automatic retries for connection errors
- Validate asset status before operating
- Verify balance before performing operations
- Handle automatic reconnection for expired tokens
Security Considerations
- Credentials:
- Do not store credentials in code
- Use environment variables or secure configuration files
- Regularly rotate passwords
- Connection:
- Always use SSL/TLS connections
- Verify SSL certificates
- Implement appropriate timeouts
- Data:
- Do not expose sensitive information in logs
- Clear session data upon closing
- Keep dependencies up to date
- Operations:
- Implement operation limits
- Validate all inputs
- Maintain audit logs
Usage Recommendations
- Development:
- Start with a demo account
- Perform thorough testing
- Implement detailed logging
- Keep the code modular
- Production:
```python
Recommended configuration example
client = Quotex(
email=os.getenv(‘QUOTEX_EMAIL’),
password=os.getenv(‘QUOTEX_PASSWORD’),
lang=”en”,
debug_ws_enable=False
)
Implement error handling
try:
check_connect, message = await client.connect()
if check_connect:
# Operation logic
pass
else:
logger.error(f”Connection error: {message}”)
finally:
client.close()
```
- Monitoring:
- Implement a logging system
- Monitor websocket connections
- Control the status of operations
- Implement alerts
- Risk Management:
- Establish loss limits
- Implement automatic stops
- Diversify operations
- Maintain detailed records
⚠️ Important Warnings
- This API is for educational and development use.
- Financial operations carry inherent risks.
- The continuous functioning of the API is not guaranteed.
- It is recommended to implement additional security measures.
- The platform may change without prior notice.
📚 Additional Resources
🤝 Contributions
Contributions are welcome. Please follow best development practices and adequately document changes.