The unofficial Python client for the Coinbase Advanced Trade API
Project description
Coinbase Advanced Trade API Python Client
This is the unofficial Python client for the Coinbase Advanced Trade API. It allows users to interact with the API to manage their cryptocurrency trading activities on the Coinbase platform.
Features
- Easy-to-use Python wrapper for the Coinbase Advanced Trade API
- Supports the new Coinbase Cloud authentication method
- Built on top of the official Coinbase Python SDK for improved stability
- Supports all endpoints and methods provided by the official API
- Added support for trading strategies covered on the YouTube channel
Setup
-
Install the package using pip:
pip install coinbase-advancedtrade-python
-
Obtain your API key and secret from the Coinbase Developer Platform. The new API key format looks like this:
API Key: organizations/{org_id}/apiKeys/{key_id} API Secret: -----BEGIN EC PRIVATE KEY-----\n...\n-----END EC PRIVATE KEY-----\n
Authentication
Here's an example of how to authenticate using the new method:
from coinbase_advanced_trader.enhanced_rest_client import EnhancedRESTClient
api_key = "organizations/{org_id}/apiKeys/{key_id}"
api_secret = "-----BEGIN EC PRIVATE KEY-----\n...\n-----END EC PRIVATE KEY-----\n"
client = EnhancedRESTClient(api_key=api_key, api_secret=api_secret)
Using the Official SDK
The EnhancedRESTClient
inherits from the Coinbase SDK's RESTClient
, which means you can use all the functions provided by the official SDK. Here's an example of how to use the get_product
function:
product_info = client.get_product(product_id="BTC-USDC")
print(product_info)
Using Wrapper Strategies
Here's an example of how to use the strategies package to buy $10 worth of Bitcoin. By making assumptions about limit price in trading_config.py we are able to simplify the syntax for making orders:
# Perform a market buy
client.fiat_market_buy("BTC-USDC", "10")
#Place a $10 buy order for BTC-USD near the current spot price of BTC-USDC
client.fiat_limit_buy("BTC-USDC", "10")
#Place a $10 buy order for BTC-USD at a limit price of $10,000
client.fiat_limit_buy("BTC-USDC", "10", "10000")
#Place a $10 buy order for BTC-USD at a 10% discount from the current spot price of BTC-USDC
client.fiat_limit_buy("BTC-USDC", "10", price_multiplier=".90")
#Place a $10 sell order for BTC-USD at a limit price of $100,000
client.fiat_limit_sell("BTC-USDC", "10", "100000")
#Place a $10 sell order for BTC-USD near the current spot price of BTC-USDC
client.fiat_limit_sell("BTC-USDC", "5")
#Place a $10 sell order for BTC-USD at a 10% premium to the current spot price of BTC-USDC
client.fiat_limit_sell("BTC-USDC", "5", price_multiplier="1.1")
Account Balance Operations
The EnhancedRESTClient
provides methods to retrieve account balances for cryptocurrencies. These methods are particularly useful for managing and monitoring your cryptocurrency holdings on Coinbase.
Listing All Non-Zero Crypto Balances
To get a dictionary of all cryptocurrencies with non-zero balances in your account:
balances = client.list_held_crypto_balances()
print(balances)
Getting a Specific Crypto Balance
To get the available balance of a specific cryptocurrency in your account (returns 0 if the specified cryptocurrency is not found in the account):
balance = client.get_crypto_balance("BTC")
print(balance)
Note: Both methods use a caching mechanism to reduce API calls. The account data is cached for one hour before a fresh fetch is made from Coinbase.
Usage of Fear and Greed Index
# Trade based on Fear and Greed Index
client.trade_based_on_fgi("BTC-USDC", "10")
You can also update and retrieve the Fear and Greed Index schedule:
# Get current FGI schedule
current_schedule = client.get_fgi_schedule()
# Update FGI schedule
new_schedule = [
{'threshold': 15, 'factor': 1.2, 'action': 'buy'},
{'threshold': 37, 'factor': 1.0, 'action': 'buy'},
{'threshold': 35, 'factor': 0.8, 'action': 'sell'},
{'threshold': 45, 'factor': 0.6, 'action': 'sell'}
]
client.update_fgi_schedule(new_schedule)
AlphaSquared Integration
This client now includes integration with AlphaSquared, allowing you to execute trading strategies based on AlphaSquared's risk analysis.
Setup
-
Obtain your AlphaSquared API key from AlphaSquared.
-
Initialize the AlphaSquared client along with the Coinbase client:
from coinbase_advanced_trader import EnhancedRESTClient, AlphaSquaredTrader
from alphasquared import AlphaSquared
# Initialize Coinbase client
coinbase_api_key = "YOUR_COINBASE_API_KEY"
coinbase_api_secret = "YOUR_COINBASE_API_SECRET"
coinbase_client = EnhancedRESTClient(api_key=coinbase_api_key, api_secret=coinbase_api_secret)
# Initialize AlphaSquared client
alphasquared_api_key = "YOUR_ALPHASQUARED_API_KEY"
alphasquared_client = AlphaSquared(alphasquared_api_key, cache_ttl=60)
# Create AlphaSquaredTrader
trader = AlphaSquaredTrader(coinbase_client, alphasquared_client)
Executing AlphaSquared Strategies
To execute a trading strategy based on AlphaSquared's risk analysis:
# Set trading parameters
product_id = "BTC-USDC"
# Your custom strategy name from AlphaSquared
strategy_name = "My Custom Strategy"
# Execute strategy
trader.execute_strategy(product_id, strategy_name)
This will:
- Fetch the current risk level for the specified asset from AlphaSquared.
- Determine the appropriate action (buy/sell) and value based on the custom strategy defined in AlphaSquared and the current risk.
- Execute the appropriate trade on Coinbase if the conditions are met.
Note: Make sure to handle exceptions and implement proper logging in your production code. This integration only works with custom strategies; it does not work with the default strategies provided by AlphaSquared.
Customizing Strategies
You can create custom strategies by modifying the execute_strategy
method in the AlphaSquaredTrader
class. This allows you to define specific trading logic based on the risk levels provided by AlphaSquared.
Legacy Support
The legacy authentication method is still supported but moved to a separate module. It will not receive the latest updates from the Coinbase SDK. To use the legacy method:
from coinbase_advanced_trader.legacy.legacy_config import set_api_credentials
from coinbase_advanced_trader.legacy.strategies.limit_order_strategies import fiat_limit_buy
legacy_key = "your_legacy_key"
legacy_secret = "your_legacy_secret"
set_api_credentials(legacy_key, legacy_secret)
# Use legacy functions
limit_buy_order = fiat_limit_buy("BTC-USDC", 10)
Documentation
For more information about the Coinbase Advanced Trader API, consult the official API documentation.
License
This project is licensed under the MIT License. See the LICENSE file for more information.
Author
Rhett Reisman
Email: rhett@rhett.blog
GitHub: https://github.com/rhettre/coinbase-advancedtrade-python
Disclaimer
This project is not affiliated with, maintained, or endorsed by Coinbase. Use this software at your own risk. Trading cryptocurrencies carries a risk of financial loss. The developers of this software are not responsible for any financial losses or damages incurred while using this software. Nothing in this software should be seen as an inducement to trade with a particular strategy or as financial advice.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file coinbase_advancedtrade_python-0.3.0.tar.gz
.
File metadata
- Download URL: coinbase_advancedtrade_python-0.3.0.tar.gz
- Upload date:
- Size: 34.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d89a8d664a01c1de3b0708214ae80ea4b999bc1443c830d2f992c4668c6be25 |
|
MD5 | 5850b9e06b1fd16f8eed307b6d4802a0 |
|
BLAKE2b-256 | 84a228076f4de2fc19345af3b13e62e877deac2bdd02220d9b976a86a86c9729 |
Provenance
File details
Details for the file coinbase_advancedtrade_python-0.3.0-py3-none-any.whl
.
File metadata
- Download URL: coinbase_advancedtrade_python-0.3.0-py3-none-any.whl
- Upload date:
- Size: 49.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6222c9dc50b8844d814442e17cdcb3c85f36cf61191442897544e612a6d1608d |
|
MD5 | e7dfd13793c808f7e3c6d50cf50ff17c |
|
BLAKE2b-256 | ed9b6a94b50e8f63804cf2967f8ff528623285d0632865e6a38cf017351d6024 |