Kraken Exchange Trading Bot Setup: A Comprehensive Guide
Kraken, one of the oldest cryptocurrency exchanges, offers a robust platform for both retail and institutional traders alike. It is well-known for its high throughput, low latency trading engine, and comprehensive set of order types. If you are looking to automate your trades using a bot on Kraken, this guide will walk you through setting up a trading bot with Python, leveraging the Kraken API (Application Programming Interface).
Understanding the Kraken API
Kraken provides an API that allows developers to access data and functionality such as account information, order status, trade history, and more in real-time. The Kraken API is divided into two types: WebSocket feed and HTTP public feeds. For bot operations, you would be most interested in the private authenticated feed, which requires a user authentication key (API Key) to access and use.
Prerequisites
Before we dive into setting up your trading bot on Kraken, ensure you have the following:
1. Kraken Account: If you don't already have one, visit kraken.com/en/retail-api.html to create an account. Note that for bot operations, you need a 'Real' account rather than a demo or test one.
2. API Key and Secret: After creating your account, navigate to the "Profile" section in your Kraken account dashboard, then click on "Access Control". From there, generate an API key (APISecret) for the trading pair you intend to trade. This is crucial as it grants access to the private authenticated feed.
3. Python Development Environment: Ensure Python 3.6 or above is installed on your machine. You also need pipenv or virtualenv installed for managing dependencies.
4. Requests Library: This library is used for HTTP requests, and can be easily installed via pip if it's not already included with your Python installation.
5. Pipenv or Virtual Environment: For dependency management, both are optional but recommended. You can install Pipenv using: `pip install pipenv`.
Setting Up the Trading Bot
Step 1: Create a New Project Directory
First, create a new directory for your project and navigate to it in your terminal or command prompt. Initialize a virtual environment (or use pipenv) by running:
```bash
pipenv --python=3.7
pipenv shell
```
This will set up a clean Python environment specific to this project.
Step 2: Install Required Libraries
Install the 'requests' library for HTTP requests and other necessary packages using Pipenv:
```bash
pipenv install requests python-decimal pytz tzlocal krakenex
```
The `krakenex` package is a Python wrapper for Kraken API.
Step 3: Writing the Bot Script
Create a new file named `bot.py` and start with the boilerplate code to establish a connection with the Kraken API using your API key:
```python
import requests
from krakenex import Kraken
from pipenv.patched.open import open
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'
KRAKEN = Kraken(apiKey=API_KEY, secretKey=SECRET_KEY)
```
Replace `'your_api_key'` and `'your_secret_key'` with your actual API key.
Step 4: Retrieving Balance Information
To check your balance before starting trades, you can use the following code snippet:
```python
def get_balance():
balance = KRAKEN.get_balance('XXBTZEUR')
print(f"Balance of XXBTZEUR is {balance['free']} + {balance['used']}")
```
This script retrieves the balance for a specific trading pair (in this case, Bitcoin in Euros) and prints it to your console.
Step 5: Order Placement
To place an order using your bot, you can use the following function as an example:
```python
def create_order(price=None):
if price is None:
If no price is provided, use market maker best price for this pair.
ticker = KRAKEN.get_ticker('XXBTZEUR')
price = ticker['last']
else:
assert isinstance(price, (int, float))
order = {
'pair': 'XXBTZEUR', # Trading pair
'type': 'limit', # The type of order. "market" for market orders etc.
'price': price, # Price to fill the limit at.
'volume': 0.1, # Volume of asset being traded. In this case: 0.1 Bitcoin
}
res = KRAKEN.create_order(**order) # Send order request
```
This script places a limit order to buy Bitcoin at the provided price (or the current best bid if none is given). The volume of the trade is set to 0.1 Bitcoin, which can be adjusted based on your strategy or risk management considerations.
Step 6: Continuous Monitoring and Updating Orders
Your bot script will need continuous monitoring for order status updates, order cancellation, etc. Kraken provides a method `get_order` that allows you to retrieve the status of an open order by its clientID (an identifier generated by your script when placing the order).
Step 7: Testing and Deployment
After developing your bot, test it extensively in various market conditions. Once satisfied with its performance, deploy it to a server or cloud function that can run continuously, monitoring and updating orders as necessary. For continuous running and reliability, consider using technologies like Docker for containerization and services like Heroku or AWS for deployment.
Conclusion
Setting up a trading bot on Kraken is an exciting venture that opens many opportunities in the cryptocurrency market. This guide has provided you with a step-by-step approach to setting your bot up, from initial API key setup through order placement and continuous monitoring. The world of automated trading is vast and complex; always ensure thorough testing before going live and consider consulting with experts or joining communities for support throughout this journey.