This is an unofficial Python client for the AlphaSquared API. It allows users to interact with the API to retrieve asset information, strategy values, and hypothetical data for cryptocurrency trading.
- Easy-to-use Python wrapper for the AlphaSquared API
- Supports authentication using API tokens
- Implements rate limiting to comply with API usage rules
- Provides methods to retrieve asset information, strategy values, and hypothetical data
- Includes error handling and logging functionality
- Fetch comprehensive asset data (price, risk, market cap, etc.)
- Get custom strategy values
- Built-in caching to reduce API calls
- Automatic rate limiting to comply with API rules
Install the package using pip:
pip install alphasquared-py
To use the AlphaSquared API, you need to obtain an API token from your AlphaSquared account dashboard. Once you have your token, you can authenticate as follows:
from alphasquared import AlphaSquared
api = AlphaSquared("YOUR_API_TOKEN")
btc_info = api.get_asset_info("BTC")
print(btc_info)
strategy_values = api.get_strategy_values("My Custom Strat")
print(strategy_values)
eth_hypotheticals = api.get_hypotheticals("ETH")
print(eth_hypotheticals)
btc_comprehensive = api.get_comprehensive_asset_data("BTC")
print(btc_comprehensive)
action, value = api.get_strategy_value_for_risk("My Custom Strat", 50)
print(f"Action: {action}, Value: {value}")
current_risk = api.get_current_risk("BTC")
print(current_risk)
This example demonstrates how to get the current risk for an asset, then use that risk level to determine the strategy action and value:
# Get the current risk for BTC
btc_risk = api.get_current_risk("BTC")
print(f"Current BTC Risk: {btc_risk}")
# Define your strategy name in AlphaSquared
strategy_name = "My Custom Strat"
# Get the strategy action and value for the current risk
action, value = api.get_strategy_value_for_risk(strategy_name, btc_risk)
print(f"For risk {btc_risk}: Action = {action.upper()}, Value = {value}")
The client includes built-in error handling. You can check for errors in the API responses:
result = api.get_asset_info("INVALID_ASSET")
if api.has_error(result):
print("An error occurred:", result["error"])
The client automatically handles rate limiting to ensure compliance with the API's usage rules (6 requests per minute).
The client uses caching to reduce the number of API calls. You can set the cache TTL (time-to-live) when initializing the client. The default cache TTL is 5 minutes.
api = AlphaSquared("YOUR_API_TOKEN", cache_ttl=300) # 5 minutes
For more information about the AlphaSquared API, consult the official API documentation.
This project is licensed under the MIT License. See the LICENSE file for more information.
This project is not affiliated with, maintained, or endorsed by AlphaSquared. 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.
For any issues, questions, or assistance, please open an issue on the GitHub repository or contact AlphaSquared support at [email protected].