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Description:

alphasquaredpy 0.3.0

AlphaSquared Python Client
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.
Features

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

Installation
Install the package using pip:
pip install alphasquared-py

Authentication
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")

Usage
Retrieving Asset Information
btc_info = api.get_asset_info("BTC")
print(btc_info)

Getting Strategy Values
strategy_values = api.get_strategy_values("My Custom Strat")
print(strategy_values)

Fetching Hypothetical Data
eth_hypotheticals = api.get_hypotheticals("ETH")
print(eth_hypotheticals)

Fetching Comprehensive Asset Data
btc_comprehensive = api.get_comprehensive_asset_data("BTC")
print(btc_comprehensive)

Getting Strategy Action and Value for a Specific Risk Level
action, value = api.get_strategy_value_for_risk("My Custom Strat", 50)
print(f"Action: {action}, Value: {value}")

Getting Current Risk Level
current_risk = api.get_current_risk("BTC")
print(current_risk)

Getting Strategy Action and Value Based on 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}")

Error Handling
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"])

Rate Limiting
The client automatically handles rate limiting to ensure compliance with the API's usage rules (6 requests per minute).
Caching
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

Documentation
For more information about the AlphaSquared API, consult the official API documentation.
License
This project is licensed under the MIT License. See the LICENSE file for more information.
Disclaimer
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.
Support
For any issues, questions, or assistance, please open an issue on the GitHub repository or contact AlphaSquared support at admin@alphasquared.io.