Crypto Correlation Matrix (Portfolio Diversification Analysis)
DeprecatedPricing
$8.00 / 1,000 runs
Computes Pearson correlation matrix of daily returns for crypto assets. Identify highly correlated assets (same risk) or low-correlation pairs (diversification). CoinGecko free API, 7/30/90 day windows. No API key. $0.003/pair.
You can access the Crypto Correlation Matrix (Portfolio Diversification Analysis) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("gochujang/crypto-correlation-matrix").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Crypto Correlation Matrix (Portfolio Diversification Analysis) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
Crypto Correlation Matrix (Portfolio Diversification Analysis) API in JavaScript
Crypto Correlation Matrix (Portfolio Diversification Analysis) API through CLI
Crypto Correlation Matrix (Portfolio Diversification Analysis) OpenAPI definition
Crypto Correlation Matrix (Portfolio Diversification Analysis) API