Santiment Data Fetcher
The Santiment API empowers traders and analysts with seamless access to cryptocurrency insights through the Santiment API, enabled by the Python library sanpy. This node streamlines the process of retrieving a wide range of critical market data, enabling you to make informed decisions with precision and confidence.
Effortless Data Access: The Santiment Data Fetcher node eliminates the complexities of data retrieval from the Santiment API. Connect with ease and harness a wealth of cryptocurrency metrics, news sentiment, social volume, and more.
Built on the robust Python library sanpy, this node provides a powerful interface for fetching Santiment data directly into your trading strategies, analytics, and visualizations.
Metrics at Your Fingertips:
Retrieve crucial metrics like active addresses, trading volumes, price trends, and more. Empower your analysis with quantitative insights from the world of cryptocurrencies.
News Sentiment Analysis:
While the Santiment API does not natively provide news sentiment data, you can complement your analysis by integrating third-party sentiment analysis libraries like VADER or TextBlob to gauge the sentiment of news articles related to your selected assets.
Tailor data retrieval to your specific needs using customizable parameters such as time intervals, asset slugs, and date ranges.
Access to Santiment’s comprehensive data empowers you to make well-informed decisions, whether you’re fine-tuning trading algorithms or conducting comprehensive research.
Harness the power of the Santiment API to streamline your data-driven cryptocurrency analysis. Uncover insights, refine strategies, and gain a competitive edge in the dynamic world of digital assets.
import san # Set your Santiment API key santiment_api_key = "YOUR_SANTIMENT_API_KEY" san.ApiConfig.api_key = santiment_api_key # Fetch and print timeseries data for a specific metric and asset data = san.get( "active_addresses_24h", # Metric name for 24-hour active addresses slug="bitcoin", # Asset symbol (e.g., "bitcoin") from_date="2022-01-01", # Start date of data retrieval to_date="2022-01-05", # End date of data retrieval interval="1d" # Data interval (1 day) ) # Print the fetched data print("Active Addresses Bitcoin (1d interval):") print(data)