Polymarket_data facilitates analysis of prediction markets by offering a comprehensive dataset of trading activity extracted from the Polymarket platform. The project structures the data into analysis-ready formats, addressing the need for accessible and detailed market data for research and application development. It uses Python with a modular architecture focused on data fetching, processing, and utility functions.
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Large Dataset: Contains 1.1 billion trading records from Polymarket's inception to the present, providing extensive historical data.
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Multiple Formats: Offers five distinct Parquet datasets optimized for different analytical use cases (raw events, processed trades, market metadata, clean market data, and user behavior).
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Real-time Fetching: Includes command-line tools for continuous data fetching, updating the dataset with new transactions in near real-time.
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Efficient Data Pipelines: Provides scripts to automate the entire data pipeline, from on-chain data retrieval to data cleaning and processing.
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Python API: Offers a Python library for easy integration of the data into custom analysis workflows and machine learning models.
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Historical Data: Covers a significant timeframe of Polymarket trading data, suitable for long-term analysis and trend identification.
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Modular Architecture: Distinct modules for data fetching, processing, and utilities enhance code maintainability and extensibility.
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Real-time Updates: Continuous fetching and processing via command-line tools enable real-time market monitoring and analysis.
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Python Library: Simplifies data access and manipulation using a well-defined and documented Python API.
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Data Cleaning: Provides data cleaning and processing scripts to prepare the data for various analytic tasks.
The project appears to be in a mature state with established data pipelines, a well-defined API, and comprehensive documentation. Recent commits and active issue tracking indicate ongoing maintenance. The project is widely used and has a strong community presence, demonstrating reliability.
Polymarket_data is beneficial for researchers, data scientists, and developers interested in prediction markets and behavioral economics. It addresses the scarcity of comprehensive and readily accessible data for analyzing these markets, providing a valuable resource for market research, behavioral studies, and quantitative modeling. It offers a complete solution for accessing, processing, and analyzing Polymarket data, saving users the effort of building their own data infrastructure.