Aggregate Polymarket market and trade data into datasets and microstructure artifacts.
npx skills add https://github.com/rockomatthews/molt-scout --skill poly-data
Please help me install this Agent Skill. Skill: poly-data Source: https://github.com/rockomatthews/molt-scout/tree/main/skills/poly-data Command: npx skills add https://github.com/rockomatthews/molt-scout --skill poly-data
The poly-data skill unit streamlines the process of handling Polymarket data, allowing for the creation of datasets and trade/microstructure artifacts.
Run the pipeline with uv run python update_all.py.
High-intent search queries and answers about installing and using this skill.
You can aggregate Polymarket trade data for microstructure analysis by running a data pipeline that integrates markets, Goldsky orderFilled events, and processed trades to generate trade artifacts like volume and slippage estimates.
The best way to build a Polymarket dataset for financial analysis is to use a data pipeline that aggregates market and trade data, creating internal datasets that support the generation of volume and flow regime artifacts.
Yes, you can generate slippage estimates from Polymarket order flow data. The pipeline processes Goldsky orderFilled events and trades to produce microstructure artifacts including slippage estimates and volume flow regimes.
No, the Polymarket data pipeline does not require external dependencies to process trades. It runs independently using internal scripts to aggregate markets and Goldsky orderFilled events into processed trade datasets.
To run the Polymarket data pipeline and update trade artifacts, execute the command `uv run python update_all.py` which processes market and trade data to generate datasets and microstructure outputs.
Generating volume flow regime artifacts requires Polymarket data sources including market data, Goldsky orderFilled events, and processed trades, which the pipeline aggregates to produce the final microstructure outputs.
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