17 million Polymarket price snapshots, collected on one Mac for $0/month

Short summary

Developer built a continuously-running Polymarket data archive collecting 17.5 million price snapshots (20,931 markets, 86 days of history) via Python + SQLite on a single Mac at zero monthly cost. System uses smart indexing and append-only immutable rows for true time-series reconstruction, exported to Parquet. Sample dataset and full archive available with plans for automated quarterly refreshes.

• •17.5M price snapshots collected every 15 minutes at zero monthly infrastructure cost
• •Smart indexing strategy (composite index) and append-only architecture preserve accurate time-series history
• •Sample data, schema, and full archive available; developer considering automated quarterly refreshes

Generated with AI, which can make mistakes.