Build Polymarket Data Aggregation System -- 2

Polymarket Data Aggregation & Analytics Platform

Project Overview
Build a data pipeline to collect, store, and query all historical and real-time data from Polymarket's APIs for market analysis and insights.
Requirements
1. Data Collection System

Initial Bulk Download: Fetch all historical data from Polymarket APIs:

Markets (all status: active, closed, archived)
Events and their associated markets
Order book data (current state)
Historical trades data
Historical price data (time series)


Incremental Updates: Set up scheduled jobs to fetch new/updated data every 5 minutes
Rate Limiting: Respect API limits, implement exponential backoff and error handling

2. Database Design & Storage
Choose and implement ONE of these options:

PostgreSQL

Database must store:

Markets metadata (questions, outcomes, dates, status)
Order book snapshots (timestamped)
Trade history
Price history (OHLCV-style if possible)
Market events and state changes

3. API Endpoints to Integrate

https://gamma-api.polymarket.com/markets
https://gamma-api.polymarket.com/events
https://clob.polymarket.com/book (order books)
https://clob.polymarket.com/prices-history (time series)
https://data-api.polymarket.com/trades (historical trades)
and others that are available

4. Query Interface
Build a simple REST API or dashboard that allows:

Search markets by keyword, category, date range
Filter by volume, liquidity, status
Get historical price charts for any market
View order book history over time
Aggregate statistics (total volume, market count, etc.)

5. Key Features

Market Screener: Find markets closing in next X minutes with volume > threshold
Historical Analysis: Track price movements and volume trends
Liquidity Monitoring: Monitor bid/ask spreads and depth over time
Data Export: Allow CSV/JSON export of query results

6. Additional Features once the basic system works

WebSocket integration for real-time updates
Advanced analytics (market volatility, arbitrage detection)
Automated alerts (market closing soon, price movements)
Data visualization dashboard
Dockerized deployment


Technical Stack

Backend: Python (FastAPI/Flask) or Node.js (Express)
Database: PostgreSQL
Scheduler: Cron jobs, APScheduler, or Celery
Optional Dashboard: React, Streamlit, or Grafana

Deliverables

Data Pipeline: Working scripts to download and update all Polymarket data
Database: Properly structured with indexes for fast queries
Frontend to view and analyze markets


Documentation:

Setup instructions (README)
Database schema documentation
API endpoint documentation


Query API/Dashboard: Interface to search and analyze stored data
Deployment Guide: Instructions for running on cloud (AWS/GCP/Heroku) or local server

Timeline - 2 - 3 weeks

Evaluation Criteria

Code quality and documentation
Database performance (can handle millions of records)
API response times (<500ms for typical queries)
Error handling and reliability
Data accuracy and completeness

Questions for Bidders

Which database would you recommend and why?
Estimated storage requirements for 1 year of data?
Your experience with similar data pipeline projects?
Proposed architecture diagram?
Tentative no of hours required according to you at this point?

## Note - If your github doesn't show similar relevant projects or your old reviews don't such such products, then it will be a no.