{"repo":"harrodyuan/kalshi-data-collector","free":true,"listed":false,"github":"https://github.com/harrodyuan/kalshi-data-collector","clone":"git clone https://github.com/harrodyuan/kalshi-data-collector.git","description":"Kalshi Data Collection Pipeline","language":"Python","stars":17,"topics":["kalshi","kalshi-api","polymarket","api-client","market-data","prediction-markets","python","trading"],"license":"MIT","category":"trading","readme_excerpt":"Kalshi Data Collection Pipeline A robust Python tool for collecting and analyzing market data from Kalshi. Setup Prerequisites - Python 3.8+ - Required packages: Install using pip install -r requirements.txt Authentication 1. Create private key.pem in project root directory 2. Add your Kalshi private key to this file 3. Update key id in configuration Pipeline Components Core Scripts - open events collector.py : Fetches open events from Kalshi - open market collector.py : Collects detailed market data - process open events.py : Processes and formats event data - process market details.py : Analyzes and processes market details - pipeline all kalshi.py : Main pipeline orchestrator Directory Structure Usage Run Complete Pipeline To execute the entire data collection and processing pipeline: This will: 1. Collect all open events 2. Gather market data 3. Process events into CSV format 4. Process market details with statistics Output The pipeline generates: - JSON files containing raw data - CSV files with processed data - Summary statistics for markets Pipeline Steps 1. Event Collection: Fetches current open events 2. Market Collection: Gathers detailed market data 3. Event Processing: Converts events to structured format 4. Market Processing: Analyzes market details and statistics","default_branch":null,"files":null,"tree":[],"storefront":"/r/harrodyuan","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/harrodyuan/kalshi-data-collector/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}