RSI Hunter Multi-Factor Ranking Script
This project scrapes market indicator data from rsihunter.com, processes it using Python, and builds a multi-factor ranking model based on momentum and strength indicators. The script ranks assets using multiple signals and computes a composite score to identify the strongest candidates.
🚀 Overview Scrapes indicator table data from rsihunter.com Builds a structured pandas DataFrame Converts indicator columns into numeric format Computes three independent ranking factors: 24-hour price change rank RSI (Relative Strength Index) rank Relative strength rank Combines ranks using an average score Outputs a sorted list of strongest assets This follows a multi-factor momentum screening approach similar to quantitative trading models.
🧰 Tech Stack Python requests BeautifulSoup4 pandas numpy