JX3 Market Analysis

JX3 Market Analysis

An in-depth data analysis project focused on the in-game economy of JX3 (剑网3), a popular Chinese MMORPG. This project demonstrates capabilities in data scraping, processing, and visualization.

The Challenge

The in-game market is volatile. Players often struggle to know when to buy or sell materials. Manual tracking is tedious and prone to error.

Approach

I built a Python-based pipeline to scrape market data from the official game API and third-party aggregators. The data is then processed to identify trends, arbitrage opportunities, and historical price floors.

Insights

  • Seasonal Trends: Prices of crafting materials spike 2 weeks before a new expansion.
  • Weekly Cycles: Prices dip on Tuesday maintenance days.

Tech Stack

  • Data Collection: Python (Scrapy)
  • Analysis: Pandas, NumPy
  • Visualization: Matplotlib, Streamlit