Qlib Custom Data Project

Overview

Custom stock data analysis setup using Qlib, with support for CSV data conversion and visualization.

Directory Structure

• /data: Location for CSV and converted bin files (not tracked in git)
• /scripts: Python scripts for data conversion and verification
• /docker: Docker-related files
• /notebooks: Jupyter notebooks for analysis

Setup Instructions

1. Data Preparation

• Place your CSV file at: /root/.qlib/csv_data/my_data/all_stock_data.csv
• CSV must have columns: date, open, high, low, close, volume, factor

2. Convert Data

Run the conversion script in your Qlib container:

python scripts/dump_bin.py