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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