metadata
license: mit
tags:
- finance
pretty_name: Nepali_bank_data
Dataset Description: w4ashabii/bank_data
Summary
This dataset contains financial data for commercial banks in Nepal, including daily stock prices (OHLC), static stock summary metrics, and quarterly financial indicators.
Contents
1. Daily Stock Price Data (15 files)
Files: ADBL.csv, CZBIL.csv, EBL.csv, GBIME.csv, HBL.csv, KBL.csv, MBL.csv, NABIL.csv, NBB.csv, NBL.csv, NICA.csv, PCBL.csv, PRVU.csv, SANIMA.csv
Columns:
- published_date: Trading date (YYYY-MM-DD)
- open: Opening price (Rs)
- high: Highest price (Rs)
- low: Lowest price (Rs)
- close: Closing price (Rs)
- per_change: Percentage change
- traded_quantity: Number of shares traded
- traded_amount: Total traded amount (Rs) [often zero in preview]
- status: Integer (0 or 1)
2. Static Stock Summary (1 file)
File: Bank Nepse General.csv
Columns:
- S.N., Symbol, Company, Listed Share, Paid-up (Rs), Total Paid-up Capital (Rs), Market Capitalization (Rs), Date of Operation, LTP, As Of
3. Quarterly Financial Indicators (1 file)
File: Key Financial indicators of Commerical banks (quaterly) - Sheet 1.csv
Key metrics: Solvency Core Capital, CAR (%), CCDRatio, NPL (%), Base Rate, Spread, SLR, Net Liquidity, etc.
Known Issues
- Column mismatch between files prevents using load_dataset() directly
- traded_amount often contains zeros (possibly missing data)
Loading (use pandas separately)
import pandas as pd
adbl = pd.read_csv("https://huggingface.co/datasets/w4ashabii/bank_data/resolve/main/ADBL.csv")
summary = pd.read_csv("https://huggingface.co/datasets/w4ashabii/bank_data/resolve/main/Bank%20Nepse%20General.csv")
quarterly = pd.read_csv("https://huggingface.co/datasets/w4ashabii/bank_data/resolve/main/Key%20Financial%20indicators%20of%20Commerical%20banks%20(quaterly)%20-%20Sheet%201.csv")
Credits
This dataset is derived from the nepse-data repository by Aabishkar Wagle. If you use this dataset, please cite the original source:
author = {Aabishkar Wagle},
title = {nepse-data: Historical and current datasets of Nepal Stock Market listed companies},
year = {2026},
url = {https://github.com/Aabishkar2/nepse-data}
}