---
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)
```python
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:
```@misc{Aabishkar2_nepse_data,
  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}
}