Metadata-Version: 2.4
Name: jb3
Version: 0.1.0
Summary: JB3 package – unified access to LJSE and NASDAQ financial data
Author-email: Janez Bucar <gospod.bucarrr@gmail.com>
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: tqdm
Requires-Dist: ljse
Dynamic: license-file

# JB3

**JB3** is a Python package providing unified access to **LJSE** and **NASDAQ** financial data. It allows easy download, cleaning, and pivoting of historical stock data for analysis and research.

## Features
	•	Download historical NASDAQ and LJSE stock data
	•	Clean and format numeric columns (close, open, high, low, volume)
	•	Pivot data by ticker for easy analysis
	•	Flexible filtering by exchange, market cap, analyst rating, sector, region, and country

## Installation

Run the following command to install JB3:

```bash
pip install jb3
```

## Usage

Import the module and download data as follows:

```python
from jb3 import nasdaq

Download NASDAQ data for AAPL

df = nasdaq.download_ticker_data(“AAPL”, clean=True, pivot_col=“close”)
print(df.head())
```

## Parameters for Screeners
	•	**Exchange**: NASDAQ, Global Select, Global Market, Capital Market, ADR, NYSE, AMEX
	•	**Market Cap**: Mega (>$200B), Large ($10B-$200B), Medium ($2B-$10B), Small ($300M-$2B), Micro ($50M-$300M), Nano (<$50M)
	•	**Analyst Rating**: Strong Buy, Hold, Buy, Sell, Strong Sell
	•	**Sector**: Technology, Telecommunications, Healthcare, Financials, Real Estate, Consumer Discretionary, Consumer Staples, Industrials, Basic Materials, Energy, Utilities
	•	**Region**: Africa, Asia, Australia and South Pacific, Caribbean, Europe, Middle East, North America, South America
	•	**Country**: United States, Israel, Malaysia, United Kingdom, Netherlands, China, Canada, South Korea, Guernsey, Singapore, Taiwan, Switzerland, Belgium, Cayman Islands, Norway, Brazil, Ireland, Australia


## LJSE Documentation

https://pypi.org/project/LJSE/
