nsefeed 1.0.2
Minimal python library for ingesting historical NSE India data - Indices, Equity, and Derivatives with yfinance-style API
License: Apache-2.0
Requires Python: >=3.9
Keywords: nse, nseindia, stock, market, finance, india, trading, stocks, equities, nifty, sensex, bhavcopy, ohlc, historical-data, derivatives, options, futures, capital-market, yfinance, data-ingestion, market-data, financial-data

# nsefeed

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**Minimal python library for ingesting historical NSE India data historical data**

[![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)

A reliable NSE India API wrapper focused on historical data, inspired by [yfinance](https://github.com/ranaroussi/yfinance)'s intuitive API design.

---

## ✨ Features

- **yfinance-style Ticker API** - Familiar, intuitive interface
- **Reliable CSV-based data** - Historical data from NSE archives (95%+ uptime)
- **Clean modular structure** - Following nselib's proven pattern
- **Comprehensive coverage** - Indices, Equity, and Derivatives historical data
- **Production-ready** - Caching, rate limiting, proper error handling
- **Type hints** - Full IDE support with type annotations

## 📦 Installation

```bash
pip install nsefeed
```

## 🚀 Quick Start

### Ticker API (yfinance-style)

```python
import nsefeed as nf

# Fetch historical data for a stock
ticker = nf.Ticker("RELIANCE")
df = ticker.history(period="1M")
print(df.head())

# Download multiple tickers
data = nf.download(["RELIANCE", "TCS", "INFY"], period="1M")
```

### Indices Module

```python
import nsefeed as nf

# Get index constituent stocks (WORKING)
stocks = nf.indices.constituent_stock_list("BroadMarketIndices", "Nifty 50")

# Get list of all indices in a category (WORKING)
indices = nf.indices.index_list("SectoralIndices")

# Historical index OHLC data (UNDER DEVELOPMENT - see limitations below)
# df = nf.indices.index_data("NIFTY 50", period="1M")  # Currently unavailable
# vix = nf.indices.india_vix_data(period="1M")  # Currently unavailable
```

### Equity Module

```python
import nsefeed as nf

# Get price, volume, and deliverable position data
df = nf.equity.get_price_volume_and_deliverable_position_data(
    "RELIANCE", period="1M"
)

# Get bulk deals
bulk = nf.equity.get_bulk_deal_data(period="1D")

# Get block deals
block = nf.equity.get_block_deals_data(period="1D")

# Get short selling data
short = nf.equity.get_short_selling_data(period="1D")
```

### Derivatives Module

```python
import nsefeed as nf

# Get futures data
futures = nf.derivatives.get_future_price_volume_data(
    "NIFTY", "FUTIDX", period="1M"
)

# Get options data
options = nf.derivatives.get_option_price_volume_data(
    "NIFTY", "OPTIDX", "CE", period="1M"
)

# Get F&O bhav copy
bhav = nf.derivatives.get_fno_bhav_copy("01-12-2024")
```

## 📊 Module Structure

```
nsefeed/
├── indices/          # Index data (NIFTY, sectoral, thematic indices)
├── equity/           # Equity historical data, bulk/block deals
├── derivatives/      # F&O historical data, bhav copy
├── ticker.py         # yfinance-style Ticker class
├── cache.py          # SQLite caching
├── session.py        # NSE session management
└── utils.py          # Utility functions
```

## 🎯 Design Philosophy

nsefeed focuses on **reliable historical data** using CSV-based NSE endpoints:

- **Not a live market data library** - We focus on historical data from NSE archives
- **CSV over JSON APIs** - More reliable and less prone to breaking changes
- **Quality over quantity** - Only functions that work reliably
- **Clean and minimal** - Following nselib's proven modular structure
- **Familiar API** - yfinance-style interface for ease of use

## 📝 Available Data

### Indices
- ✅ Index constituent lists
- ✅ Sectoral, thematic, and strategy indices listing
- ⚠️ Historical OHLCV for indices (under development - NSE API deprecated)
- ⚠️ India VIX historical data (under development - NSE API deprecated)

### Equity
- Historical price, volume, and deliverable position data
- Bulk deals and block deals
- Short selling data

### Derivatives
- Futures price and volume data
- Options price and volume data (CE/PE)
- F&O bhav copy (end-of-day snapshots)

## ⚠️ Known Limitations

### Historical Index Data (Under Development)

**Functions affected:**
- `nf.indices.index_data()` - Returns `NotImplementedError`
- `nf.indices.india_vix_data()` - Returns `NotImplementedError`

**Reason:** NSE India has deprecated their historical index data API endpoints. These functions are under development as we work on alternative data sources.

**Workaround:** Use constituent stocks to track index movement:

```python
import nsefeed as nf

# Get NIFTY 50 constituent stocks
stocks = nf.indices.constituent_stock_list("BroadMarketIndices", "Nifty 50")

# Fetch data for individual stocks
for symbol in stocks['Symbol'][:10]:
    df = nf.Ticker(symbol).history(period="1M")
    print(f"{symbol}: {len(df)} days of data")
```

**Working functions:**
- ✅ `nf.Ticker().history()` - Equity historical data (fully functional)
- ✅ `nf.equity.*` - All equity functions (fully functional)
- ✅ `nf.derivatives.*` - All derivatives functions (fully functional)
- ✅ `nf.indices.constituent_stock_list()` - Index constituents (fully functional)
- ✅ `nf.indices.index_list()` - List of indices (fully functional)

---

## 📖 Documentation

For detailed documentation, see:
- [RESTRUCTURE_PLAN.md](RESTRUCTURE_PLAN.md) - Architecture and design decisions
- API documentation (coming soon)

## 🤝 Contributing

Contributions are welcome! This library is designed to be minimal and focused on reliable historical data from NSE.

## 📄 License

Apache License 2.0 - See [LICENSE](LICENSE) for details

## 🙏 Acknowledgments

- Inspired by [yfinance](https://github.com/ranaroussi/yfinance) for API design
- Data sourced from [NSE India](https://www.nseindia.com)

## ⚠️ Disclaimer

This is an unofficial library. NSE India does not provide official APIs. This library uses publicly available data from NSE website and archives. Use at your own risk.

---

**Made with ❤️ for the Indian financial data community**