nsefeed 1.0.2

Minimal python library for ingesting historical NSE India data - Indices, Equity, and Derivatives with yfinance-style API

nsefeed

Minimal python library for ingesting historical NSE India data historical data

A reliable NSE India API wrapper focused on historical data, inspired by yfinance's intuitive API design.

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✨ 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

pip install nsefeed

🚀 Quick Start

Ticker API (yfinance-style)

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

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

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

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:

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)

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📖 Documentation

For detailed documentation, see:

• 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 for details

🙏 Acknowledgments

• Inspired by yfinance for API design
• Data sourced from NSE India

⚠️ 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.

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Made with ❤️ for the Indian financial data community