Indian Stock API

Why This Library Exists

Trading with Indian brokers is painful. Here are the problems this library solves:

The Problems

• Symbol Hell: Each broker uses different symbols (RELIANCE vs RELIANCE-EQ vs RELIANCE.NS)
• Token Management: You need to manually find and manage broker-specific tokens
• Broker Lock-in: Switching brokers means rewriting your entire trading code
• Complex APIs: Each broker has different API structures and authentication methods
• Request/Response Formats: Different JSON structures, field names, and data formats
• Data Inconsistency: Same instrument, different data formats across brokers

The Solution

This library provides a unified interface that:

• No Symbol Management: Use standard symbols (RELIANCE, BANKNIFTY) - we handle broker mapping
• No Token Hassle: We automatically resolve broker-specific tokens
• Easy Broker Switching: Change brokers with just one line of code
• Consistent API: Same methods work across all brokers
• Standardized Data: Uniform data format regardless of broker
• Unified Request/Response: Same JSON structure across all brokers

Overview

The Indian Stock API is a Python package for trading Indian stocks, futures, options, commodities, and currencies. Connect to multiple Indian brokers, fetch real-time data, place orders, and manage your trading account - without worrying about broker-specific details.

Features

• Unified API - Same methods work across all brokers
• No Symbol Management - Use standard symbols, we handle broker mapping
• No Token Hassle - Automatic token resolution for all instruments
• Easy Broker Switching - Change brokers with one line of code
• Standardized Data - Uniform request/response format
• Login & Authentication to multiple Indian brokers
• Fetch Candles - OHLCV data for any timeframe
• Place Orders - Buy/Sell stocks, futures, options
• Real-time Data - Live prices and market depth
• Portfolio Management - View positions and P&L
• Multiple Brokers - AngelOne, Zerodha, Upstox, and more
• All Exchanges - NSE, BSE, MCX, NCDEX

Installation

pip install india-stocks-api

Quick Start

Easy Broker Switching

from india_stocks_api import brokers

# Start with AngelOne
broker = brokers.AngelOne()
broker.login("api_key", "username", "password")

# Your trading code works the same way
candles = broker.get_candles("RELIANCE", "NSE", "1minute", limit=100)
order = broker.place_order("RELIANCE", "NSE", "BUY", 10, "MARKET", "INTRADAY")

# Switch to Zerodha? Just change one line!
broker = brokers.Zerodha()
broker.login("user_id", "password", "totp")

# Same code works - no changes needed!
candles = broker.get_candles("RELIANCE", "NSE", "1minute", limit=100)
order = broker.place_order("RELIANCE", "NSE", "BUY", 10, "MARKET", "INTRADAY")

No Symbol Management Required

# Use standard symbols - we handle broker mapping automatically
symbols = ["RELIANCE", "TCS", "INFY", "BANKNIFTY", "GOLD"]

for symbol in symbols:
    # Works with any broker - no symbol conversion needed
    candles = broker.get_candles(symbol, "NSE", "1minute", limit=10)
    print(f"{symbol}: {candles[-1]['close']}")

Login to Broker

from india_stocks_api import brokers

# Login to AngelOne
angelone = brokers.AngelOne()
angelone.login(
    api_key="your_api_key",
    username="your_username",
    password="your_password"
)

# Login to Zerodha
zerodha = brokers.Zerodha()
zerodha.login(
    user_id="your_user_id",
    password="your_password",
    totp="your_totp"
)

Fetch Candles (OHLCV Data)

# Get 1-minute candles for RELIANCE
candles = angelone.get_candles(
    symbol="RELIANCE",
    exchange="NSE",
    interval="1minute",
    from_date="2024-01-01",
    to_date="2024-01-31"
)

print(f"Got {len(candles)} candles")
for candle in candles[-5:]:  # Last 5 candles
    print(f"Date: {candle['date']}, Open: {candle['open']}, High: {candle['high']}, Low: {candle['low']}, Close: {candle['close']}, Volume: {candle['volume']}")

Place Orders

# Buy 10 shares of RELIANCE
order = angelone.place_order(
    symbol="RELIANCE",
    exchange="NSE",
    transaction_type="BUY",
    quantity=10,
    order_type="MARKET",
    product="INTRADAY"
)

print(f"Order placed: {order['order_id']}")

# Place limit order
limit_order = angelone.place_order(
    symbol="RELIANCE",
    exchange="NSE",
    transaction_type="SELL",
    quantity=10,
    order_type="LIMIT",
    price=2500.00,
    product="DELIVERY"
)

Get Live Prices

# Get current price
price = angelone.get_quote("RELIANCE", "NSE")
print(f"RELIANCE: {price['last_price']}")

# Get multiple quotes
quotes = angelone.get_quotes([
    {"symbol": "RELIANCE", "exchange": "NSE"},
    {"symbol": "TCS", "exchange": "NSE"},
    {"symbol": "INFY", "exchange": "NSE"}
])

for quote in quotes:
    print(f"{quote['symbol']}: {quote['last_price']}")

View Portfolio

# Get positions
positions = angelone.get_positions()
print("Current Positions:")
for position in positions:
    print(f"{position['symbol']}: {position['quantity']} @ {position['average_price']}")

# Get holdings
holdings = angelone.get_holdings()
print("Holdings:")
for holding in holdings:
    print(f"{holding['symbol']}: {holding['quantity']} shares")

# Get P&L
pnl = angelone.get_pnl()
print(f"Total P&L: {pnl['total_pnl']}")

Advanced Trading

Futures & Options Trading

# Buy BANKNIFTY future
fno_order = angelone.place_order(
    symbol="BANKNIFTY28OCT25FUT",
    exchange="NSE",
    transaction_type="BUY",
    quantity=25,  # Lot size
    order_type="MARKET",
    product="MIS"
)

# Buy BANKNIFTY option
option_order = angelone.place_order(
    symbol="BANKNIFTY28OCT2545000CE",
    exchange="NSE",
    transaction_type="BUY",
    quantity=25,
    order_type="LIMIT",
    price=150.00,
    product="MIS"
)

Commodity Trading

# Buy GOLD commodity
gold_order = angelone.place_order(
    symbol="GOLD",
    exchange="MCX",
    transaction_type="BUY",
    quantity=1,  # 1 kg
    order_type="MARKET",
    product="INTRADAY"
)

Algorithmic Trading Example

import time
from datetime import datetime

# Simple moving average strategy
def trading_strategy():
    while True:
        # Get current price
        price = angelone.get_quote("RELIANCE", "NSE")
        current_price = price['last_price']

        # Get 20-period SMA
        candles = angelone.get_candles("RELIANCE", "NSE", "1minute", limit=20)
        sma_20 = sum(c['close'] for c in candles) / len(candles)

        # Trading logic
        if current_price > sma_20 * 1.01:  # Price 1% above SMA
            angelone.place_order("RELIANCE", "NSE", "SELL", 10, "MARKET", "INTRADAY")
            print(f"Sold RELIANCE at {current_price}")
        elif current_price < sma_20 * 0.99:  # Price 1% below SMA
            angelone.place_order("RELIANCE", "NSE", "BUY", 10, "MARKET", "INTRADAY")
            print(f"Bought RELIANCE at {current_price}")

        time.sleep(60)  # Check every minute

# Run strategy
trading_strategy()

Error Handling

try:
    order = angelone.place_order("RELIANCE", "NSE", "BUY", 10, "MARKET", "INTRADAY")
    print(f"Order successful: {order['order_id']}")
except Exception as e:
    print(f"Order failed: {e}")
    # Handle insufficient funds, invalid symbol, etc.

Supported Brokers

• AngelOne - Full support for all features
• Zerodha - Coming soon
• Upstox - Coming soon
• ICICI Direct - Coming soon
• 5Paisa - Coming soon

Supported Exchanges

• NSE - National Stock Exchange
• BSE - Bombay Stock Exchange
• MCX - Multi Commodity Exchange
• NCDEX - National Commodity & Derivatives Exchange

Common Use Cases

Day Trading

# Quick day trading setup - works with any broker
broker = brokers.AngelOne()  # or brokers.Zerodha()
broker.login("api_key", "username", "password")

# Get intraday candles - same code for all brokers
candles = broker.get_candles("RELIANCE", "NSE", "5minute", limit=100)

# Place quick order - unified API
order = broker.place_order("RELIANCE", "NSE", "BUY", 10, "MARKET", "INTRADAY")

Swing Trading

# Swing trading with daily candles - broker agnostic
daily_candles = broker.get_candles("RELIANCE", "NSE", "1day", limit=50)

# Place delivery order - same method for all brokers
order = broker.place_order("RELIANCE", "NSE", "BUY", 100, "LIMIT", "DELIVERY", price=2400)

Options Trading

# Buy call option - standard symbol, we handle broker mapping
call_order = broker.place_order("BANKNIFTY28OCT2545000CE", "NSE", "BUY", 25, "MARKET", "MIS")

# Buy put option - same API across brokers
put_order = broker.place_order("BANKNIFTY28OCT2545000PE", "NSE", "BUY", 25, "MARKET", "MIS")

Multi-Broker Strategy

# Run same strategy across multiple brokers
brokers_list = [brokers.AngelOne(), brokers.Zerodha()]

for broker in brokers_list:
    broker.login("credentials...")

    # Same trading logic works for all brokers
    candles = broker.get_candles("RELIANCE", "NSE", "1minute", limit=20)
    if candles[-1]['close'] > candles[-2]['close']:
        broker.place_order("RELIANCE", "NSE", "BUY", 10, "MARKET", "INTRADAY")

Documentation

For End Users

• Quick Start Guide - Get started in minutes
• API Reference - Complete API documentation with examples
• Migration Guide - Upgrade instructions and troubleshooting

For Developers

• Architecture Overview - System design and components
• Broker Integration Guide - Add support for new brokers
• Database Schema - Database structure and relationships
• Design Philosophy - Core principles and design decisions

License

This project is licensed under the MIT License. See the LICENSE file for details.

Version

Current version: 1.0.0

Contact

For any inquiries, please contact me or open an issue in the repository.