Skip to main content

Python SDK for Arrow Trading API

Project description

PyArrow – Official Python Client for Arrow Trading API

PyPI version License: MIT Python Versions Downloads

PyArrow is the official Python SDK for the Arrow Trading Platform, providing comprehensive access to trading APIs, real-time market data, and order management capabilities. Built for traders, quants, and fintech developers who need reliable, high-performance access to Indian financial markets.

🚀 Key Features

📊 Market Data & Analytics

  • Real-time quotes, OHLC, LTP, and market depth
  • Historical candle data retrieval
  • Option chain data and expiry information
  • Market holidays and trading calendars
  • Index listings and sector data

💼 Order Management

  • Place, modify, and cancel orders across exchanges
  • Support for all order types (Market, Limit, SL, SL-M)
  • Bulk cancel all orders functionality
  • Real-time order status tracking
  • Trade book and order book access

📡 Real-time Streaming

  • WebSocket-based live market data feeds
  • Order and position update streams
  • Multiple subscription modes (LTPC, Quote, Full)
  • Automatic reconnection with exponential backoff
  • Thread-safe event handling

🔐 Authentication & Security

  • OAuth-based authentication flow
  • TOTP (Time-based OTP) integration
  • Automatic session management
  • Token refresh and validation

📦 Installation

pip install pyarrow-client

Requirements:

  • Python 3.7+
  • requests, websocket-client, pyotp, pyarrow, dateutil

🏃‍♂️ Quick Start

Authentication

from pyarrow import ArrowClient

# Initialize client
client = ArrowClient(app_id="your_app_id")

# Method 1: Manual login (web-based)
login_url = client.login_url()
print(f"Visit: {login_url}")
# After authorization, get request_token from callback
client.login(request_token="token_from_callback", api_secret="your_secret")

# Method 2: Automated login
client.auto_login(
    user_id="your_user_id",
    password="your_password", 
    api_secret="your_api_secret",
    totp_secret="your_totp_secret"
)

Basic Trading Operations

from pyarrow import Exchange, OrderType, ProductType, TransactionType, Variety, Retention

# Place a buy order
order_id = client.place_order(
    exchange=Exchange.NSE,
    symbol="RELIANCE-EQ",
    quantity=1,
    disclosed_quantity=0,
    product=ProductType.CNC,
    order_type=OrderType.LIMIT,
    variety=Variety.REGULAR,
    transaction_type=TransactionType.BUY,
    price=1450.0,
    validity=Retention.DAY
)

print(f"Order placed: {order_id}")

# Get order book
orders = client.get_order_book()
for order in orders:
    print(f"Order {order['id']}: {order['orderStatus']}")

# Get specific order details
order_details = client.get_order_details(order_id)
print(f"Order details: {order_details}")

# Get trade book
trades = client.get_trade_book()
print(f"Trades: {trades}")

# Get positions
positions = client.get_positions()
print(f"Positions: {positions}")

# Get user holdings
holdings = client.get_holdings()
print(f"Current holdings: {holdings}")

📡 Real-time Market Data

WebSocket Streaming

from pyarrow import ArrowStreams, DataMode

# Initialize streams
streams = ArrowStreams(
    appID="your_app_id",
    token="your_access_token",
    debug=True
)

# Set up event handlers
def on_tick(tick):
    print(f"Token: {tick.token} LTP: {tick.ltp} Change: {tick.net_change}%")

def on_order_update(order):
    print(f"Order Update: {order}")

def on_connect():
    print("Connected to data stream")

def on_disconnect():
    print("Disconnected from data stream")

# Connect handlers
streams.data_stream.on_ticks = on_tick
streams.data_stream.on_connect = on_connect
streams.data_stream.on_disconnect = on_disconnect

streams.order_stream.on_order_update = on_order_update

# Connect to streams
streams.connect_all()

# Subscribe to market data
token_list = [3045, 1594]  # NSE tokens for RELIANCE, INFY
streams.subscribe_market_data(DataMode.QUOTE, token_list)

# Keep connection alive
import time
try:
    while True:
        time.sleep(1)
except KeyboardInterrupt:
    streams.disconnect_all()

Market Data Modes

# LTPC Mode - Last Trade Price & Change (17 bytes)
# Includes: token, ltp, close, net_change, change_flag
streams.subscribe_market_data(DataMode.LTPC, [3045])

# Quote Mode - Detailed quotes (93 bytes)
# Includes: LTPC + volume, OHLC, OI, buy/sell quantities, timestamps
streams.subscribe_market_data(DataMode.QUOTE, [3045])

# Full Mode - Complete market depth (241 bytes)
# Includes: Quote + upper/lower limits, 5 levels of bids/asks
streams.subscribe_market_data(DataMode.FULL, [3045])

# Unsubscribe from tokens
streams.unsubscribe_market_data(DataMode.LTPC, [3045])

Market Tick Data Structure

# MarketTick attributes
tick.token           # Instrument token
tick.ltp             # Last traded price
tick.mode            # Data mode (ltpc/quote/full)

# Price data
tick.open            # Open price
tick.high            # High price
tick.low             # Low price
tick.close           # Close price
tick.volume          # Volume

# Change calculations
tick.net_change      # Percentage change
tick.change_flag     # 43(+), 45(-), 32(no change)

# Quote data
tick.ltq             # Last traded quantity
tick.avg_price       # Average price
tick.total_buy_quantity
tick.total_sell_quantity

# Time and OI
tick.ltt             # Last trade time
tick.time            # Timestamp
tick.oi              # Open interest
tick.oi_day_high     # OI day high
tick.oi_day_low      # OI day low

# Limits and depth (Full mode only)
tick.upper_limit
tick.lower_limit
tick.bids            # List of 5 bid levels
tick.asks            # List of 5 ask levels

💹 Advanced Trading Features

Order Modification

# Modify existing order
message = client.modify_order(
    order_id=order_id,
    exchange=Exchange.NSE,
    quantity=2,  # Changed quantity
    symbol="RELIANCE",
    price=1500.0,  # New price
    disclosed_qty=0,
    product=ProductType.CNC,
    transaction_type=TransactionType.BUY,
    order_type=OrderType.LIMIT,
    validity=Retention.DAY,
    remarks="Modified order"
)
print(message)

Cancel Orders

# Cancel single order
message = client.cancel_order(order_id="order_id_here")
print(message)

# Cancel all open orders (bulk cancel with threading)
results = client.cancel_all_orders()
for order_id, status, result in results:
    print(f"Order {order_id}: {status} - {result}")

Margin Calculation

# Calculate margin for single order
margin_info = client.order_margin(
    exchange=Exchange.NSE,
    symbol="RELIANCE-EQ",
    quantity=100,
    product=ProductType.CNC,
    order_type=OrderType.LIMIT,
    transaction_type=TransactionType.BUY,
    price=1500.0,
    include_positions=False
)
print(f"Required margin: {margin_info}")

# Calculate basket margin for multiple orders
orders = [
    {
        "exchange": "NSE",
        "symbol": "RELIANCE-EQ",
        "quantity": "100",
        "product": ProductType.CNC,
        "order": OrderType.LIMIT,
        "transactionType": TransactionType.BUY,
        "price": "1500.00",
    },
    {
        "exchange": "NSE",
        "symbol": "INFY-EQ",
        "quantity": "50",
        "product": ProductType.CNC,
        "order": OrderType.LIMIT,
        "transactionType": TransactionType.BUY,
        "price": "1500.00",
    }
]
basket_margin = client.basket_margin(orders, include_positions=False)
print(f"Basket margin: {basket_margin}")

📊 Market Data & Analytics

Historical Candle Data

from pyarrow import Exchange

# Get historical candle data
candles = client.candle_data(
    exchange=Exchange.NSE,
    token="3045",  # RELIANCE token
    interval="5min",  # Options: min, 3min, 5min, 15min, 30min, hour, day
    from_timestamp="2024-01-01T09:15:00",
    to_timestamp="2024-01-01T15:30:00",
    oi=False
)
print(f"Candle data: {candles}")

Quote Data

from pyarrow import QuoteMode, Exchange

# Single Instrument Quotes

# LTP Mode - Get last traded price
quote = client.get_quote(QuoteMode.LTP, "RELIANCE-EQ", Exchange.NSE)
print(f"LTP Quote: {quote}")

# OHLCV Mode - Get OHLC and volume data
quote = client.get_quote(QuoteMode.OHLCV, "RELIANCE-EQ", Exchange.NSE)
print(f"OHLCV Quote: {quote}")

# FULL Mode - Get complete market depth
quote = client.get_quote(QuoteMode.FULL, "RELIANCE-EQ", Exchange.NSE)
print(f"Full Quote: {quote}")


# Multiple Instrument Quotes

# LTP Mode for multiple symbols
quotes = client.get_quotes(
    QuoteMode.LTP, 
    symbols=[("RELIANCE-EQ", Exchange.NSE), ("IDEA-EQ", Exchange.BSE)]
)
print(f"Multiple LTP Quotes: {quotes}")

# OHLCV Mode for multiple symbols
quotes = client.get_quotes(
    QuoteMode.OHLCV,
    symbols=[("RELIANCE-EQ", Exchange.NSE), ("IDEA-EQ", Exchange.BSE)]
)
print(f"Multiple OHLCV Quotes: {quotes}")

# FULL Mode for multiple symbols
quotes = client.get_quotes(
    QuoteMode.FULL,
    symbols=[("RELIANCE-EQ", Exchange.NSE), ("IDEA-EQ", Exchange.BSE)]
)
print(f"Multiple Full Quotes: {quotes}")

Instruments & Market Info

# Get all tradable instruments
instruments = client.get_instruments()

# Get option chain symbols
option_symbols = client.get_option_chain_symbols()

# Get option chain data (method signature exists but not implemented)
# option_chain = client.get_option_chain(params)

# Get market holidays
holidays = client.get_holidays()

# Get index listings
indices = client.get_index_list()

# Get user limits (margin, available funds)
limits = client.get_user_limits()

# Get user details
user_details = client.get_user_details()

🔍 API Reference

ArrowClient Methods

Method Description Returns
login(request_token, api_secret) Authenticate using request token Dict[str, str]
auto_login(user_id, password, api_secret, totp_secret) Automated login with credentials Dict[str, str]
login_url() Get login URL for manual authentication str
set_token(token) Set access token manually None
get_token() Get current access token str
invalidate_session() Clear current session token None
place_order(**params) Place new order str (order_id)
modify_order(order_id, **params) Modify existing order str (message)
cancel_order(order_id) Cancel single order str (message)
cancel_all_orders() Cancel all open/pending orders List[Tuple]
get_order_details(order_id) Get specific order details List[Dict]
get_order_book() Get all user orders List[Dict]
get_trade_book() Get all user trades List[Dict]
get_positions() Get user positions List[Dict]
get_holdings() Get user holdings Dict
get_user_details() Get user profile Dict
get_user_limits() Get user margin limits List[Dict]
order_margin(**params) Calculate single order margin Dict
basket_margin(orders, include_positions) Calculate basket margin Dict
candle_data(**params) Get historical candle data Dict
get_quote(mode, symbol, exchange) Get single instrument quote Dict
get_quotes(mode, symbols) Get multiple instrument quotes List[Dict]
get_instruments() Get all tradable instruments Any
get_holidays() Get market holidays Dict
get_index_list() Get index listings List[Dict]
get_option_chain_symbols() Get option chain symbols Any
get_expiry_dates(symbol, year) Get expiry dates (static method) Any

ArrowStreams Methods

Method Description Returns
connect_order_stream() Connect to order updates None
connect_data_stream() Connect to market data None
connect_all() Connect to both streams None
disconnect_all() Disconnect from both streams None
subscribe_market_data(mode, tokens) Subscribe to market data None
unsubscribe_market_data(mode, tokens) Unsubscribe from market data None
get_status() Get connection status Dict[str, str]

WebSocket Events

Event Trigger Parameters
on_connect Connection established None
on_disconnect Connection lost None
on_ticks Market data received MarketTick
on_order_update Order status changed Dict
on_error Error occurred error: Exception
on_close Connection closed close_status_code: int, close_msg: str
on_reconnect Reconnection attempt attempt: int, delay: int
on_no_reconnect Max reconnection attempts reached None

Constants

from pyarrow import (
    Exchange,          # NSE, BSE, NFO, BFO, MCX, etc.
    OrderType,         # MKT for Market, LMT for Limit, SL-LMT for Stoploss Limit, SL-MKT for Stoploss Market
    ProductType,       # MIS for Intraday, CNC for Cash and Carry, NRML for Normal
    TransactionType,   # B for Buy, S for Sell
    Variety,           # REGULAR, COVER
    Retention,         # DAY, IOC
    QuoteMode,         # LTP, OHLCV, FULL
    DataMode,          # LTPC, QUOTE, FULL
)

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

# Clone repository
git clone https://github.com/arrow-trade/pyarrow-client.git
cd pyarrow-client

# Install dependencies
pip install -r requirements.txt

# Run tests
pytest tests/

📄 License

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


📞 Support


⚠️ Disclaimer

Trading in financial markets involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Please trade responsibly and consult with financial advisors before making investment decisions.


Built with ❤️ by the Arrow Trading Team

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyarrow_client-1.1.6.tar.gz (23.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyarrow_client-1.1.6-py3-none-any.whl (20.0 kB view details)

Uploaded Python 3

File details

Details for the file pyarrow_client-1.1.6.tar.gz.

File metadata

  • Download URL: pyarrow_client-1.1.6.tar.gz
  • Upload date:
  • Size: 23.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for pyarrow_client-1.1.6.tar.gz
Algorithm Hash digest
SHA256 5ac9e72efb64f9076a3e9eb67cd52460d364db8ea7009fdc7e5ebd0a736ad501
MD5 83db3f802b902100b845a41581d73a5c
BLAKE2b-256 c104559220fc1a99617fe2fcb90cbd242dc9f42e7f7fd60027b41337f0c44288

See more details on using hashes here.

File details

Details for the file pyarrow_client-1.1.6-py3-none-any.whl.

File metadata

  • Download URL: pyarrow_client-1.1.6-py3-none-any.whl
  • Upload date:
  • Size: 20.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for pyarrow_client-1.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 869a7e8798b6726aaef3283406bc9eaaec302891dad80dfc5c4f7a36248367b3
MD5 c42abd5657ce54896a3726adfb66ae2f
BLAKE2b-256 3989db40b327a783aac9f4cfb6598819eaacdaff711c759c408de3a63034659d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page