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A Python SDK for Connecting to mStock Trading API and Streaming API

Project description

TradingAPI SDK - Python Client for accessing TradingAPI and Streaming Market Data

Description

mStock-TradingApi-B is a complete SDK that allows you to build a trading and investment platform which includes executing orders in real time, streaming live trade and order data (Using Websockets) and more.

Installation

You can install the python client via pip

pip install --upgrade mStock-TradingApi-B

It is recommended to update 'pip' and setuptools to the latest version if you are facing any issues during installation

pip install -U pip setuptools

API Usage

import logging
from tradingapi_b.mconnect import *

logging.basicConfig(level=logging.DEBUG)

#Object for MConnect API
mconnect_obj=MConnectB()

#Login
login_response=mconnect_obj.login("<user_id>","<password>")

#Generate access token by calling generate session
gen_response=mconnect_obj.generate_session("<API_Key>","<request_token_here>","<otp>")

#Place Order
try:
    porder_resp=mconnect_obj.place_order(_variety="NORMAL",_trading_symbol="ACC-EQ",_symboltoken="22",_exchange="NSE",_transactiontype="BUY",_ordertype="MARKET",_quantity="20",_producttype="DELIVERY",_price="0",_triggerprice="0",_squareoff="0",_stoploss="0",_trailingStopLoss="",_disclosedquantity="0",_duration="DAY",_ordertag="")
    
    logging.info("Order placed. ID is: {}".format(porder_resp["data"]["order_id"]))

except Exception as e:
    logging.info("Order placement failed: {}".format(e.message))

#Fetch all orders
mconnect_obj.get_order_book()

#Fetch all holdings
mconnect_obj.get_holdings()

#Get Net position for logged in user
mconnect_obj.get_net_position()

#Cancel All orders
mconnect_obj.cancel_all()

#Get fund Summary
mconnect_obj.get_fund_summary()

Websocket Usage

from tradingapi_b.mticker import *
import logging

logging.basicConfig(level=logging.DEBUG)

#Testing Web Socket or MTicker
m_ticker=MTicker("<API_KEY>","<ACCESS_TOKEN>","<WEB_SOCKET_URL>")


def on_ticks(ws, ticks):
    # Callback to receive ticks.
    logging.info("Ticks: {}".format(ticks))

def on_order_update(ws,data):
    #Callback to receive Order Updates
    logging.info("On Order Updates Packet received : {}".format(data))

def on_trade_update(ws,data):
    #Callback to receive Trade Updates
    logging.info("On Trade Updates Packet received : {}".format(data))

def on_connect(ws, response):
    # Callback on successful connect.
    m_ticker.send_login_after_connect()
    # Subscribe to a list of instrument_tokens 
    ws.subscribe("NSE",[5633])
    print("Connected to socket and logged in successfully")

def on_close(ws, code, reason):
    # On connection close stop the event loop.
    # Reconnection will not happen after executing `ws.stop()`
    ws.stop()

# Assign the callbacks.
m_ticker.on_ticks = on_ticks
m_ticker.on_connect = on_connect
m_ticker.on_close = on_close
m_ticker.on_order_update=on_order_update
m_ticker.on_trade_update=on_trade_update

# Infinite loop on the main thread. Nothing after this will run.
# You have to use the pre-defined callbacks to manage subscriptions.
m_ticker.connect()


logging.info('Now Closing Web socket connection')

m_ticker.close()

logging.info('Testing complete')

Running Unit Tests

This requires having pytest library pre installed. You can install the same via pip:

pip install pytest

Navigate to the unit directory and run the connect_test.py file using pytest

cd unit
pytest connect_test.py

Support

For issues, please open an issue on GitHub.

Contributing

We welcome contributions! Please follow these steps:

  1. Fork the repository
  2. Create a new branch (feature-xyz)
  3. Commit your changes
  4. Push the branch and create a pull request

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