Introduction

• This package is written to be used as a XTS API Client in Python.
• With the correct API credentials, User can access XTS interactive & market data.

Reference

• This is a python client package for XTS API. XTS is product from Symphony Fintech Solutions Pvt. Ltd. The original documentation for XTS Client is linked here.

• This package is a derivative work of the original package written by Symphony Fintech Solutions Pvt. Ltd.

• Link for original GitHub Repository. It takes inspirations from the original, however it differs in the implementation.

Package Structure

• To better consume the package, the user should have a clear understanding of the architecture of the package.

Here is the folder structure of the project:

└───xts_api_client
    │   interactive_socket.py
    │   interactive_socket_client.py
    │   market_data_socket.py
    │   market_data_socket_client.py
    │   py.typed
    │   xts_connect.py
    │   xts_connect_async.py
    │   xts_exception.py
    │   __init__.py
    │   
    ├───helper
        helper.py
        helper_classes.py
        __init__.py

There are two version of xts_connect. A synchronous version & an asynchronous version.

xts_connect.py

• This module is written for simple test cases & basic understanding of the API, however in practical cases, user will have to use asynchronous methods.

xts_connect_async.py

• For all intensive purposes, this module will be used only because of the nature of application.

Getting Started

• The user should have API Key, API Secret Key & the URL with Port details for using this package.
• XTS API is a REST based Trading API with Socket IO streaming component. This client makes it easier to consume the data from API into Python.
• In XTS, there are two types of API, one for trading (interactive sessions) & one for market data.

Trading API

• Trading APIs allows to integrate trading system with XTS Platform for placing orders, monitor your positions, manage your portfolio and much more.

Market Data API

• Market Data API is a mixed HTTP REST and HTTP streaming API. It provides access to live quotes data on a wide range of symbols.

A Simple Example

• Here's an example code block that loads API credentials from environment variables and uses them to log in to a MarketData API. It has been explained in subsequent steps.

import os
from dotenv import load_dotenv
load_dotenv()

API_key = os.getenv("XTS_MARKETDATA_API_KEY")
API_secret = os.getenv("XTS_MARKETDATA_SECRET_KEY")
API_source = os.getenv("XTS_SOURCE")
API_root = os.getenv("XTS_API_URL")

"""""""""""""""""""""""""""""""""""""""
      |DataFrame for Cash Market|
"""""""""""""""""""""""""""""""""""""""
from xts_api_client.xts_connect_async import XTSConnect
from xts_api_client.helper.helper import cm_master_string_to_df
import asyncio

async def main():
      xt_market_data = XTSConnect(
      apiKey = API_key,
      secretKey = API_secret,
      source = API_source,
      root = API_root
      )
      response_marketdata_login = await xt_market_data.marketdata_login()

      market_data_get_master = await xt_market_data.get_master(
      exchangeSegmentList = [xt_market_data.EXCHANGE_NSECM] # Works for BSECM as well.
      )

      print((cm_master_string_to_df(market_data_get_master['result'])))
if __name__ == "__main__":
    asyncio.run(main())
""""""""""""""""""""""""""""""""""""""""""