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SMARTAPI-PYTHON

SMARTAPI-PYTHON is a Python library for dealing AMX,that is a set of REST-like HTTP APIs that expose many capabilities required to build stock market investment and trading platforms. It lets you execute orders in real time.

Installation

Use the package manager pip to install smartapi-python.

pip install smartapi-python

Usage

# package import statement
from smartapi import SmartConnect #or from smartapi.smartConnect import SmartConnect
#import smartapi.smartExceptions(for smartExceptions)

#create object of call
obj=SmartConnect(api_key="your api key")

#login api call

data = obj.generateSession("Your Client ID","Your Password")
refreshToken= data['data']['refreshToken']

#fetch the feedtoken
feedToken=obj.getfeedToken()

#fetch User Profile
userProfile= obj.getProfile(refreshToken)
#place order
try:
    orderparams = {
        "variety": "NORMAL",
        "tradingsymbol": "SBIN-EQ",
        "symboltoken": "3045",
        "transactiontype": "BUY",
        "exchange": "NSE",
        "ordertype": "LIMIT",
        "producttype": "INTRADAY",
        "duration": "DAY",
        "price": "19500",
        "squareoff": "0",
        "stoploss": "0",
        "quantity": "1"
        }
    orderId=obj.placeOrder(orderparams)
    print("The order id is: {}".format(orderId))
except Exception as e:
    print("Order placement failed: {}".format(e.message))

#logout
try:
    logout=obj.terminateSession('Your Client Id')
    print("Logout Successfull")
except Exception as e:
    print("Logout failed: {}".format(e.message))

## WebSocket
from smartapi import WebSocket 
FEED_TOKEN= "your feed token"
CLIENT_CODE="your client Id"
token="channel you want the information of" #"nse_cm|2885&nse_cm|1594&nse_cm|11536"

ss = WebSocket(FEED_TOKEN, CLIENT_CODE)

def on_tick(ws, tick):
    print("Ticks: {}".format(tick))

def on_connect(ws, response):
    ws.send_request(token)

def on_close(ws, code, reason):
    ws.stop()

# Assign the callbacks.
ss.on_ticks = on_tick
ss.on_connect = on_connect
ss.on_close = on_close

ss.connect( )



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  • Python 100.0%