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Official Python library for Alice Blue APIs

Project description

Official Python SDK for Alice Blue API

The Official Python library for communicating with the Alice Blue APIs.

Alice Blue Python library provides an easy to use wrapper over the HTTPS APIs.

The HTTP calls have been converted to methods and JSON responses are wrapped into Python-compatible objects.

Websocket connections are handled automatically within the library.

  • Author: krishnavelu
  • Unofficed is strategic partner of Alice Blue responsible for this git.
  • Alice Blue API trading is free for Unofficed members. Follow this to get API free.

Installation

This module is installed via pip:

pip install alice_blue

To force upgrade existing installations:

pip uninstall alice_blue
pip --no-cache-dir install --upgrade alice_blue

Prerequisites

Python 3.x

Also, you need the following modules:

  • protlib
  • websocket_client
  • requests
  • bs4

The modules can also be installed using pip

Getting started with API

Overview

There is only one class in the whole library: AliceBlue. The login_and_get_access_token() static method is used to retrieve an access token from the alice blue server. An access token is valid for 24 hours. With an access token, you can instantiate an AliceBlue object. Ideally you only need to create an access_token once every day. After you have the access token, you can store it separately for re-use.

REST Documentation

The original REST API that this SDK is based on is available online. Alice Blue API REST documentation

Using the API

Logging

The whole library is equipped with python's logging moduele for debugging. If more debug information is needed, enable logging using the following code.

import logging
logging.basicConfig(level=logging.DEBUG)

Get api_secret

api_secret is unique for each and every account. You need to enable api trading and get api_secret from alice blue. Please contact alice blue for getting api_secret.

Get an access token

  1. Import alice_blue
from alice_blue import *
  1. Create access_token using login_and_get_access_token() function with your username, password, 2FA and api_secret
access_token = AliceBlue.login_and_get_access_token(username='username', password='password', twoFA='a',  api_secret='api_secret')

Create AliceBlue Object

  1. Once you have your access_token, you can create an AliceBlue object with your access_token, username and password.
alice = AliceBlue(username='username', password='password', access_token=access_token)
  1. You can run commands here to check your connectivity
print(alice.get_balance()) # get balance / margin limits
print(alice.get_profile()) # get profile
print(alice.get_daywise_positions()) # get daywise positions
print(alice.get_netwise_positions()) # get netwise positions
print(alice.get_holding_positions()) # get holding positions

Get master contracts

Getting master contracts allow you to search for instruments by symbol name and place orders. Master contracts are stored as an OrderedDict by token number and by symbol name. Whenever you get a trade update, order update, or quote update, the library will check if master contracts are loaded. If they are, it will attach the instrument object directly to the update. By default all master contracts of all enabled exchanges in your personal profile will be downloaded. i.e. If your profile contains the folowing as enabled exchanges ['NSE', 'BSE', 'MCX', NFO'] all contract notes of all exchanges will be downloaded by default. If you feel it takes too much time to download all exchange, or if you don't need all exchanges to be downloaded, you can specify which exchange to download contract notes while creating the AliceBlue object.

alice = AliceBlue(username='username', password='password', access_token=access_token, master_contracts_to_download=['NSE', 'BSE'])

This will reduce a few milliseconds in object creation time of AliceBlue object.

Get tradable instruments

Symbols can be retrieved in multiple ways. Once you have the master contract loaded for an exchange, you can get an instrument in many ways.

Get a single instrument by it's name:

tatasteel_nse_eq = alice.get_instrument_by_symbol('NSE', 'TATASTEEL')
reliance_nse_eq = alice.get_instrument_by_symbol('NSE', 'RELIANCE')
ongc_bse_eq = alice.get_instrument_by_symbol('BSE', 'ONGC')
india_vix_nse_index = alice.get_instrument_by_symbol('NSE', 'India VIX')
sensex_nse_index = alice.get_instrument_by_symbol('BSE', 'SENSEX')

Get a single instrument by it's token number (generally useful only for BSE Equities):

ongc_bse_eq = alice.get_instrument_by_token('BSE', 500312)
reliance_bse_eq = alice.get_instrument_by_token('BSE', 500325)
acc_nse_eq = alice.get_instrument_by_token('NSE', 22)

Get FNO instruments easily by mentioning expiry, strike & call or put.

bn_fut = alice.get_instrument_for_fno(symbol = 'BANKNIFTY', expiry_date=datetime.date(2019, 6, 27), is_fut=True, strike=None, is_CE = False)
bn_call = alice.get_instrument_for_fno(symbol = 'BANKNIFTY', expiry_date=datetime.date(2019, 6, 27), is_fut=False, strike=30000, is_CE = True)
bn_put = alice.get_instrument_for_fno(symbol = 'BANKNIFTY', expiry_date=datetime.date(2019, 6, 27), is_fut=False, strike=30000, is_CE = False)

Search for symbols

Search for multiple instruments by matching the name. This works case insensitive and returns all instrument which has the name in its symbol.

all_sensex_scrips = alice.search_instruments('BSE', 'sEnSeX')
print(all_sensex_scrips)

The above code results multiple symbol which has 'sensex' in its symbol.

[Instrument(exchange='BSE', token=1, symbol='SENSEX', name='SENSEX', expiry=None, lot_size=None), Instrument(exchange='BSE', token=540154, symbol='IDFSENSEXE B', name='IDFC Mutual Fund', expiry=None, lot_size=None), Instrument(exchange='BSE', token=532985, symbol='KTKSENSEX B', name='KOTAK MAHINDRA MUTUAL FUND', expiry=None, lot_size=None), Instrument(exchange='BSE', token=538683, symbol='NETFSENSEX B', name='NIPPON INDIA ETF SENSEX', expiry=None, lot_size=None), Instrument(exchange='BSE', token=535276, symbol='SBISENSEX B', name='SBI MUTUAL FUND - SBI ETF SENS', expiry=None, lot_size=None)]

Search for multiple instruments by matching multiple names

multiple_underlying = ['BANKNIFTY','NIFTY','INFY','BHEL']
all_scripts = alice.search_instruments('NFO', multiple_underlying)

Instrument object

Instruments are represented by instrument objects. These are named-tuples that are created while getting the master contracts. They are used when placing an order and searching for an instrument. The structure of an instrument tuple is as follows:

Instrument = namedtuple('Instrument', ['exchange', 'token', 'symbol',
                                      'name', 'expiry', 'lot_size'])

All instruments have the fields mentioned above. Wherever a field is not applicable for an instrument (for example, equity instruments don't have strike prices), that value will be None

Quote update

Once you have master contracts loaded, you can easily subscribe to quote updates.

Four types of feed data are available

You can subscribe any one type of quote update for a given scrip. Using the LiveFeedType enum, you can specify what type of live feed you need.

  • LiveFeedType.MARKET_DATA
  • LiveFeedType.COMPACT
  • LiveFeedType.SNAPQUOTE
  • LiveFeedType.FULL_SNAPQUOTE

Please refer to the original documentation here for more details of different types of quote update.

Subscribe to a live feed

alice.subscribe(alice.get_instrument_by_symbol('NSE', 'TATASTEEL'), LiveFeedType.MARKET_DATA)
alice.subscribe(alice.get_instrument_by_symbol('BSE', 'RELIANCE'), LiveFeedType.COMPACT)

Subscribe to multiple instruments in a single call. Give an array of instruments to be subscribed.

alice.subscribe([alice.get_instrument_by_symbol('NSE', 'TATASTEEL'), alice.get_instrument_by_symbol('NSE', 'ACC')], LiveFeedType.MARKET_DATA)

Note: There is a limit of 250 scrips that can be subscribed on total. Beyond this point the server may disconnect web-socket connection.

Start getting live feed via socket

socket_opened = False
def event_handler_quote_update(message):
    print(f"quote update {message}")

def open_callback():
    global socket_opened
    socket_opened = True

alice.start_websocket(subscribe_callback=event_handler_quote_update,
                      socket_open_callback=open_callback,
                      run_in_background=True)
while(socket_opened==False):
    pass
alice.subscribe(alice.get_instrument_by_symbol('NSE', 'ONGC'), LiveFeedType.MARKET_DATA)
sleep(10)

Unsubscribe to a live feed

Unsubscribe to an existing live feed

alice.unsubscribe(alice.get_instrument_by_symbol('NSE', 'TATASTEEL'), LiveFeedType.MARKET_DATA)
alice.unsubscribe(alice.get_instrument_by_symbol('BSE', 'RELIANCE'), LiveFeedType.COMPACT)

Unsubscribe to multiple instruments in a single call. Give an array of instruments to be unsubscribed.

alice.unsubscribe([alice.get_instrument_by_symbol('NSE', 'TATASTEEL'), alice.get_instrument_by_symbol('NSE', 'ACC')], LiveFeedType.MARKET_DATA)

Get All Subscribed Symbols

alice.get_all_subscriptions() # All

Market Status messages & Exchange messages.

Subscribe to market status messages

alice.subscribe_market_status_messages()

Getting market status messages.

print(alice.get_market_status_messages())

Example result of get_market_status_messages()

[{'exchange': 'NSE', 'length_of_market_type': 6, 'market_type': b'NORMAL', 'length_of_status': 31, 'status': b'The Closing Session has closed.'}, {'exchange': 'NFO', 'length_of_market_type': 6, 'market_type': b'NORMAL', 'length_of_status': 45, 'status': b'The Normal market has closed for 22 MAY 2020.'}, {'exchange': 'CDS', 'length_of_market_type': 6, 'market_type': b'NORMAL', 'length_of_status': 45, 'status': b'The Normal market has closed for 22 MAY 2020.'}, {'exchange': 'BSE', 'length_of_market_type': 13, 'market_type': b'OTHER SESSION', 'length_of_status': 0, 'status': b''}]

Note: As per alice blue documention all market status messages should be having a timestamp. But in actual the server does't send timestamp, so the library is unable to get timestamp for now.

Subscribe to exchange messages

alice.subscribe_exchange_messages()

Getting market status messages.

print(alice.get_exchange_messages())

Example result of get_exchange_messages()

[{'exchange': 'NSE', 'length': 32, 'message': b'DS : Bulk upload can be started.', 'exchange_time_stamp': 1590148595}, {'exchange': 'NFO', 'length': 200, 'message': b'MARKET WIDE LIMIT FOR VEDL IS 183919959. OPEN POSITIONS IN VEDL HAVE REACHED 84 PERCENT OF THE MARKET WIDE LIMIT.                                                                                       ', 'exchange_time_stamp': 1590146132}, {'exchange': 'CDS', 'length': 54, 'message': b'DS : Regular segment Bhav copy broadcast successfully.', 'exchange_time_stamp': 1590148932}, {'exchange': 'MCX', 'length': 7, 'message': b'.......', 'exchange_time_stamp': 1590196159}]

Market Status messages & Exchange messages through callbacks

socket_opened = False
def market_status_messages(message):
    print(f"market status messages {message}")

def exchange_messages(message):
    print(f"exchange messages {message}")

def open_callback():
    global socket_opened
    socket_opened = True

alice.start_websocket(market_status_messages_callback=market_status_messages,
					  exchange_messages_callback=exchange_messages,
                      socket_open_callback=open_callback,
                      run_in_background=True)
while(socket_opened==False):
    pass
alice.subscribe_market_status_messages()
alice.subscribe_exchange_messages()
sleep(10)

Place an order

Place limit, market, SL, SL-M, AMO, BO, CO orders

print (alice.get_profile())

# TransactionType.Buy, OrderType.Market, ProductType.Delivery

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%1%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.Market,
                     product_type = ProductType.Delivery,
                     price = 0.0,
                     trigger_price = None,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
   )

# TransactionType.Buy, OrderType.Market, ProductType.Intraday

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%2%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.Market,
                     product_type = ProductType.Intraday,
                     price = 0.0,
                     trigger_price = None,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)

# TransactionType.Buy, OrderType.Market, ProductType.CoverOrder

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%3%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.Market,
                     product_type = ProductType.CoverOrder,
                     price = 0.0,
                     trigger_price = 7.5, # trigger_price Here the trigger_price is taken as stop loss (provide stop loss in actual amount)
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)


# TransactionType.Buy, OrderType.Limit, ProductType.BracketOrder
# OCO Order can't be of type market

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%4%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.Limit,
                     product_type = ProductType.BracketOrder,
                     price = 8.0,
                     trigger_price = None,
                     stop_loss = 6.0,
                     square_off = 10.0,
                     trailing_sl = None,
                     is_amo = False)
)

# TransactionType.Buy, OrderType.Limit, ProductType.Intraday

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%5%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.Limit,
                     product_type = ProductType.Intraday,
                     price = 8.0,
                     trigger_price = None,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)


# TransactionType.Buy, OrderType.Limit, ProductType.CoverOrder

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%6%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.Limit,
                     product_type = ProductType.CoverOrder,
                     price = 7.0,
                     trigger_price = 6.5, # trigger_price Here the trigger_price is taken as stop loss (provide stop loss in actual amount)
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)

###############################

# TransactionType.Buy, OrderType.StopLossMarket, ProductType.Delivery

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%7%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.StopLossMarket,
                     product_type = ProductType.Delivery,
                     price = 0.0,
                     trigger_price = 8.0,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)


# TransactionType.Buy, OrderType.StopLossMarket, ProductType.Intraday

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%8%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.StopLossMarket,
                     product_type = ProductType.Intraday,
                     price = 0.0,
                     trigger_price = 8.0,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)



# TransactionType.Buy, OrderType.StopLossMarket, ProductType.CoverOrder
# CO order is of type Limit and And Market Only

# TransactionType.Buy, OrderType.StopLossMarket, ProductType.BO
# BO order is of type Limit and And Market Only

###################################

# TransactionType.Buy, OrderType.StopLossLimit, ProductType.Delivery

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%9%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.StopLossMarket,
                     product_type = ProductType.Delivery,
                     price = 8.0,
                     trigger_price = 8.0,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)


# TransactionType.Buy, OrderType.StopLossLimit, ProductType.Intraday

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%10%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.StopLossLimit,
                     product_type = ProductType.Intraday,
                     price = 8.0,
                     trigger_price = 8.0,
                     stop_loss = None,
                     square_off = None,
                     trailing_sl = None,
                     is_amo = False)
)



# TransactionType.Buy, OrderType.StopLossLimit, ProductType.CoverOrder
# CO order is of type Limit and And Market Only


# TransactionType.Buy, OrderType.StopLossLimit, ProductType.BracketOrder

print ("%%%%%%%%%%%%%%%%%%%%%%%%%%%%11%%%%%%%%%%%%%%%%%%%%%%%%%%%%%")
print(
   alice.place_order(transaction_type = TransactionType.Buy,
                     instrument = alice.get_instrument_by_symbol('NSE', 'INFY'),
                     quantity = 1,
                     order_type = OrderType.StopLossLimit,
                     product_type = ProductType.BracketOrder,
                     price = 8.0,
                     trigger_price = 8.0,
                     stop_loss = 1.0,
                     square_off = 1.0,
                     trailing_sl = 20,
                     is_amo = False)
)

Place basket order

Basket order is used to buy or sell group of securities simultaneously.

order1 = {  "instrument"        : alice.get_instrument_by_symbol('NSE', 'INFY'),
            "order_type"        : OrderType.Market,
            "quantity"          : 1,
            "transaction_type"  : TransactionType.Buy,
            "product_type"      : ProductType.Delivery}
order2 = {  "instrument"        : alice.get_instrument_by_symbol('NSE', 'SBIN'),
            "order_type"        : OrderType.Limit,
            "quantity"          : 2,
            "price"             : 280.0,
            "transaction_type"  : TransactionType.Sell,
            "product_type"      : ProductType.Intraday}
order = [order1, order2]
print(alice.place_basket_order(orders))

Cancel an order

alice.cancel_order('170713000075481') #Cancel an open order

Getting order history and trade details

Get order history of a particular order

print(alice.get_order_history('170713000075481'))

Get order history of all orders.

print(alice.get_order_history())

Get trade book

print(alice.get_trade_book())

Order properties as enums

Order properties such as TransactionType, OrderType, and others have been safely classified as enums so you don't have to write them out as strings

TransactionType

Transaction types indicate whether you want to buy or sell. Valid transaction types are of the following:

  • TransactionType.Buy - buy
  • TransactionType.Sell - sell

OrderType

Order type specifies the type of order you want to send. Valid order types include:

  • OrderType.Market - Place the order with a market price
  • OrderType.Limit - Place the order with a limit price (limit price parameter is mandatory)
  • OrderType.StopLossLimit - Place as a stop loss limit order
  • OrderType.StopLossMarket - Place as a stop loss market order

ProductType

Product types indicate the complexity of the order you want to place. Valid product types are:

  • ProductType.Intraday - Intraday order that will get squared off before market close
  • ProductType.Delivery - Delivery order that will be held with you after market close
  • ProductType.CoverOrder - Cover order
  • ProductType.BracketOrder - One cancels other order. Also known as bracket order

Example strategy using alice blue API

Here is an example moving average strategy using alice blue API. This strategy generates a buy signal when 5-EMA > 20-EMA (golden cross) or a sell signal when 5-EMA < 20-EMA (death cross).

Read this before creating an issue

Before creating an issue in this library, please follow the following steps.

  1. Search the problem you are facing is already asked by someone else. There might be some issues already there, either solved/unsolved related to your problem. Go to issues page, use is:issue as filter and search your problem. image
  2. If you feel your problem is not asked by anyone or no issues are related to your problem, then create a new issue.
  3. Describe your problem in detail while creating the issue. If you don't have time to detail/describe the problem you are facing, assume that I also won't be having time to respond to your problem.
  4. Post a sample code of the problem you are facing. If I copy paste the code directly from issue, I should be able to reproduce the problem you are facing.
  5. Before posting the sample code, test your sample code yourself once. Only sample code should be tested, no other addition should be there while you are testing.
  6. Have some print() function calls to display the values of some variables related to your problem.
  7. Post the results of print() functions also in the issue.
  8. Use the insert code feature of github to inset code and print outputs, so that the code is displyed neat. image
  9. Here is an example of what I'm expecting while you are creating an issue.

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