The official Python client library for the Kite Connect trading APIs
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README.md

The Kite Connect API Python client - v3

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The official Python client for communicating with the Kite Connect API.

Kite Connect is a set of REST-like APIs that expose many capabilities required to build a complete investment and trading platform. Execute orders in real time, manage user portfolio, stream live market data (WebSockets), and more, with the simple HTTP API collection.

Zerodha Technology (c) 2018. Licensed under the MIT License.

Documentation

Installing the client

You can install the pre release via pip

pip install --upgrade kiteconnect

Its recommended to update setuptools to latest if you are facing any issue while installing

pip install -U pip setuptools

Since some of the dependencies uses C extensions it has to compiled before installing the package.

Linux, BSD and macOS

  • On Linux, and BSDs, you will need a C compiler (such as GCC).

Debian/Ubuntu

apt-get install libffi-dev python-dev python3-dev

Centos/RHEL/Fedora

yum install libffi-devel python3-devel python-devel

macOS/OSx

xcode-select --install

Microsoft Windows

Each Python version uses a specific compiler version (e.g. CPython 2.7 uses Visual C++ 9.0, CPython 3.3 uses Visual C++ 10.0, etc). So, you need to install the compiler version that corresponds to your Python version

For more details check official Python documentation.

API usage

import logging
from kiteconnect import KiteConnect

logging.basicConfig(level=logging.DEBUG)

kite = KiteConnect(api_key="your_api_key")

# Redirect the user to the login url obtained
# from kite.login_url(), and receive the request_token
# from the registered redirect url after the login flow.
# Once you have the request_token, obtain the access_token
# as follows.

data = kite.generate_session("request_token_here", api_secret="your_secret")
kite.set_access_token(data["access_token"])

# Place an order
try:
    order_id = kite.place_order(tradingsymbol="INFY",
                                exchange=kite.EXCHANGE_NSE,
                                transaction_type=kite.TRANSACTION_TYPE_BUY,
                                quantity=1,
                                order_type=kite.ORDER_TYPE_MARKET,
                                product=kite.PRODUCT_NRML)

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

# Fetch all orders
kite.orders()

# Get instruments
kite.instruments()

# Place an mutual fund order
kite.place_mf_order(
    tradingsymbol="INF090I01239",
    transaction_type=kite.TRANSACTION_TYPE_BUY,
    amount=5000,
    tag="mytag"
)

# Cancel a mutual fund order
kite.cancel_mf_order(order_id="order_id")

# Get mutual fund instruments
kite.mf_instruments()

Refer to the Python client documentation for the complete list of supported methods.

WebSocket usage

import logging
from kiteconnect import KiteTicker

logging.basicConfig(level=logging.DEBUG)

# Initialise
kws = KiteTicker("your_api_key", "your_access_token")

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

def on_connect(ws, response):
    # Callback on successful connect.
    # Subscribe to a list of instrument_tokens (RELIANCE and ACC here).
    ws.subscribe([738561, 5633])

    # Set RELIANCE to tick in `full` mode.
    ws.set_mode(ws.MODE_FULL, [738561])

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

# Assign the callbacks.
kws.on_ticks = on_ticks
kws.on_connect = on_connect
kws.on_close = on_close

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

Run unit tests

python setup.py test

or

pytest -s tests/unit --cov-report html:cov_html --cov=./

Run integration tests

pytest -s tests/integration/ --cov-report html:cov_html --cov=./  --api-key api_key --access-token access_token

Generate documentation

pip install pdoc

pdoc --html --html-dir docs kiteconnect

Changelog

Check CHANGELOG.md