The official Python client for the Kite Connect trading API
Project description
The Kite Connect API Python client - v3
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
- Python 2.6, 2.7, 3.0, 3.1, 3.2 - Microsoft Visual C++ 9.0
- Python 3.3, 3.4 - Microsoft Visual C++ 10.0
- Python 3.5, 3.6 - Microsoft Visual C++ 14.0
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
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