

Shioaji is sinopac provide the most pythonic api for trading the taiwan and global financial market. You can use your favorite Python packages such as numpy, scipy, pandas, pytorch or tensorflow to build your own trading model with intergrated the shioaji api on cross platform.
simple using pip to install
pip install shioaji
simple run with interactive mode in docker
docker run -it sinotrade/shioaji:latest
run with jupyter lab or notebook
docker run -p 8888:8888 sinotrade/shioaji:jupyter
import shioaji as sj
api = sj.Shioaji()
accounts = api.login("YOUR_PERSON_ID", "YOUR_PASSWORD")
api.activate_ca(
ca_path="/c/your/ca/path/Sinopac.pfx",
ca_passwd="YOUR_CA_PASSWORD",
person_id="Person of this Ca",
)
Just import our API library like other popular python library and new the instance to start using our API. Login your account and activate the certification then you can start placing order.
api.quote.subscribe(api.Contracts.Stocks["2330"], quote_type="tick")
api.quote.subscribe(api.Contracts.Stocks["2330"], quote_type="bidask")
api.quote.subscribe(api.Contracts.Futures["TXFC0"], quote_type="tick")
Subscribe the real time market data. Simplely pass contract into quote subscribe function and give the quote type will receive the streaming data.
contract = api.Contracts.Stocks["2890"]
order = api.Order(
price=9.6,
quantity=1,
action="Buy",
price_type="LMT",
order_type="ROD",
order_lot="Common",
account=api.stock_account,
)
# or
order = api.Order(
price=9.6,
quantity=1,
action=sj.constant.Action.Buy,
price_type=sj.constant.TFTStockPriceType.LMT,
order_type=sj.constant.TFTOrderType.ROD,
order_lot=sj.constant.TFTStockOrderLot.Common,
account=api.stock_account,
)
trade = api.place_order(contract, order)
Like the above subscribing market data using the contract, then need to define the order. Pass them into place_order function, then it will return the trade that describe the status of your order.
This quickstart demonstrates how easy to use our package for native Python users. Unlike many other trading API is hard for Python developer. We focus on making more pythonic trading API for our users.
More usage detail on document.
Shioaji has a 14 day release cycle. See the release change log. Please let us know if you encounter a bug by filing an issue.
We appreciate all suggestions. If you have any idea want us to implement, please discuss with us in gitter.
Shioaji is currently maintained by Sally, Yvictor, Sam, CC.Chiao and Po Chien Yang with major contributions.
Content type
Image
Digest
sha256:404a232d8…
Size
87.6 MB
Last updated
4 days ago
docker pull sinotrade/shioaji