Skip to content
/ noba Public

Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.

License

Notifications You must be signed in to change notification settings

iniself/noba

Repository files navigation

What is Noba

Noba means not only backtrader :)

You can visit noba documentation for more information: EN(coming soon) | 中文

The core of Noba is an ioc container, through which you can create BB service, which based on Backtrader(one quantitative backtest system) and Bokeh (use bokeh as the backend, Backtrader can get richer plot effects) * BB service would like to thank backtrader_plotting and btplotting for providing the main code for using bokeh as the backend for the backtrader

from noba import core
bt =  core.make('bb')

Of course, you can also create your own services based container. Combined with Pipeline System and Event System (which can be created directly through containers), noba can enable your quantitative projects to work in a more engineering methods

from noba import core
pipline =  core.make('pipeline')
cleaned_data = pipline.via("handle").send(raw_data).through([ChangeDataType, RepeatRowData, ExceptionData, MissingData]).then(lambda raw_data:raw_data)
from noba import core
event = core.make('event')
db_event = event.hub(['read_database_complete'])
db_event.watch('read_database_complete', lambda data:..., always=True)
...
db_event.fire('read_database_complete')

More importantly, Noba can create database service objects (dber) through containers. This is a Database Abstraction Layer. Through configuration files(one json file) and unified one set of APIs, you can operate the most common databases

from noba import core
dber =  core.make('db')
stocks = db.table('daily').where('Open==3578.73').or_where('High==3652.46').set_index('Date').get_except('OpenInterest')

Getting Started

  • Python >= 3.6 is required.
  • Suggest using conda to manage virtual environments

Installation

pip install noba
# or
pip install git+https://github.com/iniself/noba

Init noba project

mkdir your_noba_project
cd your_noba_project
noba init

Preparation

Here you can do some project configuration and write your own service provider, and so on. Please refer to the NOBA documentation for details

Write strategy

vim main.py

Only give Live Mode example, about Normal Mode and Optstrategy Mode pls refer to NOBA documentation

  • Add to cerebro as an analyzer (Live Mode):

    from noba import core
      ...
      ...
    bt = core.make('bb')
    cerebro = bt.Cerebro()
    cerebro.addstrategy(MyStrategy)
    cerebro.adddata(LiveDataStream()) # Note! Data is must Live Data
    cerebro.addanalyzer(bt.analyzers.Live, force_plot_legend=True, autostart=True)
    cerebro.run()
    # cerebro.plot() # do not run this line unless your data is not real-time
  • If you need to change the default port or share the plotting to public:

    cerebro.addanalyzer(bt.analyzers.Live, address="localhost", port=8889)
  • Note! In Jupyter you can plut to a single browser tab with iplot=False:

    cerebro.plot(plot, iplot=False)

Demos

https://iniself.github.io/noba/

Contact us

Telegram Channel: Aui_Say Discord Server: Aui and Friends

Sponsoring

If you want to support the development of noba, consider to support this project.

  • ETH: 0x0275779f70179748C6fCe1Fe5D7638DfA7e3F986

About

Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages