the FOSS computational trading platform (for non-tinas..) https://github.com/pikers/piker

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Tyler Goodlet 9d8a867767 Bar graphics update speed improvements Use two separate `QPicture` instances: - one for the 3 lines for the last bar - one for all the historical bars lines On price changes update the last bar and only update historical bars when the current bar's period expires (when a new bar is "added"). Add a flag `just_history` for this `BarItems.draw_lines()`. Also, switch the internal lines array/buffer to a 2D numpy array to avoid the type-cast step and instead just flatten using `numpy.ravel()`. Overall this should avoid the problem of draws getting slower over time as new bars are added to the history since price updates only redraw a single bar to the "last" `QPicture` instance. Ideally in the future we can make the `history` `QPicture` a `QPixmap` but it looks like this will require some internal work in `pyqtgraph` to support it.		2020-10-02 12:13:28 -04:00
.github/workflows	Add github actions CI; thanks @guilledk!	2020-10-02 10:40:25 -04:00
piker	Bar graphics update speed improvements	2020-10-02 12:13:28 -04:00
tests	Create a blank config if none exists	2019-03-18 00:04:34 -04:00
.gitignore	Initial commit	2018-01-15 22:58:02 -05:00
.travis.yml	Deploy flag is no longer supported I guess?	2019-03-17 23:09:08 -04:00
LICENSE	Relicense to AGPLv3	2020-06-16 00:12:19 -04:00
MANIFEST.in	Extend install docs	2018-02-15 13:33:53 -05:00
README.rst	Kill pipenv	2020-10-02 12:13:28 -04:00
requirements.txt	Switch to asyncio support branch in tractor	2020-10-02 10:40:50 -04:00
setup.py	Add a couple more deps	2020-10-02 12:13:28 -04:00

README.rst

piker

trading gear for hackers.

piker is an attempt at a pro-grade, broker agnostic, next-gen FOSS toolset for real-time trading and financial analysis targetted at hardcore Linux users.

it tries to use as much bleeding edge tech as possible including (but not limited to):

latest Python for glue and business logic
trio for structured concurrency
tractor for distributed, multi-core, real-time streaming
marketstore for historical and real-time tick data persistence and sharing
techtonicdb for L2 book storage
Qt for pristine high performance UIs
pyqtgraph for real-time charting
numpy and numba for fast numerics

Focus and Features:

zero web
zero pump
zero "backtesting" (aka yabf)
zero "cloud"
100% federated: your code, your hardware, your broker's data feeds
privacy
broker/exchange agnostic
built on a structured concurrent actor model
production grade, highly attractive native UIs
expected to be used from tiling wms
sophisticated rt charting
emphasis on collaboration through UI and data sharing
zero interest in adoption by suits
not built for sale; built for people
no corporate friendly license, ever.

fitting with these tenets, we're always open to new framework suggestions and ideas.

building the best looking, most reliable, keyboard friendly trading platform is the dream. feel free to pipe in with your ideas and quiffs.

Install

piker is currently under heavy pre-alpha development and as such should be cloned from this repo and hacked on directly.

A couple bleeding edge components are being used atm pertaining to new components within trio.

For a development install:

git clone git@github.com:pikers/piker.git
cd piker
pip install -e .

Broker Support

For live data feeds the in-progress set of supported brokers is:

Questrade which comes with effectively free L1
IB via ib_insync
Webull via the reverse engineered public API
Kraken for crypto over their public websocket API

If you want your broker supported and they have an API let us know.

Check out our charts

bet you weren't expecting this from the foss bby:

piker chart -b kraken XBTUSD

If anyone asks you what this project is about

tell them it's a broken crypto trading platform that doesn't scale.

How do i get involved?

coming soon.