f46fa99a6e
Add a default "contents label" (eg. OHLC values for bar charts) to each chart and update on crosshair interaction. Few technical changes to make this happen: - adjust bar graphics to have the HL line be in the "middle" of the underlying arrays' "index range" in the containing view. - add a label dict each chart's graphics name to a label + update routine - use symbol names instead of this "main" identifier crap for referring to particular price curves/graphics |
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.github/workflows | ||
piker | ||
tests | ||
.gitignore | ||
.travis.yml | ||
LICENSE | ||
MANIFEST.in | ||
README.rst | ||
requirements.txt | ||
setup.py |
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):
- Python 3.7+ 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
for fast numerics
Focus and Features:
- 100% federated: running your code on your hardware with your broker's data feeds, privately, is the point (this is not a web-based I don't know how to run my own system project).
- Asset class, broker, exchange agnostic.
- Built on a highly reliable structured concurrent actor model with built in async streaming and scalability protocols allowing for a distributed architecture from the ground up.
- Privacy: your orders, indicators, algos are all run client side and are shared only with the (groups of) traders you specify.
- Production grade, highly attractive native UIs that feel and fit like a proper pair of skinny jeans; only meant to be used with a proper tiling window manager (no, we are not ignorant enough to roll our own).
- Sophisticated charting capable of processing large data sets in real-time while sanely displaying complex models and strategy systems.
- Built-in support for hipstery indicators and studies that you probably haven't heard of but that the authors know generate alpha when paired with the right strategies.
- Emphasis on collaboration through sharing of data, ideas, and processing power. We will not host your code in the cloud nor ask you to participate in any lame "alpha competitions".
- Adoption is very low priority, especially if you're not an experienced trader; the system is not built for sale it is built for people.
- No, we will never have a "corporation friendly license"; if you intend to use this code base we must know about it.
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
pipenv install --pre -e .
pipenv shell
Broker Support
For live data feeds the 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 some charts
Bet you weren't expecting this from the foss:
piker chart spy.arca
It is also possible to run a specific broker's data feed as a top level micro-service daemon:
pikerd -l info -b ib
Then start the client app as normal:
piker chart -b ib ES.GLOBEX