piker/README.rst

piker

trading gear for hackers.

piker is a broker agnostic, next-gen FOSS toolset for real-time computational trading targeted at hardcore Linux users .

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

• latest python for glue
• 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:

• 100% federated: your code, your hardware, your data feeds, your broker fills.
• zero web: low latency, native software that doesn't try to re-invent the OS
• maximal privacy: prevent brokers and mms from knowing your planz; smack their spreads with dark volume.
• zero clutter: modal, context oriented UIs that echew minimalism, reduce thought noise and encourage un-emotion.
• first class parallelism: built from the ground up on next-gen structured concurrency primitives.
• traders first: broker/exchange/asset-class agnostic
• systems grounded: real-time financial signal processing that will make any queuing or DSP eng juice their shorts.
• non-tina UX: sleek, powerful keyboard driven interaction with expected use in tiling wms
• data collaboration: every process and protocol is multi-host scalable.
• fight club ready: zero interest in adoption by suits; 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; join the cause.

install

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

for a development install:

git clone git@github.com:pikers/piker.git
cd piker
virtualenv env
source ./env/bin/activate
pip install -r requirements.txt -e .

install for tinas

for windows peeps you can start by installing all the prerequisite software: install git with all default settings - https://git-scm.com/download/win install visual studio code default settings - select default profile for terminal as "cmd" (command prompt) - https://code.visualstudio.com/download install anaconda all default settings - https://www.anaconda.com/products/individual install microsoft build tools (check the box for Desktop development for C++) - https://visualstudio.microsoft.com/visual-cpp-build-tools/

then, crack a conda shell and run the following commands:

mkdir code # create code directory
cd code # change directory to code
pwd # shows present working directory, should show code inside default user folder
git clone https://github.com/pikers/piker.git # downloads piker installation package from github
cd piker # change directory to piker

conda create -n py39 # creates conda environment named py39
conda activate py39 # activates py39
conda install -c conda-forge python-levenshtein # in case it is not already installed
conda install pip # may already be installed
pip # will show if pip is installed

pip install -e . -r requirements.txt # install piker in editable mode
piker -b kraken -b binance chart btcusdt.binance # command to load chart for test

potential errors: - FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\user\AppData\Roaming\piker\brokers.toml' - navigate to file directory above (may be different on your machine, location should be listed in the error) - create folder and copy and paste file or create a blank file using notepad --> 'C:\Users\user\code\data/brokers.toml'

now that piker is installed we can set up vscode as the default terminal for running piker and editing the code. within vscode you are going to want cmd.exe as your default terminal.

in order to look coolio in front of all ur tina friends (and maybe want to help us with testin, hackzing or configgin), install vscode and setup a coolio tiled wm console so you can start living the life of the tech literate..

provider support

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

• IB via ib_insync
• binance and kraken for crypto over their public websocket API
• questrade (ish) which comes with effectively free L1

coming soon...

• webull via the reverse engineered public API
• yahoo via yliveticker

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:

piker -l info -b kraken -b binance chart btcusdt.binance --pdb

this runs the main chart (currently with 1m sampled OHLC) in in debug mode and you can practice paper trading using the following micro-manual:

order_mode (

edge triggered activation by any of the following keys, mouse-click on y-level to submit at that price ):

• f/ ctl-f to stage buy
• d/ ctl-d to stage sell
• a to stage alert

search_mode (

ctl-l or ctl-space to open, ctl-c or ctl-space to close ) :

• begin typing to have symbol search automatically lookup symbols from all loaded backend (broker) providers
• arrow keys and mouse click to navigate selection
• vi-like ctl-[hjkl] for navigation

you can also configure your position allocation limits from the sidepane.

run in distributed mode

start the service manager and data feed daemon in the background and connect to it:

pikerd -l info --pdb

connect your chart:

piker -l info -b kraken -b binance chart xmrusdt.binance --pdb

enjoy persistent real-time data feeds tied to daemon lifetime. the next time you spawn a chart it will load much faster since the data feed has been cached and is now always running live in the background until you kill pikerd.

if anyone asks you what this project is about

you don't talk about it.

how do i get involved?

enter the matrix.

how come there ain't that many docs

suck it up, learn the code; no one is trying to sell you on anything. also, we need lotsa help so if you want to start somewhere and can't necessarily write serious code, this might be the place for you!