216 lines
7.9 KiB
ReStructuredText
216 lines
7.9 KiB
ReStructuredText
piker
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-----
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trading gear for hackers.
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.. |gh_actions| image:: https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fpikers%2Fpiker%2Fbadge&style=popout-square
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:target: https://actions-badge.atrox.dev/piker/pikers/goto
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``piker`` is a broker agnostic, next-gen FOSS toolset for real-time
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computational trading targeted at `hardcore Linux users <comp_trader>`_ .
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we use as much bleeding edge tech as possible including (but not limited to):
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- latest python for glue_
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- trio_ for `structured concurrency`_
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- tractor_ for distributed, multi-core, real-time streaming
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- marketstore_ for historical and real-time tick data persistence and sharing
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- techtonicdb_ for L2 book storage
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- Qt_ for pristine high performance UIs
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- pyqtgraph_ for real-time charting
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- ``numpy`` and ``numba`` for `fast numerics`_
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.. |travis| image:: https://img.shields.io/travis/pikers/piker/master.svg
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:target: https://travis-ci.org/pikers/piker
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.. _trio: https://github.com/python-trio/trio
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.. _tractor: https://github.com/goodboy/tractor
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.. _structured concurrency: https://trio.discourse.group/
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.. _marketstore: https://github.com/alpacahq/marketstore
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.. _techtonicdb: https://github.com/0b01/tectonicdb
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.. _Qt: https://www.qt.io/
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.. _pyqtgraph: https://github.com/pyqtgraph/pyqtgraph
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.. _glue: https://numpy.org/doc/stable/user/c-info.python-as-glue.html#using-python-as-glue
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.. _fast numerics: https://zerowithdot.com/python-numpy-and-pandas-performance/
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.. _comp_trader: https://jfaleiro.wordpress.com/2019/10/09/computational-trader/
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focus and features:
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*******************
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- 100% federated: your code, your hardware, your data feeds, your broker fills.
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- zero web: low latency, native software that doesn't try to re-invent the OS
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- maximal **privacy**: prevent brokers and mms from knowing your
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planz; smack their spreads with dark volume.
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- zero clutter: modal, context oriented UIs that echew minimalism, reduce
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thought noise and encourage un-emotion.
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- first class parallelism: built from the ground up on next-gen structured concurrency
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primitives.
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- traders first: broker/exchange/asset-class agnostic
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- systems grounded: real-time financial signal processing that will
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make any queuing or DSP eng juice their shorts.
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- non-tina UX: sleek, powerful keyboard driven interaction with expected use in tiling wms
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- data collaboration: every process and protocol is multi-host scalable.
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- fight club ready: zero interest in adoption by suits; no corporate friendly license, ever.
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fitting with these tenets, we're always open to new framework suggestions and ideas.
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building the best looking, most reliable, keyboard friendly trading
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platform is the dream; join the cause.
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install
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*******
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``piker`` is currently under heavy pre-alpha development and as such
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should be cloned from this repo and hacked on directly.
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for a development install::
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git clone git@github.com:pikers/piker.git
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cd piker
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virtualenv env
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source ./env/bin/activate
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pip install -r requirements.txt -e .
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install for tinas
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*****************
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for windows peeps you can start by installing all the prerequisite software:
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- install git with all default settings - https://git-scm.com/download/win
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- install visual studio code default settings - select default profile for terminal as "cmd" (command prompt) - https://code.visualstudio.com/download
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- install anaconda all default settings - https://www.anaconda.com/products/individual
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- install microsoft build tools (check the box for Desktop development for C++) - https://visualstudio.microsoft.com/visual-cpp-build-tools/
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then, `crack a conda shell`_ and run the following commands::
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mkdir code # create code directory
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cd code # change directory to code
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pwd # shows present working directory, should show code inside default user folder
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git clone https://github.com/pikers/piker.git # downloads piker installation package from github
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cd piker # change directory to piker
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conda create -n py39 # creates conda environment named py39
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conda activate py39 # activates py39
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conda install -c conda-forge python-levenshtein # in case it is not already installed
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conda install pip # may already be installed
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pip # will show if pip is installed
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pip install -e . -r requirements.txt # install piker in editable mode
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piker -b kraken -b binance chart btcusdt.binance # command to load chart for test
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potential errors:
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FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\user\\AppData\\Roaming\\piker\\brokers.toml'
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navigate to file directory above (may be different on your machine, location should be listed in the error)
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create folder and copy and paste file or create a blank file using notepad --> 'C:\\Users\\user\\code\\data/brokers.toml'
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now that piker is installed we can set up vscode as the default terminal for running piker and editing the code.
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within vscode you are going to want cmd.exe as your default terminal.
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in order to look coolio in front of all ur tina friends (and maybe
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want to help us with testin, hackzing or configgin), install
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`vscode`_ and `setup a coolio tiled wm console`_ so you can start
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living the life of the tech literate..
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.. _conda installed: https://
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.. _C++ build toolz: https://
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.. _crack a conda shell: https://
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.. _vscode: https://
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.. link to the tina guide
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.. _setup a coolio tiled wm console: https://
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provider support
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****************
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for live data feeds the in-progress set of supported brokers is:
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- IB_ via ``ib_insync``
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- binance_ and kraken_ for crypto over their public websocket API
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- questrade_ (ish) which comes with effectively free L1
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coming soon...
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- webull_ via the reverse engineered public API
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- yahoo via yliveticker_
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if you want your broker supported and they have an API let us know.
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.. _IB: https://interactivebrokers.github.io/tws-api/index.html
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.. _questrade: https://www.questrade.com/api/documentation
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.. _kraken: https://www.kraken.com/features/api#public-market-data
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.. _binance: https://github.com/pikers/piker/pull/182
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.. _webull: https://github.com/tedchou12/webull
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.. _yliveticker: https://github.com/yahoofinancelive/yliveticker
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.. _coinbase: https://docs.pro.coinbase.com/#websocket-feed
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check out our charts
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********************
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bet you weren't expecting this from the foss::
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piker -l info -b kraken -b binance chart btcusdt.binance --pdb
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this runs the main chart (currently with 1m sampled OHLC) in in debug
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mode and you can practice paper trading using the following
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micro-manual:
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``order_mode`` (
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edge triggered activation by any of the following keys,
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``mouse-click`` on y-level to submit at that price
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):
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- ``f``/ ``ctl-f`` to stage buy
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- ``d``/ ``ctl-d`` to stage sell
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- ``a`` to stage alert
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``search_mode`` (
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``ctl-l`` or ``ctl-space`` to open,
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``ctl-c`` or ``ctl-space`` to close
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) :
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- begin typing to have symbol search automatically lookup
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symbols from all loaded backend (broker) providers
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- arrow keys and mouse click to navigate selection
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- vi-like ``ctl-[hjkl]`` for navigation
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you can also configure your position allocation limits from the
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sidepane.
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run in distributed mode
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***********************
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start the service manager and data feed daemon in the background and
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connect to it::
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pikerd -l info --pdb
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connect your chart::
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piker -l info -b kraken -b binance chart xmrusdt.binance --pdb
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enjoy persistent real-time data feeds tied to daemon lifetime. the next
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time you spawn a chart it will load much faster since the data feed has
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been cached and is now always running live in the background until you
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kill ``pikerd``.
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if anyone asks you what this project is about
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*********************************************
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you don't talk about it.
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how do i get involved?
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**********************
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enter the matrix.
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how come there ain't that many docs
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***********************************
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suck it up, learn the code; no one is trying to sell you on anything.
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also, we need lotsa help so if you want to start somewhere and can't
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necessarily write serious code, this might be the place for you!
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