5 years of experience · English Intermediate
I am a Python developer with a background working in financial markets building and executing trading strategies for Quantopian, TradingView and zipline framework.
I am experienced with building reporting systems that automate recurrent tasks, and presenting visually appealing data.
I have extensive experience using (Python 2.7-3.7.x,conda, pipenv, virtualenv, pandas,pip,highcharts,matplotlib,zipline) and statistical analysis to build algorithms that consume and analyse data from flat files, databases and other sources including live data streams.
I have built full backtesting systems and live trading systems.
I'm interested in analysing data, automating processes, and building systems both large and small to leverage statistical relationships and report clear, presentable information.
So I have analysis of algorithmic strategies in Quantopian, TradingView and zipline framework.
Research of trading strategies in the Jupiter Notebook (Python 3.x).
5+ years of experience
OOP, functional programming
HTTP Python libraries: requests
Python packages for working with sockets:ws4py, websockets
Data visualization: plot.ly, highcharts, matplotlib, seaborn
Projects deployment: py2exe, distutils
Console GUI Application:Urwid
Data scraping: scrappy, BeautifulSoup
Web automation: Selenium
Virtual environments: Conda, pipenv, pip
Cryptocurrency Stocks API, Websocket API, (Binance, OKEX, BITMEX, BitFinex, etc.)
Linux (yum, apache, MySQL (LAMP) etc., sshd, NAT, FTP)
Development on:Raspberry Pi
SQL, MySQL, Sqlite3
HTML, CSS, JQuery, AngularJS
Mercurial, Bash, Command Prompt, GNU utilities: ( (G)AWK, sort, unique, vim, sed, wget, curl)
Version control:TortoiseSVN, TortoiseHg, git, Mercurial (preferred-working every day)
sqlite3 python development
Operate remote servers via SSH
Favorite text editor: Sublime Text,mcedit,vi(m)
Python, Linux, REST API, Git, SQL, Celery, OOP, MongoDB, Redis, Functional programming
Looking for scrapy, conda, python, REST API, TradingView, zipline framework.