Create an Interactive Stock Graph Using Bokeh an Pandas
$8-15 CAD / hour
Closed
Posted over 6 years ago
$8-15 CAD / hour
I'm betting on lots of games on a daily basis and want to depict the bankroll (wallet) like a stock graph. The graph shall provide similar visualization as this: [login to view URL]
You'll be provided with a data set comprised of games.
Each game is a row with gameID, date(DD-MM-YYYY) , risk $, return $.
Each game profit = return - risk.
The profit gets added to the bankroll which is initiated in the class.
Including quick chart, resolution drop down, horizon drop down.
horizontal axes is either temporal (week,month, quarter, year) or instance based (game).
vertical axes is $.
Start and end date which allow calendar selection and optionally are limited to dates available only.
On the left side of chart, html widget with the graph period ROI (return on investment in %), the net profit (in $) , volatility of ROI for period (stdev of ROI in %)
Must be written in python(2.7), bokeh (0.12.3), and pandas (0.21).
Output is an HTML available from bokeh, probably with a link to the bokeh server address.
Code for bokeh server, if required, is needed to complete project.
Object oriented programming practices with inline comments in English.
Also, follow standard python method documentation practices.
Expert python developer with experience of over 100 projects and masters in Data science. I have more than 5 years of experience in Python and Javascript. Contact me to discuss this further. Thanks
Hello
I read through the job details extremely carefully and I am absolutely sure that I can do the project very well. I would love to work on your project and I'm confident that I can give the result and exceed your expectations.
I have worked on similar projects to what you are looking for. And I'm confident that I can complete your project on time and within your budget. I can achieve the results that you are asking for. Thank you
Knowledge of Machine Learning frameworks like Scikit-Learn and Spark-ML as well as specialised frameworks like NLTK, SpaCy, TextBlob. Work experience of 1.5 years in the field of Data Science & Machine Learning as well as 1.5 years of website scraping. Currently working as a Data Science Developer where I write codes using Python and Scala.
Have developed a real-time Speaker Recognition System working over Skype for a Vodafone Sponsored Project back in 2011. Currently involved in developing AI chatbots and Sentiment Analyzers using TextBlob and Tensorflow, as well as a real-time stock streaming api using Scala and Akka Framework.