Building Crypto & Bitcoin / Blockchain Trading Apps With Python

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Event

Building Crypto & Bitcoin / Blockchain Trading Apps with Python

26 August 2018

New York

Added 28-Sep-2018

This is an intensive full day course in building coin trading apps using Python. You will walk away with a deep understanding of the skill needed to build these apps. We'll use libraries like pandas, matplotlib and Numpy to build a trading system and analyze trade data, time series and charting. Basic programming experience is required.

Chainhaus Certificate of Completion will be provided by at the end of the course day. Breakfast will be provided.

Recent Student:

“I work as a blockchain architect. Today’s training gave me insights on how to do data analytics with Python on the blockchain. My background is in smart contract development in Solidity, JavaScript, and TypeScript. The class really helped me understand further topics and give me a deep dive into the world of Python and how to use Python libraries to analyze blockchain activities and trades.” - Lucas Henning, Deloitte Consulting LLP

What we'll accomplish:

- Build a trading system that tracks blotter & P/L

- Learn blockchain basics

- Obtain historic data using pandas, APIs

- Use basic machine learning algorithms

- Use machine learning optimization techniques

- Chart performance using matplotlib

- Time-series analytics

- Algo trading and price signals

- Bitcoin and altcoin trading via GDAX / Bittrex APIs

About the Instructor:

Professor Jamiel Sheikh has over 15 years of experience with distributed computing, application development and complex large scale entereprise solutions. Jamiel currently runs one of the largest Blockchain Meetup groups in NYC and in the US with over 3k active enthusiasts. He is CEO of Override Labs, an advisory and development firm that specializes in complex blockchain and cryptocurrency solutions, tokenomics, decentralized applications and marketing. He also runs Chainhaus, a blockchain training company. He is a graduate professor at NYU and CUNY, where he teaches performance management and data science respectively. He has an MBA from Columbia University, BBA from Baruch College and is completing an MS in Artificial Intelligence from Georgia Institute of Technology.

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