Python Algo Trading Infrastructure with Crypto Currency

(Last Updated On: April 13, 2019)

NOTE that the LIVE component start Mon Jan 7! Notes of structure of LIVE class for 6 weeks


CRYPTO CURRENCY IS NOW ACCEPTED !  Get in touch to find out we can set you up via crypto payment

Python Version 3

Overview and benefits but see below for detail content

Intro to Python 3

Topics covered in topic for Python version 2 or 3.

Part 1 CryptoCurrency Algo Trading Options with Python

1. Programming Language Overview

1.1 Coverage of scripting and interpretive languages

1.2 Legacy languages for live trading

1.3 Offer the pros and cons of typical languages you will use

1.4 Show how Python is most sensible and popular open source languages

2. Python tools and methodology

2.1 Python 2 vs 3

2.2 PIP the package manager

2.3 Python install options on operating systems

2.4 Tools like popular editors/IDEs e.g. Sublime

2.5 Simple Debugging techniques

2.6 Very high level concepts of popular machine learning frameworks and Jupyter use cases

Part 2 Market Data Wrangling

3. Options to capture market database

3.1 IEX and IQFeed

3.2 LMAX and Interactive Brokers broker overview options

3.3 Oanda market data source code demo

4. How to create Pandas dataframe to manipulate data

4.1 Read a comma separated value file (CSV)

4.2 Apply statistical calculation and manipulative row

4.3 Export data to CSV or Excel format

5. Redis NOSQL Overview and Sample

5.1 Why this is used

5.2 Open source and benchmarks

5.3 Compared against popular open source HFT project

5.4 Server and client edition

5.5 Python code demos

Part 3 Technical Analysis with Charting

6. Demo technical analysis indicator examples functions with TA-Lib

6.1 Bollinger bands

6.2 Exponential moving average

6.3 Standard deviation

6.4 Relative strength indicator

7. Intro to ChartDirector for Python

7.1 How to install Mac or Linux compliant like system

7.2 Advantages over open source Python packages including Matplotlib or Seaborn

7.3 Benefit of ChartDirector

7.4 Hints of developing interactive Self Standalone chart with potential live charting

Part 4 Introducing CryptoCurrency with Python

8. Cryptocurrency Outlook and CCXT Python Package overview

8.1 Intro to to depend on volume

8.2 Reliable exchanges

8.3 Advantages of Python option vs web programming languages

8.4 Examples of CCXT Python Package

9. Funding Crypto Currency account

9.1 Different credit card option sources

9.2 Why banks block funding cryptocurrency via credit card

9.3 Round about way to fund anonymously via credit

10. Crypto Currency trading idea with forward looking data tips for your strategy idea

10.1 NVT Ratio

10.2 Futures and Options market

10.3 COT reports

10.4 Use of