Python Algo Trading Infrastructure with Crypto Currency

(Last Updated On: October 23, 2018) 

Billing

Python Version 3

Python 3 Infrastructure Blocks with Crypto

As Bitcoin ruled the financial news cycle in recent times, many have had a peak interest in crypto currency along with systematic trading. There are many advanced trading research techniques including machine learning, AI, or quant.
This course was created for the ‘newbie’ who has a basic understanding in popular programming languages but easy to learn such as Python. A focus of technical analysis was chosen since it is popular among retail traders. It is also seems to offer more predictable results as opposed to harder to learn concepts such as quant or machine learning. In essence, a simpler with more effective techniques were purposely chosen to get someone with basic programming knowledge (eg. Python) to get ramped up faster!

Price: $497.00
Price: $497.00

Python Version 2

Python Trading Infrastructure Building Blocks Single

Python C++ Trading Infrastructure Building Blocks

Topic units include:
Unit 1 Popular Programming Language Overview for Algos and Automated Trading
Unit 2 Why Python for my algos and automated trading
Unit 3 Setting up your Python environment
Unit 4 Why Python Introductory Programming Resources and Environment video and material
Unit 5 Intro overview of MongoDB open source NOSQL database
Unit 6 OPTIONAL Intro to Redis for highest performance in your algo trading
Unit 7 Interfacing with Interactive Brokers TWS with Python and other demos
Unit 8 Market Data Source with Yahoo Finance
Unit 9 Pretty trading charts with Matplotlib and PyQtChart
Unit 10 GUI Front End Customization with Qt Designer

Price: $497.00
Price: $247.00

Overview and benefits but see below for detail content

Intro to Python 3

Intro to Python 2

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 CoinBase.com 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 CoinMarketCap.com