Algorithmic Trading & Quantitative Analysis Using Python
What you'll learn
- Algorithmic trading and quantitative analysis using python
- Carrying out both technical analysis and fundamental analysis programatically
- API trading
Requirements
- Intermediate level expertise in python
- high school level familiarity with mathematics and statistics
- Basic understanding of equity/forex trading
Description
Build a fully automated trading bot on a shoestring budget. Learn quantitative analysis of financial data using python. Automate steps like extracting data, performing technical and fundamental analysis, generating signals, backtesting, API integration etc. You will learn how to code and back test trading strategies using python. The course will also give an introduction to relevant python libraries required to perform quantitative analysis. The USP of this course is delving into API trading and familiarizing students with how to fully automate their trading strategies.
You can expect to gain the following skills from this course
Extracting daily and intraday data for free using APIs and web-scraping
Working with JSON data
Incorporating technical indicators using python
Performing thorough quantitative analysis of fundamental data
Value investing using quantitative methods
Visualization of time series data
Measuring the performance of your trading strategies
Incorporating and backtesting your strategies using python
API integration of your trading script
FXCM and OANDA API
Sentiment Analysis
Who this course is for:
- traders looking to automate strategies and building automated trading stations, data scientists seeking to work with financial data, anyone curious about quantitative analysis
Featured review
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Course content
- Preview04:31
- Preview01:57
- Preview01:39
- Preview02:42
- Preview02:27
- 03:36Anaconda Distribution Intro
- 09:58Creating Virtual Environment (Optional)
Instructor
- 4.6 Instructor Rating
- 4,435 Reviews
- 29,500 Students
- 7 Courses
I have authored and published bestselling courses and books on finance and technology. I have a passion for simplifying seemingly complex topics such as algorithmic trading, machine learning, artificial intelligence and make them accessible to students with no technology/finance background.
I have more than a decade of experience working with global investment banks in the quantitative analysis/risk management areas. My work experience has made me a firm believer in taking data driven decisions while always being mindful of the qualitative aspects of my job.
I did my undergraduate education in engineering and earned MBA and MFE degrees. I see myself as a life long learner and I deeply cherish the opportunity of sharing my knowledge with others.