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Algorithmic Trading & Quantitative Analysis Using Python

Build fully automated trading system and Implement quantitative trading strategies using Python
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Content

Platform: Udemy
Video: 19h 38m
Language: English
Next start: On Demand

Table of contents

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

You will 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

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
Experienced Quant Researcher and Educator
​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.
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Platform: Udemy
Video: 19h 38m
Language: English
Next start: On Demand

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