Python Algo Trading: Market Neutral Hedge Fund Strategy
4.3 (32 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
468 students enrolled
Wishlisted Wishlist

Please confirm that you want to add Python Algo Trading: Market Neutral Hedge Fund Strategy to your Wishlist.

Add to Wishlist

Python Algo Trading: Market Neutral Hedge Fund Strategy

Hands on Python guide to developing your own market neutral long short hedge fund strategy with sentiment analysis.
4.3 (32 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
468 students enrolled
Last updated 4/2017
English
Curiosity Sale
Current price: $10 Original price: $200 Discount: 95% off
30-Day Money-Back Guarantee
Includes:
  • 7 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Build a market neutral long short strategy from scratch
  • Incorporate sentiment analysis as a factor in their strategy
  • Learn to critically review any trading strategies
  • Learn and apply Quant Equity work flow in to their strategy development process
View Curriculum
Requirements
  • Students will need some basic and intermediate Python knowledge
  • Some basic understanding of finance would be helpful
Description

This course provides you with the tools that top hedge funds used. These institutional tools include but are not limited to market data, fundamental data, sentiment analysis data, and more. All FREE. Yes, you read that right. FREE. Did I say Python codes are provided as well?


In this course, you will learn to design, develop, and test long short hedge funds strategy incorporating sentiment analysis, one of the hottest research area in finance, in a systematic and scientific manner. You will be able to assess your strategy and evaluate the strength and weaknesses, improve and finally at your own wish go-live.


You will get a detailed tour of the investment process of the quantitative investment world, one used by Professional Quant on a daily basis. The course will cover all the key areas such as sourcing data and making data-driven investment, defining trading universe suitable for your trading strategy, search and discovery of the elusive alpha, combining multiple alpha, follow by portfolio construction, and trading.


The hedge fund market has seen massive adoption of data-drive, quantitative approach. In an article published in Wired Technology in Apr 2017, it states:

“There was $38 billion of institutional investment into algorithmically driven hedge funds in the first quarter of 2016 alone. In October 2016, one of the biggest players, Renaissance Technologies, which has $60 billion under management, announced that it received $7 billion in investment the previous year.”

"The time will come when no human investment manager will be able to beat the computer," David Siegel, the co-founder of quantitative fund Two Sigma, which manages $35 billion, told an investment conference in 2015.

The time to take action is now. Look forward to seeing you inside!


This course is for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation for any security; nor does it constitute an offer to provide investment advisory. Nothing contained herein constitutes investment advice or offers any opinion with respect to the suitability of any security, and any views expressed herein should not be taken as advice to buy, sell, or hold any security or as an endorsement of any security or company. Any views expressed and data illustrated herein were prepared based upon information, believed to be reliable, available at the time of publication. No guarantees have been made as to their accuracy or completeness. All information is subject to change and may quickly become unreliable for various reasons, including changes in market conditions or economic circumstances.

Who is the target audience?
  • Anyone who is interested in developing algorithmic and systematic trading
  • Anyone who is interested in extracting alpha in one of the hottest area in finance
  • Those who are looking to break into the Hedge Fund industry
  • Those who are interested to apply big data and data science in finance
Students Who Viewed This Course Also Viewed
Curriculum For This Course
42 Lectures
06:49:57
+
Introduction
1 Lecture 03:59
+
Introduction to the Platform
2 Lectures 20:01
Platform Introduction
01:16

Platform Ecosystem
18:45
+
Professional Quant Workflow
1 Lecture 01:45

#NEW Added 29 Apr 2017

Professional Quant Workflow
01:45
+
Trading with Sentiment Analysis - Psychsignal
6 Lectures 01:22:32
Introduction - Psychsignal
10:45

Importing the Libraries and Exploring the API
21:13

Defining Our Factor
13:50

Analyze the Predictive Power of our Factor
13:04

Backtesting Factor
16:34

Analyze Backtest Result
07:06
+
Trading with Sentiment Analysis 2 - Sentdex
6 Lectures 52:52

#NEW: Added 1 May 2017

Introduction - Sentdex
06:22

Importing the Libraries and Exploring the API
10:03

Define Factor
05:50

Analyze the Predictive Power of Our Factor
08:01

Backtest Factor
10:48

Analyze Backtest Result
11:48
About the Instructor
Anthony NG
4.4 Average rating
124 Reviews
1,867 Students
4 Courses
Algorithmic Trading Workshop Researcher and Conductor

Anthony Ng has spent the last seven years as a Senior Lecturer teaching algorithmic trading, financial data analysis, banking, finance, investment and portfolio management. He assists Quantopian, a Boston-based Hedge Fund, to conduct Algorithmic Trading Workshops in Singapore and has presented in the recent QuantCon Singapore 2016. You can find his Algorithmic Trading tutorials on his YouTube channel. Just click the YouTube icon to visit his channel.

Passionate with finance, data science and python, Anthony enjoyed researching, teaching and sharing on these topics. Anthony studied Masters of Science in Financial Engineering at NUS Singapore.

Anthony Ng of algo_hunter
4.3 Average rating
32 Reviews
468 Students
1 Course
Algorithmic Trading Workshop Researcher and Conductor

Anthony Ng has spent the last seven years as a Lecturer at an Institute of Higher Learning teaching algorithmic trading, financial data analysis, banking, finance, investment and portfolio management. His students, whom he coached, went on doubling their equity in 10 days and won the 2016 CME Group Trading Challenge beating 400 other university teams.

He assists Quantopian, a Boston-based Hedge Fund, to conduct Algorithmic Trading Workshops in Singapore and has presented in the recent QuantCon Singapore 2016. You can find a lot of his Algorithmic Trading tutorials by visiting his YouTube channel. Just click the YouTube icon to visit his channel.

Passionate with finance, data science and python, Anthony enjoyed researching, teaching and sharing on these topics. Anthony studied Masters of Science in Financial Engineering at NUS Singapore.