Back to the Futures: Futures Trading 101

Unlock the Futures Markets
Rating: 4.1 out of 5 (25 ratings)
326 students
English
English [Auto]
The foundation for trading futures.
Take your financial skills to the next level.
Understand how the futures market works.
Create your own trading strategies for futures.
Enhance your trading portfolio composition by including futures.
Make sense of all futures trading details.

Requirements

  • Having an open-mind to immerse in the financial markets.

Description

**Futures Trading Course taught by in-the-industry quants and traders**

Are you ready to make more sense of the financial markets and harness the opportunities offered by futures? Futures have long been a valuable financial instrument used by professionals and lesser-known to non-professional traders. This concise trading course aims to unlock the potentials for traders of all backgrounds. You will learn about the backbone of trading futures, from the mechanics of futures contracts/markets, to building a real-life futures trading strategy that you can implement.

This course is taught by a team of experienced and active traders, who have distilled all the important topics about futures trading into easy-to-understand essential components.

We will begin the Futures Trading journey by walking through:

  • The fundamental building blocks of futures contracts and markets;

  • Futures trading activities, e.g., who trades futures; what products to trade, etc. all through real-world examples.

  • Advanced futures concepts and scenarios leading to abundant trading opportunities (various applicable futures trading strategies).

  • The last chapter is designed to integrate basic concepts with quantitative analysis using Python: a taste of algorithmic trading geared towards experienced traders and those who want to take it beyond retail level.

  • We will build a futures Pairs Trading strategy and backtest from scratch.

At the end of the course, you will have the necessary tools to start trading futures, whether in a traditional or quantitative way.

For the price of a coffee, you have the power to supercharge your trading and gain a competitive edge. Enrol today and enjoy:

  • High-quality, up-to-date video lectures

  • Python Jupyter Notebooks for the trading strategy

  • 30 day, no questions asked, money back guarantee

Get an edge in futures trading now!

Who this course is for:

  • Anyone interested in learning about the financial markets.
  • From finance novice to experienced finance professionals.

Course content

6 sections19 lectures1h 5m total length
  • Introduction
    01:38

Instructors

Algorithmic Trader
Andrew Barracosa
  • 4.1 Instructor Rating
  • 25 Reviews
  • 326 Students
  • 1 Course

Andrew Barracosa has been trading financial markets with a number of prop firms for over 9 years across a variety of asset classes including futures, equities, and forex across global exchanges.  He holds a Bachelor of Mathematics/Finance and a Masters of Applied Finance (Investing).  Throughout his trading career he has traded interest rate futures products in depth, and has built a number of automated trading systems with focus on backtesting, market micro-structure, execution systems, financial time series analysis, and post trade analysis.

CEO of AAA Quants
Tom Starke
  • 4.2 Instructor Rating
  • 187 Reviews
  • 1,417 Students
  • 2 Courses

Dr Tom Starke is the CEO of AAAQuants, an algorithmic trading and consulting firm. He has a PhD in Physics and previously held positions as a senior scientist at Oxford University and principal engineer at Rolls-Royce. Tom has since worked in the financial industry with hedge funds and proprietary trading firms such as Vivienne Court and Genesis with a special focus on data analytics and AI. He is the author of over 20 scientific papers, presents at conferences around the world and is a lecturer and faculty member for Quantopian and Quantinsti.

FinTech Data Science Consultant
Qian C. Zhu
  • 4.2 Instructor Rating
  • 187 Reviews
  • 1,417 Students
  • 2 Courses

Dr Zhu has a PhD in Microwave Engineering. She has worked at the National Measurement Institute of Australia conducting research projects on high frequency precision measurement techniques. She was also part of a global telecommunications R&D team at CommScope, conducted extensive numerical simulation and optimisation works. Over the recent years, Dr Zhu is passionate about solving challenging financial/FinTech problems using advanced analytics, especially machine learning and AI. Her most recent specialised areas at AAA Quants and Foresight Analytics revolve around credit risk modelling and predictive modelling in Finance.