Introduction to Amibroker & AFL (Amibroker Formula Language)

First step toward systematic trading. Trading in markets with zero emotions.

Ratings 3.32 / 5.00
Introduction to Amibroker & AFL (Amibroker Formula Language)

What You Will Learn!

  • Introduction to Amibroker & AFL programming
  • How to import data in Amibroker
  • How to use AFL editor & Analysis tab
  • How arrays work in AFL
  • Exploration & scanning
  • Back testing & optimization
  • Stepping toward system trading

Description

This course is created for the beginner level traders who just want to start their career in systematic trading or for the traders who just want a shift from their discretionary trading.

Why system based trading?

According to many of the surveys and studies happened in the past we got to a point that more than 95% of retail loose money  in the markets. Multiple factors are the reason for the same, but some of the biggest one are the emotions i.e. fear and greed. We can't overcome that completely but can reduce them to some extent with system based trading, where all the entries, exits, profit and  loss booking are decided prior of taking the trades.


Amibroker software is used heavily for the purpose of  explanation. Learnings provided in this course can also be applied on the trial version of amibroker. There is no compulsion of licensed version.


Key learning of the course to operate this tool effectively:

Database handling

How to handle split & merger of stocks

Classes that AFL understands

How arrays work in AFL


No prior knowledge about programming or AFL?

No Problem

We will start from the basics of programming language. Concepts like how AFL works and what are the things we should keep in mind as trader will also be covered, so that we can use coding part of AFL in our favor as a market participant.


See you in the course!

Who Should Attend!

  • Traders who are starting toward system based trading
  • Who are not getting results with discretionary trading
  • Trader who want to start coding with AFL

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Tags

  • Algorithmic Trading

Subscribers

615

Lectures

13

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