Algorithmic Trading Course
Algorithmic trading or quantitative trading involves the usage of statistics & programming into trading.
Developing algorithmic trading strategies is different to traditional trading methods. The focus is on developing trading systems which follow a logical sequence of rules, removing the discretionary aspect of trading entirely. It circumvents traditional issues arising from human trading psychology, which is one of the biggest factors for why traders fail.
Though Systematic trading has been around for decades, the ability to process information and react much quicker than a human can, as well as the ability for a system to follow a defined set of instructions for placing trades, means that systematic trading is widely regarded as the wave of the future.
Why Should a Trader Learn Quantitative Trading?
Currently, algorithmic trading is more frequently used by big institutions and professional traders, but the rise in machine-learning and Artificial Intelligence has supercharged its capabilities and has only increased its popularity immensely – a trend, we believe, is only likely to continue to increase as the marriage of systematic trading and Artificial Intelligence and machine-learning becomes more mainstream.
At London Trading Institute, we give you the rare and unique opportunity to learn directly from a certified quant, Alberto Pallotta, who has the knowledge, passion, experience and a verified track record within this sphere. He has developed over one hundred algorithmic trading strategies which he deploys daily to trade large, live funds.
This course is perfect for students or professionals who are new to the domain of quantitative trading
If you want to have access to ready-made trading systems which we ourselves use to trade profitably, as well as the knowledge to develop your own trading systems, book your free consultation today to discuss this opportunity and see if algorithmic trading is for you
Core Learning Objectives
In this course, you will learn:
- An introduction do algorithmic trading
- The difference between quantitative, algorithmic, systematic and rule base trading
- How to back test ideas based on technical analysis
- Rule-based trading
- An introduction to different programming languages.
- Reversal strategies
- Momentum strategies
- Bias strategies
- CFD-based system
- Futures based system
- Strategy on indexes
- Strategy on commodities
- Code your on indicator
- How to manage a portfolio of systems