Automated Trading Programming and Developing

Posted by by Jack Young ,

As either a newbie or an experienced trader in the online market, you need tools and assets that will significantly increase your trade efficiency, especially by enabling faster and more effective execution of your trading strategies. CFD, as used here refer to contract for differences, a financial contract and a binding legal agreement that create, defines and govern the mutual rights and obligations between buyers and sellers on a trading platform. One of technical assets that assists you with trade execution in this form is Automated Trading Platform. Automated trading platforms are created with several programs by software experts to make trading easier for you.

What is automated trading?

Automated trading is a technique used in participating in the financial asset market specifically by using a program that executes pre-set rules for entering and exiting trades. This helps you as a trader to combine thorough technical analysis with set parameters for your trading positions. These positions include the order to open, your trailing stops and guaranteed stops, among others.

Talking about efficiency, automated trading enables you to take many trades in a small amount of time. This comes with an added benefit of taking emotions out of your trading decisions and market analysis. This is the case because on automated trading platforms, the rules of the trade are already built into the parameters you set. This is achievable with the help of algorithm and machine learning which enable you to use pre-determined strategies to follow trends and execute trades accordingly.

How it's actually works

The first step to take when you want to trade financial assets automatically is to choose a platform to use. Fortunately, there are many platforms in this category. These platforms are built by software engineers from several lines of codes to suit its trading technical needs. Different programs can be used to do this. Some of them include Python, Java, and C++ to name a few. When using these platforms, traders utilize their trading experience to create set rules and conditions on the auto-trading applications. Your custom algorithm will then apply the criteria to place the trades on your behalf, usually based on the timing of the trade, the price at which the trade should be open and closed, as well as what quantity of funds you will like to trade

It doesn’t usually end at this. The automated trading strategy you have set will constantly monitor your financial market prices to execute trades automatically if predetermined parameters are met. Basically, this helps you to trade faster and more efficiently, taking advantage of specific technical market events. Summarily, trading automatically using auto-trading applications involve;

- Choosing a platform

- Setting your trade parameters

- Create a set of rules and conditions for your trade

- Allow algorithm to place trade on your behalf

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Automated Trading Programming  - Advanced Course

The financial asset market is so robust that not everyone has to be a trader. You can specialize in creating automated trading platforms using your skills and expertise as a software engineer. This follows going through some courses that develop you technically and brace you with the knowledge of the best programs to build these platforms. You simply need automated trading advance functions programming course. The interesting part about this course is that whether you are an experienced programmer or newbie, everyone and anyone can join this program since it teaches everything you need to become a professional right from the beginner’s level.

You will specifically learn how to write codes and programs that support financial asset trading. The course has been carefully scheduled in line with the breakdown of the languages and techniques to learn. Learners will be using at least two weeks on each phase of learning as have been technically broken down to your understanding.


Technical requirements 

An automated trading application is a robust and complex one given that it deals with lot of data and trading behaviors learning. Recall that users utilize pre-set state and learned behavior on the application. This makes the principles of machine learning and algorithm as significant. Even so, there is entirely nothing to worry about with a carefully broken down scheme of work and technical requirement. Here is the breakdown of some of the knowledge and expertise required to build such app as stressed in this course;

Basics in Python, C++ and C#, and Mathematics for algorithm trading

You will specifically need a strong knowledge base in server-end programs like Python, C++ and C# to develop an automated trading application. You will be learning these three specifically because they are the top programs used in the industry based on their importance level. Python is especially rated as very popular and simple to learn because it a syntax-based language unlike most others. You will also be needing knowledge in mathematics and algorithm trading since you will be building a program that studies and learns from trading behaviors.

Algorithm science as a key to behavior and machine learning

Algorithms are built based on the principles of mathematics and machine learning, and so you will need to learn Python to excel in building such programs that work with lots of data and behavioral complexes. Pythons lets you create and use technical indicators in this instance. Learning C++ alongside Python means that you will be learning how to build a program that let you analyze data as well as enable real-time automated system execution.

Other key technical principles of note

Further in the course, you will be learning the principles behind the working of Hurst exponent and how to adapt strategy to your data. Your application’s quantitative system will be taken care of with C++ and C#. As an object oriented language, C++ has the needed portability, low-level manipulation, memory management and multi-paradigm as well as scalability and compatibility with C# (as a general purpose programming language) to make the work easier for you. Other factors you will be learning to make an automated trading system include;

- Basic concept of machine learning

- Syntax, variables, operations and conditional expressions

- Coding QA and debugging

- Ensuring application code accuracy

Who should be interested in this course?

As earlier said, anyone can join this course since it will be taught exactly from beginner’s level. From a professional perspective, we strongly believe that every software developer should be interested in a robust package like this to harness the multiple opportunities in the financial asset market. Professionals from all works of life should be interested too since everyone are directly and indirectly a component of the money market. It wouldn’t be a bad thing to know how the system works and be able to build one that solve different problems, or similar ones differently.

Schedule and how program will be taught

This course has been carefully broken down to fit directly into the technical sub-divisions of the learning. That said, students will use at least two weeks of intensive learning on each phases of the course breakdown. This is considered sufficient to bolster knowledge acquisitions well as speed up the process.

The program will take a multi-faceted approach to teaching. Aside from presenting students with course materials and other valuable component of the total course package, online videos will be recommended and supplied to foster personal learning as the case may be. At the end of the course, you might be having a new badge as a code writer and programming professional.

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