Algorithmic Trading: How to Choose Technical Solution
Most often, traders on line have trouble finding optimum solutions for algorithmic trading. Before using this method, learn its main principles and decide whether it satisfies you.
Table of Contents
What is algorithmic trading?
An algorithm is a certain set of actions built into a computer program for solving certain problems. It is more or like as complicated as a computer game or electronic table but it contains a range of various functions and follows a set of instructions by a built-in strategy.
Algorithmic trading money is a method of work in financial markets that implies special software containing a set of instructions for trading without human participation. Such software enhances traders’ opportunities and the efficacy of their trading. The main advantage of such trading methods is that it can be carried out at a speed and intensity that can never be reached by the human brain. This is the reason why algorithmic trading has become so popular.
How to choose an optimum solution for algorithmic trading?
To become successful, a trader must realize and control all the trading algorithms they use. No matter how weird this sounds, market trading in currency is basically mind games. Algorithmic trading in Forex or stock markets significantly increases the risks of losing the whole of your investments, that is why you need to be so scrupulous about choosing software for algorithmic trading.
#1 Choose software according to your trading psychology
This is the most important part before studying algorithmic software. Like other trading methods, algorithmic trading with money requires discipline, patience, and emotional restraint. Make sure that algorithmic trading does not contradict your normal trading strategy. This becomes especially acute when a trader gets into a deep drawdown. Many strategies with good backtest results can easily ruin your deposit by a couple of failed trades. Hence, before taking up a new strategy, make sure you understand it well.
# 2 Create your own trading strategy
Having got ready to trade curency, find out the type of traders you belong to, as well as how much time you are ready to spend on trading. Finding this out, you will be able to choose a trading strategy and optimum frequency of trades. For example, if you work 8 hours a day, there is no chance you will master intraday strategies. Adjust your trading strategy to the time you are ready to spend on trading. At first, software for algorithmic trading will take a lot of time for setting it up and optimizing it, but this will pay back when the process smooths out and you will not need to constantly control your robot.
#3 Money available for trading
The minimal sum for starting algorithmic trading might vary depending on your trading strategy and software parameters. For “high-frequency” trading strategies, you will need quite a deal of money to support your deposit in drawdowns. If you have decided to start off with a small sum, opt for “low-frequency” strategies. In this case, you will be trading a couple of assets and just several market positions but you will not spend a fortune on paying commission fees.
#4 Use advanced software
To create an indeed efficient algorithmic software, you need to have good programming skills. You might need to know C++, Java, or Python. Your knowledge will let you create high-quality trading algorithms with full control over the technical solutions you use. For those having no knowledge of such languages, there are solutions like Strategy Builder in R Trader. The platform itself is free and has a built-in Algorithmic strategy designer where you can easily add, edit, and backtest any strategy.
If you think that algorithmic trading software is a “money-making machine” you are quite wrong. No algorithmic software will let you make a quick fortune. Success requires substantial effort, iron discipline, and tons of patience because a profitable trading strategy might need months if not years to debug and set up.