Before we get started, we're going to see a brief introduction to algorithmic trading for some of you
that are not familiar with the concept.
It's very important to have the foundations.
It is where he's going to be easier in the future to know what we are going to be doing, how we are
going to do it and why.
So why we need to do algorithmic trading, let's start by the main concept.
What these algorithmic trading?
It is a technique that a computer program uses to automate the process of buying and selling assets
such as stocks, options, futures, forex, currency pairs, cryptocurrencies and so on.
Any trading is also known as algo trading.
HFT automated trading.
All black boxes.
These terms are often used interchangeably.
We can think of it as the cold that follows a set of step by step operations that are executed automatically.
These operations are based on the rules that have been programmed in advance in our case will be using
parameters such as price volume, time, financial data indicators, among others.
Maquis algorithmic trading developed.
It is developed following a main three step process.
First, we come up or we need to come up with our trading idea.
Second, we need to turn that idea into a strategy that can be systematic, unrepeatable and three,
transform it into an algorithm.
Of course, we think all these are steps.
We have so many other steps, techniques and also methodologies.
Once we have the main program, the next step is backtesting or to run our algorithm in historical data.
We do that verified.
It's my ability to see if the algorithm looks promising or not.
If our called give us good results in drug testing, we may have an advantage in the market is worth
mentioning, of course, that achieving a profitable automated trading strategy by any means is not
an easy task, but also is not impossible.
Next, we're going to see what is about about free trade that we'll be using in our development.
Why are we using these specific about how he's going to facilitate those our algorithmic trading development?
How to make the most of it will save us time and, of course, resources.