Trading Solutions Powered by Machine Learning
An innovative way to trade with machine learning techniques
Make your crypto bots smarter with machine learning algorithms.
How easy is it?
Select the Model
The models are all built with advanced machine learning techniques, so each one performs differently on the markets. Select the one that best fits your needs.
At 1DES, our technicians are prepared for any type of cyberattack. One of the world's leading network providers certifies our network security. In the application layer, we employed the latest methods and technology to ensure the safety and reliability of the platform. Each application has successfully passed the full software testing process. More Details
Machine learning is formed by this idea that machines can learn from data, recognize patterns and execute with least human intervention. All of these methods are implemented over trade strategies, and by automating them, 1DES creates a friendly and efficient environment for all participants.
The most significant difference between 1DES automation trading and other crypto bots and trading robots is "Surveillance". We have built 1DES' automation to take care of orders, and this is possible when trading models are integrated. As well, it is equipped with the right trading strategies that work dynamically based on machine learning.
A trading strategy is a plan designed to achieve a profitable return by trading long or short in the markets. However, at 1DES, we use a variety of different machine learning methods to make these strategies dynamic and more profitable. Following this, the automated system places the long and short orders in the market.
Start trading like a pro now for free
- No time limit
- No credit card needed
- No commissions
- Up to $1000 trade volume
How does it work?
We believe data speaks and we are keen listeners. In 1DES's lab, we begin by collecting and analyzing data. After that, we make a machine learning model and search for patterns. The connected automation automatically buys and sells based on the model's signals and the integrated risk management controls the funds and investments. More Details
The 1DES academy is here:
How to improve algorithmic trading's win rate by machine learning: Feature SelectionThe selection of features is one of the most important techniques of machine learning because it serves as a fundamental method to direct variables to what is most efficient and effective for a given machine learning system. There are many methods to accomplish that but we’re just going to practically use some simple rules in this article.
How to improve algorithmic trading's win rate by machine learning: Labelling DataFirst, we calculate the win rate of an algorithmic strategy using the Python backtesting library. Next, we use a machine learning model on the same data and timeline to improve our win rate.