-
The portfolio we proposed has generated a 17.1% return on the initial 800,000 euros, which is a good result. With these gains, it would now be an excellent opportunity to diversify and use systems from any developer that meets the requirement of 4 years of consistent profitability. The key would be to disconnect the current systems and focus on selecting those that have shown strong performance over the long term. It’s crucial to use both
-
I recommend following a structured approach. Here are the key steps to build your own automated trading systems: 1. Define the Objective of Your System Before starting, it’s crucial to be clear about what you want to achieve with the system. Do you want a system that runs 24/7? Or one that only activates at certain times of the day? Will the focus be on high-frequency trading or longer timeframes? Defining the objective will help
-
In the world of trading, two main approaches stand out when it comes to analyzing markets: technical analysis and fundamental analysis. While both have their strengths, the key to becoming a successful trader lies in understanding how to combine these two methods. In this article, we will explore how to integrate technical and fundamental analysis into your automated trading strategy to maximize profitability and minimize risk. Understanding Technical and Fundamental Analysis Technical Analysis: Technical analysis
-
Risk management is arguably the most important aspect of trading, especially for professionals who aim to achieve consistent profitability. While developing a profitable strategy is crucial, protecting your capital is the key to long-term success. In this article, we’ll discuss the fundamental principles of risk management, how to apply them to your trading strategy, and the common mistakes that can undermine your risk control efforts. What is Risk Management in Trading? Risk management in trading
-
One of the most critical aspects in developing a trading strategy is the ability to test it before applying it in the real market. Backtesting is the process of testing a strategy using historical data to assess its performance under past market conditions. It is an invaluable tool that allows professional traders to ensure that their strategy has the potential to generate consistent returns. In this article, we will explore the importance of backtesting, how