Creating a customized trading system is a common aspiration among those passionate about financial markets. Many feel a kind of necessity to develop their own system, perhaps driven by a desire for control or the pursuit of a sense of personal achievement. However, the risks and the time required to validate such systems can be daunting and, ultimately, counterproductive. On the other hand, opting for systems with a proven track record offers a safer route

Imagine a fund operating with 20 portfolios of systems like this one. I have the tools to create 20 portfolios of this magnitude. If you are a retail investor, my advice is to look for an investment fund that applies this methodology. And if you are an investment fund, don’t think twice, just do it. SINCE 2001 CHART 1. EQUITY CURVE PORTFOLIO $ 01/01/2001-01/31/2024 CHART 2. MAX DRAWDOWN $ 01/01/2001-01/31/2024 CHART 3. DAILY DISPERSION $

Algorithmic trading, also known as automated trading, systematic trading, trading bots, or algo trading, allows operating in financial markets 100% automatically, without the need for any trader intervention. Basically, it consists of programming a strategy that tries to take advantage of inefficiencies that arise in the market. What is Algorithmic Trading? Algorithmic trading requires the use of computer programs that seek patterns that have appeared in the past with the intention that they continue to

Financial futures are standardized contracts that oblige the parties to buy or sell a specific asset at a future date and at a price agreed upon in advance. These contracts are traded on futures markets, which are centralized platforms that facilitate the buying and selling of futures among investors. The underlying assets of these contracts can include commodities, stocks, bonds, currencies, and other financial instruments. Futures are used for a variety of purposes, including risk

1. Demand verified results of at least 4 years: This emphasizes the importance of long-term performance data to assess the reliability of a trading system or strategy. It helps filter out systems that may have performed well by chance in the short term but lack robustness over longer periods. 2. Activate and deactivate systems in moments of calm: This suggests adjusting your trading strategies during periods of low volatility or when the market is not