Grow your wealth with an innovative, data-driven trading concept

MID Capital was founded by Neeltje Tuynman, Reinier van Straaten and Bram van der Linden. What brought them together is their shared passion for the financial markets, but each with a unique approach. Bram traded intuitively and based on technical patterns. While Reinier focused on a data-driven, analytical approach. Their complementary expertise in finance, sales and data analysis forms the perfect basis for a strong partnership.

The foundation of MID Capital lies in the advanced model that Reinier developed over more than seven years. It goes far beyond superficial data trends; the model is based on in-depth statistical analysis and complex econometric calculation methods, designed to exclude emotions and speculative decisions entirely. The long-term focus allows them to use temporary market movements as opportunities rather than threats. This is part of the strategy behind the model, which is designed to deliver consistency over the years, even in volatile markets. Currently focused on the S&P 500, the model is scalable to other asset classes, such as commodities and indices, offering further opportunities for automation and growth.

Our goal is to beat the market. To achieve this, we take controlled risks. We trade futures (a leveraged product) daily based on a consistent, data-driven model. Our extensive backtests demonstrate that this approach is profitable, with a strong balance between gains and losses. At the same time, the backtests show that periods of negative returns are inherently part of our trading strategy. Timing is key for new entrants; over time, the gains far outweigh the losses.

• It precisely determines the direction of the trade, position size, and stop-loss level.
• Positions are never held overnight, keeping risks strictly manageable.
• The system is continuously optimized and is fully scalable, with plans to expand into other markets and asset classes.

With over 20 years of experience in commercial and strategic roles, Bram van der Linden has made his mark at companies such as Canon and Samsung, managing major accounts like Rabobank. Specializing in business development, he possesses in-depth knowledge of various markets. His academic background includes a bachelor’s degree in Marketing, Economics, and Finance from Haarlem Business School.

Despite his successful commercial career, his interest in financial markets remained strong. During the COVID-19 pandemic, he fully immersed himself in day trading on the New York Stock Exchange. This success led to his collaboration with Reinier, where he discovered an entirely new approach to investing: a data-driven strategy free from gut feelings. Bram believes that to beat the market, it’s essential to accept periods of setbacks; otherwise, you can never outperform the market. He now manages the commercial side of MID Capital, maintaining personal contact with participants, with a strong focus on honest and transparent communication. His dedication and integrity make him the ideal link.

Reinier van Straaten brings over 15 years of experience in financial analysis, investments, and real estate management. He graduated with a degree in Business Economics from the University of Amsterdam and took additional courses in Financial Econometrics and Corporate Finance at the Amsterdam Business School. After years as a senior financial analyst at Syntrus Achmea, where he was responsible for complex financial analyses and risk management, Reinier discovered his passion for derivatives trading. After managing real estate, he decided to fully focus on developing an advanced model.

Reinier is the analytical mind behind MID Capital’s data-driven strategy. His goal was to create a consistent trading strategy that could withstand market fluctuations. The model’s complexity leads to a simple approach: it determines the trade direction, position size, and stop-loss level and ensures positions are never held overnight. His precision and discipline make him a crucial pillar of MID Capital, where he continues to focus on further automating and refining the model to ensure long-term stability for investors.