StrategyQuant Interview: How Ramon Went From Manual Trading to Managing Millions

Can a trading platform really change the way you trade?

Ramon believes it can.

In our latest interview, Ramon shares his complete journey from struggling as a manual trader in 2014 to becoming a professional algorithmic trader managing multiple accounts and helping oversee more than €30 million with his community.

But this isn’t another “get rich quick” story.

Ramon spent years testing ideas, experiencing painful drawdowns, and building a robust trading methodology inside StrategyQuant. His biggest lesson?

The strategies that performed best in the past are not necessarily the ones that will perform best in the future.

In this interview, you’ll discover:

• Why Ramon abandoned manual trading and moved to automation
• How he builds portfolios instead of relying on a single strategy
• Why diversification across accounts became one of his biggest advantages
• His exact workflow for finding robust entries and optimizing exits
• How he handles drawdowns psychologically and technically
• Why he doesn’t blindly trust books, theories, or internet gurus
• How AI is helping him build trading tools and custom StrategyQuant components

Perhaps the most surprising insight is that Ramon doesn’t try to outsmart the market.

Instead, he gives StrategyQuant freedom to search through thousands of possibilities while focusing on robustness, portfolio construction, and long-term consistency.

After years of trial and error, this approach helped him build a repeatable process and achieve results across multiple accounts.

If you’re looking for an honest StrategyQuant review from someone who has spent years using the platform in live markets, this interview is worth watching.

Watch the full interview on YouTube and see Ramon’s complete workflow, live accounts, and lessons learned from years of algorithmic trading.