Welcome to our five-part series where we explore a specific trading strategy that can be used with our ITG Quantum AI as part of the Compound Risk Reinvestment System (CRRS). In this video series, we focus on a detailed setup using version 2.03 of ITG Quantum AI, trading S&P 500 e-mini futures during the challenging market conditions of May 2025. This was not an easy month to trade, following a surge in volatility that began in April and extended well into May. To illustrate just how turbulent these months were, consider this: our brokerage—like most in the industry—disabled day-trading margin discounts nearly every day during this period. Typically, margin restrictions only occur during major economic news events to reduce risk from unpredictable price swings. However, for nearly two full months, traders were required to use standard margin even for intraday trading—a clear sign of elevated market risk. This makes it a perfect backdrop for testing the AI’s performance under stress.

For this strategy, we’ve adjusted our risk-reward profile to a 1:2 ratio, aiming for higher profits relative to our risk. Our daily risk limit is set at $2,000 per contract for e-mini accounts and $200 for e-micros, with corresponding daily profit targets of $4,000 and $400. These figures align directly with the examples provided in our CRRS introduction found in the “Edge” section of our website. The AI will be configured to take both long and short trades, operating strictly in the direction of the Super Trend indicator, using 12 ticks ($150) as the base profit target per trade. Scaling will follow the same buffer logic, and signals will be set to scalping mode, with standard Super Trend settings ensuring trade consistency.

Unlike typical trading sessions focused on morning volatility, this test begins at 6:30 PM ET, when market conditions tend to be more subdued, allowing for cleaner signal execution. We’ll be using a 15-minute chart, which provides a balanced perspective—less aggressive than 1-minute or 5-minute charts, but faster than the 30-minute frame. Our goal for the month is clear and intentionally modest: generate $3,000 net profit per e-mini contract or $500 per e-micro contract, then stop trading and book profits. This disciplined approach is central to CRRS—not chasing the market, but instead building wealth through consistent, repeatable success with minimal stress and manageable drawdowns.

Remember, the purpose of this series is to show just one of many possible configurations that can be used within CRRS. Our algorithm is specifically designed with these principles in mind—to help traders meet modest monthly goals reliably, which in turn allows for safe scaling as the account grows. Whether you’re using ITG Quantum AI or following a manual strategy, the key to success lies in consistency, discipline, and a clear plan. Be sure to watch all four videos and refer back to the Edge section to see how this strategy fits into the broader CRRS framework.