Learn how to make $500K a week from NASDAQ futures

ALGORITHMIC TRADING NASDAQ 1000 FUTURES

Learn how hedge funds can extract from the market $500,000 a week using ITG Quantum AI and NASDAQ Futures

In this section, we explore the application of ITG Quantum AI—across multiple versions—for trading the fast-paced and highly volatile NASDAQ Futures (NQ) market. Known for its sharp movements and rapid trend reversals, the NASDAQ offers both opportunity and risk for traders who lack a disciplined, systematic approach. ITG Quantum AI is specifically engineered to navigate this volatility by identifying high-probability trade setups, managing risk with precision, and adapting to changing market dynamics in real time. Whether you’re trading manually with AI support or using fully automated execution, our different versions are tailored to meet a range of trading goals and styles.

Each version of ITG Quantum AI brings a unique edge to the table—from aggressive scalping strategies and progressive scaling models to advanced pattern recognition and market structure tracking. In this section, we will highlight how each version performs in live market conditions using e-micro and e-mini NASDAQ futures, particularly during periods of extreme volatility. By demonstrating real-time trade execution, profit generation, and risk control in one of the most challenging futures markets, we aim to show how our AI can deliver consistent performance while helping traders stay on track with their long-term growth objectives.

ITG Quantum AI is a powerful and sophisticated tool that can provide traders with a significant edge in pursuing their trading goals. However, algorithmic futures trading is not suitable for everyone. We strongly recommend thoroughly testing all strategies in a simulated environment before committing real capital. Please consult with a licensed financial advisor to ensure this approach aligns with your individual risk tolerance and financial objectives.

— Val Baur, CEO & Founder, ITG Capital Management

In this video, we will be testing the third version of ITG Quantum AI, which features a unique approach compared to the earlier releases. Unlike Version 2.03, which operates with a static scaling progression, and Version 4.01, which uses dynamic scaling, Version 3 introduces a fully automated progression logic. This means the AI continuously evaluates unrealized losses when the market moves against open positions and calculates the optimal market conditions along with the appropriate number of additional contracts required to remain within predefined profit and buffer targets. This adaptive logic allows the AI to be more patient and strategic—especially effective on higher timeframes like 15-minute, 30-minute, and 60-minute charts—where it avoids scaling prematurely, unlike the more reactive approaches of earlier versions.

This strategy is particularly resilient during large market swings that typically occur during news releases or volatile market openings, making it ideal for extended trading hours. Because the AI doesn’t immediately increase exposure when a position goes against it, the algorithm can run safely for nearly 23 hours a day, minimizing the need for manual intervention. For this test, we’re running the AI from 6:30 PM EST until 4:00 PM EST the following day, stopping just before the market close. To maintain proper risk management, we will not carry any positions overnight, ensuring no risk of margin calls or overnight exposure.

Our risk-to-reward setup for this strategy follows a 1:3 ratio, risking $4,000 per e-mini contract (or $400 per e-micro) with a profit goal of $12,000 ($1,200 for micro contracts). The profit target is set at 40 ticks ($200) with an equivalent buffer of 40 ticks, and the maximum number of open positions is limited to 64. We’ve configured aggressive signal generation using the 51-50-49 setup, and the Super Trend indicator is tuned to 3-7. We’ve also enabled the Super Trend Consistency requirement, meaning trades will only continue while the trend remains intact. If the trend changes, any open position is closed at bar close. Trading will automatically stop if either the profit or risk target is hit, or at the end of the session, with all remaining positions liquidated at market price.

With this configuration in place, we’ll now take a look at how ITG Quantum AI Version 3 performed throughout the month of January, trading NASDAQ futures under real market conditions. This test is designed to evaluate the algorithm’s ability to maintain discipline, manage risk, and generate consistent returns across a volatile month—highlighting the power of fully automated logic in navigating today’s fast-moving futures markets.

As many of you know, Val Baur developed the first version of ITG Quantum AI with inspiration from institutional trading strategies and the operations of hedge funds. By the time we reached Version 3, the algorithm had evolved to closely replicate the logic used by professional trading desks and proprietary firms. In this video, we present an example of how this version performs in a large-scale trading environment, demonstrating how high-capital accounts can utilize this setup effectively. You’ll be watching trades executed throughout a full trading week on an account that could comfortably risk $200K per day trading e-mini contracts—a realistic scenario for a hedge fund.

What’s most remarkable is the result: over $500,000 in net profit was generated within just five trading days, using a controlled number of open positions—capped at 80 contracts. This is only a fraction of what institutional traders are capable of, given that maximum position limits for index futures can reach up to 10,000 contracts. The potential scalability is massive. For this test, the initial risk was set at $200,000 for e-mini contracts, which represents 2% of a $10 million account. For traders using e-micro contracts, this would translate to a $20,000 risk, making it accessible to smaller but still well-capitalized retail accounts. As you’ll see in the trade summary at the end of the video, nearly all losses occurred not from market direction, but due to mandatory position liquidation at session close to avoid margin calls.

But does this mean that ITG Quantum AI Version 3 is only suitable for large institutional accounts? Absolutely not. This version can be effectively adapted for smaller account sizes by simply trading e-micro contracts or by scaling the strategy based on your available capital. In fact, more than 75% of trades in this example were closed without any scaling, making it accessible for traders starting with just 5 or 10 contracts. The core logic and trade management principles remain the same, allowing traders at any level to benefit from the system’s intelligence and structure.

At its core, ITG Quantum AI is a flexible trading tool, not a rigid, one-size-fits-all algorithm. It’s designed to be customized—whether you’re trading full-time as a professional or managing a smaller personal account. The ability to adapt its logic and settings means you can tailor it to your trading style, risk tolerance, and capital base. So, whether you’re just beginning your journey or already managing substantial capital, this video will offer powerful insights into how Version 3 can elevate your trading. Enjoy the walkthrough and pay close attention to the performance summary at the end.

Trade Direction: Long and Short
Entry Order Type: Market
Entry Time: End of Bar
Session Profit Target: $200k ($20k for e-micro per 1 contract)
Session Risk Limit: $200k ($20k for e-micro per 1 contract)
Additional Buffer: 40 ticks – Scaling automatic
Profit Target per Trade: 40 ticks, or $200.00
Trading Bloc -start with 1-10 contracts
Maximum Open Positions: 80
SuperTrend Consistency: Yes, required for entry
To filter entry signals more precisely, set ITG Signal Strength to 51-50-49
The SuperTrend Indicator is set to a 2.00 multiplier and 7 periods.

All other settings can remain at default. For this test, we’ll run the algorithm from 6:30 PM Eastern Time through 4:00 PM.

Let’s see how ITG Quantum AI v.3 performs under these optimized conditions.

NFA Required Risk Disclosure

The trading results shown are hypothetical and presented for educational purposes only to demonstrate one possible application of the ITG Quantum AI software. These results are not typical, and there is no guarantee that any trading account will achieve similar profits or losses.

Futures trading involves substantial risk of loss and is not suitable for all investors. You should carefully consider whether such trading is appropriate for you in light of your financial condition, objectives, and level of experience.

Past performance, whether actual or hypothetical, is not necessarily indicative of future results. All examples are for illustrative purposes only.

ITG Quantum AI is a tool and not a promise of performance. Use of the software should always be combined with sound risk management and awareness of market volatility.

how it worksDiscover multiple strategy setups designed to unlock the full potential of ITG Quantum AI v.203.

Scalping

Suitable for range and second bar. Can be used during any trading session, Short profits and large number of open positions.

Swing Trading

This could be done using 1m-5m-10m charts. Suitable for classical 1-2 lots trading with Stop Loss or with scalable positions options.

US Trading Session

This sessions usually last from 7am-2pm. Could be set up with breaks for news release and NYSE opening to avoid volatility.

30 Minutes Trading

You'll trade only 30 minutes a day during the most volatile market , during the opening of NYSE using range bars.

Time trading

This is position trading with 1-2 contracts and very large profit targets. Trades initiated at the same time every day.

30 Minutes Auto Trading

Very reliable set up using 30M bars. Start with the opening of trading session and closed 30 minutes before the closing.

This is just a small glimpse of what’s possible with ITG Quantum AI v.203. Because all key components of the algorithm can be customized to match a trader’s risk tolerance, account size, and trading objectives, the number of potential strategies is virtually limitless trading goals, there is virtually limitless number of trading strategies it could be used with.