ITG QUANTUM AI INSTRUCTIONS AND SET UP
Learn how each feature of ITG Quantum AI functions and how to create customized trading strategies
This section provides step-by-step instructions and educational videos designed to help you set up, configure, and optimize ITG Quantum AI for your trading strategy. Whether you’re new to algorithmic trading or looking to fine-tune your settings, our tutorials cover everything from basic interface navigation to advanced configuration tips. Learn how small adjustments can impact performance and discover best practices to align the AI with your risk and profit goals.
The Instructions section of ITG Quantum AI provides a comprehensive walkthrough of how small adjustments in algorithm settings can significantly impact trading performance. Using real examples from NASDAQ futures on a 30-minute chart, the videos demonstrate how parameters such as entry timing (End of Bar vs. Intrabar), signal frequency (70-50-30 vs. 30-50-70), profit targets, and buffer sizes directly affect trade volume, risk exposure, and end-of-day results. These lessons show both the profit potential—ranging from $12,700 to over $38,000 in a single day—and the increased risk that comes with more aggressive settings. Traders learn to recognize the trade-off between more signals and higher exposure to market volatility, helping them make informed decisions when configuring ITG Quantum AI.
In the final videos, the focus shifts to weekly performance and risk-reward balancing, offering insight into realistic expectations and long-term strategy. By testing a full week of trading with moderate settings, users see how the AI can achieve consistent profitability—even in volatile markets—when aligned with sound money management. These tutorials emphasize the importance of risk control, proper use of daily loss/profit limits, and the concept of compound risk reinvestment. Altogether, this section equips traders with the knowledge needed to use ITG Quantum AI confidently and responsibly, whether they are trading micro or mini contracts.
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
Please take time to familiarize yourself with the core features of ITG Quantum AI, which are available across all versions of our algorithm. In this section, you’ll learn how to configure trade direction, choose between market order types, and understand the differences between End of Bar and Intrabar entry timing. You’ll also be guided through setting daily risk and profit targets, using the Additional Buffer Orders function, enabling automatic stop-losses, and defining your profit targets. These foundational tools are essential for tailoring the AI to your individual trading style and risk profile.
You’ll also discover how to manage Maximum Position Size, decide whether to enable Super Trend consistency for trade confirmations, and choose if you want to exit positions when trends reverse. Additional instructions cover setting signal frequency, adjusting Super Trend parameters, managing trading session times, and enabling automatic closing at the session’s end to avoid overnight exposure and potential margin calls. Finally, you’ll learn how to scale your initial lot size to match your account size and risk tolerance. This instructional video is essential viewing for anyone planning to engage with ITG Quantum AI effectively and responsibly.
In this video, we’ll be testing NASDAQ futures contracts using tick data and the Market Replay feature inside MotiveWave. Tick data captures every single trade executed in the market, providing the most accurate playback for testing. Combined with Market Replay, this gives us a powerful tool to simulate live market conditions and evaluate the performance of our algorithm with real precision. The setup for this test is listed in the description, but let’s quickly go over the key settings:
- Trade Direction: Long and Short
- Entry Order Type: Market
- Entry Time: End of Bar
- Session Profit Target: $50,000
- Session Risk Limit: $20,000
- We recommend a risk of $10,000 and a profit target of $20,000 for optimal results with E-mini contracts.
For Micro contracts, risk should be around $1,000 with the same $2,000 profit target. - Additional Buffer: 10 ticks
- Profit Target per Trade: 30 ticks
- Maximum Open Positions: 30
- SuperTrend Consistency: Required for entry
- To filter entry signals more precisely, set ITG Signal Strength to 70-50-30
The SuperTrend Indicator is set to a 3.00 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, just before the futures market closes.
Let’s see how ITG Quantum AI v.203 performs under these optimized conditions.
In this video, we’ll explore how changing just one parameter in the ITG Quantum AI v.203 algorithm can dramatically affect your trading performance. As in our previous video, we’ll be testing NASDAQ futures using tick data and the Market Replay feature in MotiveWave, on the same date – May 1st, 2025 – and during the same trading window: from 6:30 PM to 4:00 PM the following day.
All algorithm settings remain exactly the same as in our previous test—except for one key change. We’re switching the Entry Time from End of Bar to Intrabar. This slight adjustment means that trades can now be entered before the bar is fully formed, allowing the AI to react faster to signals and execute more trades during periods of momentum. In our previous test using End of Bar entries, the algorithm generated a profit of $12,700.
With Intrabar entries, the results were extraordinary – profit surged to over $38,000, more than a 300% increase in return on the same market conditions. You’ll notice that the algorithm was far more active, taking advantage of nearly every 30-minute bar throughout the session. But keep this in mind: increased trade frequency also increases your risk exposure. With Intrabar entries, you may hit your daily risk limits faster, especially during volatile conditions. Use this setting with caution, and always ensure your risk management strategy is properly aligned with your account size and goals.
In this video, we continue our exploration of how slight changes in algorithm settings can significantly impact the behavior and results of the ITG Quantum AI v.203 trading algorithm. For this example, we return to the original settings used in Video 1 – trading NASDAQ futures with End of Bar entry timing. But this time, we make one important change: we’re disabling the Super Trend Consistency requirement.
By removing this filter, we allow the AI to freely choose trade direction the moment a valid signal is generated, without having to confirm alignment with the Super Trend indicator. This adjustment increases the number of trading signals available for the algorithm to act on. Without that layer of confirmation, the AI becomes more active – taking advantage of more opportunities, but also accepting more risk.
And the result? As shown at the end of this video, our final trading profit more than doubled—rising from $12,700 in our original test to over $25,355 in this run. It’s a compelling result – but once again, we offer a word of caution. Higher returns are a direct result of increased risk exposure. Without Super Trend confirmation, the algorithm may enter trades more frequently, which increases your time in the market and the chance of getting caught in fast price reversals. It’s important to understand that no filter means no safety net. While profit potential increases, so does the risk of losses.
In this video, we continue to explore how small adjustments in the algorithm setup can affect the performance and behavior of ITG Quantum AI v.203. This time, we return to the original settings used in Video 1 – re-enabling the Super Trend Consistency requirement to restore that important layer of risk control, and using End of Bar order entry once again. But there’s one key change in this test:
In the ITG Settings, we modify the signal frequency filter from the original 70-50-30 to a new, more aggressive 30-50-70 configuration. This adjustment changes the signal generation logic – resulting in more frequent trade opportunities, though sometimes with less precision. On a 30-minute bar chart, even short bursts of market noise – regardless of direction – are often enough to hit our modest profit target of 30 ticks, or $150 per trade on NASDAQ.
All other settings remain unchanged. And the result? By the end of the session, ITG Quantum AI produced a net profit of $23,700—almost double the performance of our original test, which generated $12,700.
In this video, we continue our deep dive into how minor adjustments in the setup of ITG Quantum AI v.203 can lead to major differences in both behavior and final results. This is an important lesson, especially for traders looking to amplify profits per trade or load up on positions earlier – hoping to increase net returns. We begin with the same base setup used in our very first video. The original profit target was set at 30 ticks, or $150 per trade on NASDAQ. But what happens when we increase our target by $100—from 30 ticks to 50 ticks? Watch the video to see what happens.
For NASDAQ, a 30-tick profit target strikes a smart balance between commission costs, fees, and per-trade returns on e-micro contracts. For the S&P 500, consider 12 ticks as a reasonable target. If you’re trading E-mini contracts, you might even lower these targets slightly, allowing for faster entries and exits, with reduced risk exposure.
As for buffer settings:
On NASDAQ, avoid going below 10 ticks. In fact, we recommend increasing it to 20 or even 30 ticks to prevent the algorithm from loading up all positions too early. On the S&P 500, never go below 4 ticks – unless you’re using our specialized ITG Quantum AI version 4, which is designed specifically for ultra-high frequency trading environments. Fine-tuning these values is not about chasing more profit – it’s about finding the balance that matches your risk tolerance, market conditions, and trading goals.
In our final video, we identified the moderate risk setting as the most balanced option among the four configurations tested in earlier videos. We then ran ITG Quantum AI throughout an entire trading week to better evaluate how the strategy and algorithm performed under varying market conditions. Watch the video to discover the final outcome.
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.
ITG Quantum AI is a flexible and powerful trading tool—designed not as a one-size-fits-all algorithm, but as a customizable system that can support many different trading strategies. The first and most important step is determining your available risk capital. The more capital you have, the more strategic options and flexibility you’ll gain. This algorithm was originally built using principles applied by institutional trading firms and investment banks with substantial resources. For retail traders, it’s crucial to find the right balance between acceptable risk and realistic profit expectations.
Although ITG Quantum AI can generate exceptional results, success depends on having a structured and disciplined trading plan grounded in sound risk management. Your plan should include key components such as: your maximum trading risk per account, your daily risk limit, a reasonable daily profit target, the maximum number of open positions your account can handle, your monthly profit goal, and your overall trading objective. The algorithm works best when integrated with our Compound Reinvestment Trading System (CRTS)—a method where you begin with modest targets and reinvest a portion of your profits to gradually scale up both position size and trading volume.
To set up your account properly, consider the following steps:
- Open a trading account with the highest amount of capital you can responsibly afford to risk.
- Limit your maximum risk capital to 50% of your total account balance (never risk your entire equity).
- Define your daily risk limit as 10% of your risk capital or 5% of the total account balance. This will be your maximum allowable daily loss and should be set within the algorithm.
- Set your daily profit target equal to your daily risk limit. While it’s possible to capture large moves—especially in manual mode or during trending markets—it’s wise to start with a 1:1 risk/reward ratio.
- Choose a comfortable number of open positions. You don’t always need to reach the system’s maximum. Great results can often be achieved with 5–10 positions, but the system can scale to 40 or more when necessary.
- Select the right market and contract type—whether it’s E-mini or E-micro contracts, and whether you’re trading the S&P 500, NASDAQ, Dow Jones, Gold, or Crude Oil. Market selection is crucial to your results.
- Set a realistic profit target for each session. This system is designed for quick entries and exits, so aim for consistent, manageable gains. Consider the time of day and volatility—trading conditions vary across the Asian, European, and U.S. sessions.
- Configure proper buffer levels for additional orders. Smaller buffers allow you to accumulate more positions in tighter price ranges, bringing your break-even closer to the current market price. This carries higher risk but can also improve profit efficiency when timed well.
- Always test your settings thoroughly using the Market Replay feature before trading live capital. With consistent testing and adherence to a disciplined plan, many traders find that ITG Quantum AI can reliably meet monthly goals—especially if you aim for at least five more winning days than losing ones each month.
In the next section, we’ll review specific strategy examples that can be applied using ITG Quantum AI, each with its own recommended settings and use cases. These examples are designed to help you choose and refine the right approach based on your goals and trading style.
This is just smal example of what could be done using ITG Quantum AI v. 203. Since all major component of the algorithm could be adjusted based on trader’s risk, account size andThis 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.
THIS MATERIAL DOES NOT CONSTITUTE A SOLICITATION TO ENGAGE IN ANY DERIVATIVES TRANSACTION AND SHOULD NOT BE INTERPRETED AS AN OFFER OR RECOMMENDATION TO TRADE FUTURES, OPTIONS, OR OTHER DERIVATIVE PRODUCTS.
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support@itgedge.com
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