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When the Swing Model meets the Q-Score, it’s not just about finding trades—it’s about finding the right trades with conviction.
In trading, having a powerful model is only half the battle—the real proof comes when you put it to the test. At MenthorQ, we designed our Swing Trading Model to identify high-probability price levels and risk boundaries over 5- and 20-day horizons. But to truly validate its edge, we paired it with our proprietary Q-Score. This combination of the Swing Model and Q-Score is essential for effective trading strategies.
In this post, we’ll take you behind the scenes of our backtesting process. You’ll see how the Swing Model performs across different market regimes, how Q-Score filtering impacts win rates and drawdowns, and why this combination can give traders a more disciplined, data-driven approach to capturing swing opportunities.
For instance, let’s consider a hypothetical scenario where the Swing Trading Model was tested against the market downturn in early 2020. By analyzing the results, traders could identify that their model effectively minimized losses during the downturn, thus showcasing its robustness.
The importance of backtesting in trading cannot be overstated. Backtesting allows traders to simulate their trading strategies using historical data, which helps in understanding how a strategy would have performed in real market conditions. This process not only builds confidence in the model but also aids in uncovering potential weaknesses or areas for improvement.
Understanding the connection between the Swing Model and Q-Score provides traders with valuable insights into market dynamics.
We covered this Live in a Video.
Backtesting Assumptions:
Level Date: 07/25/2025
We trade the Stock at the open of Monday 07/28/2025
We close the trade at the close of Friday 08/01/2025
Strategy 1: Directional Trading
If Bias is Bearish we go short at the open of monday and exit on friday
If Bias is Bullish we go long at the open of monday and exit on friday
As a baseline we start from our Swing Trading Model and run it on our asset coverage. Below we can see the success rate of our two strategies.
Swing Model and Q-Score Backtesting August 2025 14
Swing Trading Model + Q-Score Options and Momentum
Next, we add the Q-ScoreOptions and Momentum, which tracks options market sentiment and positioning.
Moreover, providing transparency in backtesting results is essential. Traders should be able to access detailed reports that outline the assumptions made during the testing, including entry and exit points, stop losses, and the criteria used for selecting trades. This transparency builds trust and encourages a disciplined approach to trading.
When evaluating the Swing Trading Model, it’s beneficial to compare it with other models prevalent in the market. By juxtaposing different strategies, traders can gain insights into the unique advantages and potential drawbacks of the Swing Trading Model, enhancing their decision-making process.
We will filter out these 904 companies and only trade by adding a filter using our Q-Score Options + Momentum.
We only take Bullish trades if the Q-Score Options and Momentum = 5
We only take Bearish Trade if the Q-Score Options and Momentum is lower than 1
Here are the backtesting results:
Swing Model and Q-Score Backtesting August 2025 15
Swing Trading Model + Q-Score Momentum and Seasonality
In addition to analyzing performance metrics such as win rates and drawdowns, it’s crucial to consider how external factors like market news, economic events, and publication of earnings reports can impact trading outcomes. A well-rounded backtesting strategy should incorporate these variables to simulate a more accurate trading environment.
We then added another tilt by using Momentum and Seasonality Scores.
We only take Bullish trades if the Q-Score Momentum = 5 and Q-Score Seasonality >2
We only take Bearish Trade if the Q-Score Momentum is lower than 1 and Q-Score Seasonality is <1
Here are the backtesting results:
Swing Model and Q-Score Backtesting August 2025 16
In our analysis, we also emphasize the significance of continuously monitoring and updating trading models. As market conditions evolve, strategies that were previously effective may become less reliable. Regularly revisiting the model and its performance enables traders to adapt to changing environments, ensuring ongoing effectiveness.
Swing Trading Model + Q-Score Options, Momentum and Seasonality
The last tilt is by combining the 3 Scores: Options, Momentum and Seasonality.
We only take Bullish trades if the Q-Score Options >4, Q-Score Momentum = 5 and Q-Score Seasonality >2
We only take Bearish Trade if the Q-Score Options and Q-Score Momentum is lower than 1 and Q-Score Seasonality is lower than -1
Here are the backtesting results:
Swing Model and Q-Score Backtesting August 2025 17
This step-by-step strategy framework gives you a scalable approach to building high-conviction setups with data. Ultimately, integrating the Swing Model and Q-Score into your trading strategy can lead to more informed decisions and greater profitability.
As you continue your trading journey, remember that education, practice, and adaptation are key components of success. Embrace the tools at your disposal and leverage the insights gained from backtesting to refine your strategies over time. The world of trading is ever-evolving, and those who remain committed to learning and improvement will find the most success.
Furthermore, traders should consider the psychological aspect of trading. Emotional decision-making can lead to impulsive trades that deviate from the model’s guidelines. Incorporating discipline and emotional management techniques into trading practices can significantly improve adherence to the model, leading to better long-term results.
Finally, community engagement among traders can provide valuable support and sharing of insights. By discussing experiences and strategies with peers, traders can enhance their understanding and application of the Swing Model and Q-Score, gaining perspectives that may lead to improved trading outcomes.
In conclusion, the combination of the Swing Trading Model and Q-Score offers a comprehensive approach to trading that leverages data-driven insights. By adopting a disciplined, methodical approach to backtesting and strategy execution, traders can enhance their chances of success in the dynamic world of trading.
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