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MenthorQ has released version 3.0 of its options trading platform, introducing a series of major upgrades aimed at helping retail traders analyze markets more efficiently. In this interview, founder Fabio Ruggeri explains the thinking behind the redesign, demonstrates several of the platform's most important new features, and discusses how traders can build a more effective research workflow.
Learn about MenthorQ 3.0 in this video
From market data to trading decisions
Rather than focusing on individual features, Ruggeri describes MenthorQ 3.0 as a complete redesign of the trading workflow.
His goal is to reduce the time it takes traders to move from collecting information to making trading decisions. Instead of switching between charting software, options analytics, news feeds and AI tools, MenthorQ aims to bring everything together in a single platform.
According to Ruggeri, many retail traders already have access to large amounts of information. The challenge is turning that information into actionable insights before market conditions change.
What is MenthorQ?
MenthorQ was created to make institutional-style market analysis available to retail traders.
Drawing on his experience working at Bloomberg, Ruggeri explains that institutional traders have long had access to sophisticated data and analytical tools that were difficult for retail traders to obtain. MenthorQ attempts to bridge that gap by combining options analytics, market structure, volatility analysis and artificial intelligence into one research platform.
The platform is aimed at active traders across several markets, including options, futures and equities.
MenthorQ
offers institutional quant data for retail traders. The newly launched 3.0 version has added real-time gamma levels for futures, better charting, backtesting of gamma, enhanced AI power, and more.
A redesigned workflow for options traders
One of the main themes throughout the interview is workflow.
Instead of opening several different applications before placing a trade, traders can now perform much of their pre-market analysis within MenthorQ itself.
A typical workflow might include:
- Reviewing overnight changes in SPX, QQQ and futures positioning
- Monitoring live gamma levels
- Viewing price action directly on integrated charts
- Backtesting important gamma levels
- Using AI to summarize market conditions and identify trade ideas
The objective is not simply to provide more data, but to organize it in a way that helps traders make faster and more informed decisions.

Real-time gamma levels on futures
One of the flagship additions in MenthorQ 3.0 is real-time gamma levels for futures markets.
MenthorQ has previously offered gamma analysis on stocks and indices. Version 3.0 extends this capability to futures by analyzing options data from CME exchanges.
Coverage now includes products such as:
- ES
- NQ
- Crude Oil
- Gold
- Silver
- Forex futures
- Agricultural futures
The data updates every five minutes, allowing traders to monitor changes in dealer positioning throughout the trading session.
For SPX traders, Ruggeri explains that following futures positioning can provide additional context before and during the trading day.
Integrated TradingView charts
Another significant enhancement is the addition of TradingView charting directly inside MenthorQ.
Instead of using TradingView separately, traders can now view proprietary MenthorQ indicators on fully integrated charts.
These include:
- Gamma levels
- Q Score
- Volatility indicators
- Market structure data
Because the charts are integrated into MenthorQ's own infrastructure, the proprietary indicators update automatically throughout the day.
Backtesting gamma levels
Perhaps the most unique addition demonstrated during the interview is the new gamma level backtesting tool.
Rather than simply identifying support and resistance levels, traders can now evaluate how those levels have performed historically under similar market conditions.
For each level, the platform displays statistics such as:
- Historical success rate
- Probability of holding
- Average move when the level breaks
- Worst historical outcome
Ruggeri explains that this information can help traders size positions, choose strike prices and manage risk more effectively.
For strategies such as credit spreads and iron condors, understanding the historical behavior of key gamma levels may provide additional confidence before entering a trade.
MenthorQ
offers institutional quant data for retail traders. The newly launched 3.0 version has added real-time gamma levels for futures, better charting, backtesting of gamma, enhanced AI power, and more.
Quinn AI becomes more powerful
MenthorQ's AI assistant, Quinn, has also received a substantial upgrade.
Rather than functioning as a generic chatbot, Quinn is connected directly to MenthorQ's proprietary data and analytical models.
During the demonstration, Ruggeri shows how Quinn can:
- Analyze current market conditions
- Summarize changes in options positioning
- Explain shifts in gamma exposure
- Build trading roadmaps
- Suggest potential trade ideas based on market data
The AI also incorporates real-time market news into its analysis, giving traders additional context for market movements.
How Fabio Ruggeri uses MenthorQ 3.0
Towards the end of the interview, Ruggeri walks through his own daily workflow.
He typically begins by reviewing overnight futures activity before the U.S. market opens. From there, he compares futures positioning with SPX and QQQ, studies the probability of key gamma levels holding using the backtesting tool, and finally uses Quinn to review news and identify potential opportunities.
For his own trading, he primarily looks for swing trades lasting between five and twenty days.
The biggest takeaways
When asked to summarize the most important developments in MenthorQ 3.0, Ruggeri highlights three key areas:
- Real-time gamma levels on futures
- Gamma level backtesting
- Expanded AI capabilities through Quinn
Combined with integrated charting and a redesigned workflow, these features represent the largest update MenthorQ has released since the platform launched.
For retail options traders who rely on market structure, volatility and options positioning in their trading decisions, MenthorQ 3.0 aims to bring those tools together into a single, streamlined research environment.





