![From Market Makers to Blind Spots [Webinar]](/wp-content/uploads/yootheme/cache/67/From-Market-Makers-to-Blind-Spots-67826e6d.jpg "From Market Makers to Blind Spots [Webinar] 11")
A Timestamped Walkthrough of MenthorQ’s Framework
This webinar was designed to answer a fundamental question many traders struggle with: how do professionals actually think about markets, risk, and execution?
Rather than focusing on one asset or one trade, the session walked through the full MenthorQ framework. It connected options positioning, gamma mechanics, market maker behavior, macro context, and futures execution into a single, coherent process.
What made this session especially valuable was the diversity of perspectives. A former market maker explained how hedging really works. Ryan runs our Volatility Corner webinars. A macro trader showed how cross-asset flows shape markets. A volatility trader walked through structured premium selling. And a futures trader demonstrated how gamma levels can be translated into precise intraday execution using blind spots.
This article explains those ideas step by step, with timestamps tied to the discussion, so readers can clearly follow how the concepts were introduced and applied.
Setting the Agenda and Framing the Goal – From Market Makers to Blind Spots
[1:11 – 3:00]
Fabio opened the session by laying out a clear agenda, the objective was starting from market makers to Blind Spots. The goal was not only to introduce MenthorQ’s tools, but to explain how traders actually use them.
The structure of the session was intentional:
- A high-level overview of MenthorQ and its philosophy
- A product walkthrough focused on accessibility and usability
- A deep dive into market reaction zones and market maker behavior
- Real trading perspectives from macro, options, and futures traders
- A live Q&A to address common misconceptions
This framing made it clear that the session was educational first, not theoretical.
Why MenthorQ Exists: Bridging Institutional and Retail Data
[3:07 – 4:10]
Fabian explained the origin of MenthorQ through his experience in traditional finance, Bloomberg, and alternative data.
The key insight was simple but powerful. Institutions have long relied on quantitative models and derivatives data to make decisions. Retail traders largely do not, not because the data is unimportant, but because it is complex and inaccessible.
MenthorQ’s mission is to take complex options and derivatives data, simplify it, and turn it into actionable information that traders can actually use.
This principle underpins everything discussed later in the session.
Product Walkthrough: Trading Rooms and Data Access
[4:16 – 6:25]
The first practical demonstration showed how traders access MenthorQ’s models through Discord.
Three different trading approaches were highlighted:
- Macro and fixed income analysis
- Structured option selling and premium capture
- Futures trading using gamma levels
Fabian also demonstrated how traders can pull market reaction zones and gamma levels directly from a bot and overlay them onto TradingView charts in seconds. This removed a major friction point for many traders: translating data into execution.
A critical point here was that MenthorQ provides gamma levels for futures, derived from futures options. This is still rare in retail-facing tools and is central to the futures strategies discussed later.
Why Futures Options Matter
[6:37 – 8:03]
The session then shifted into education.
Fabian explained why futures options are increasingly important. While they behave like standard calls and puts, they offer exposure directly to futures contracts, trade nearly 24 hours a day, and allow traders to manage risk more precisely around macro events like CPI or overnight developments.
He also highlighted how futures option chains differ materially from equity index options like SPX, creating unique information that traders can exploit if they understand it.
Market Reaction Zones Explained by a Market Maker
[8:23 – 13:32]
Ryan’s segment was one of the most important educational sections of the webinar.
Drawing on his experience as a derivatives trader and market maker at Deutsche Bank, Ryan explained what actually happens when options trade.
When a market maker sells an option, they are exposed to delta and gamma risk. They hedge that risk using the underlying asset, often futures. The amount they must hedge changes depending on:
- Strike
- Time to expiration
- Implied volatility
- Proximity to the underlying price
As options approach expiration, delta can swing rapidly, forcing aggressive hedging. This hedging activity can either pin price to a level or amplify a move once a level breaks.
This is the foundation of market reaction zones. They are not predictions. They are areas where hedging behavior is likely to change price dynamics.
Ryan emphasized why the term “reaction zone” is superior to traditional support and resistance. The market may stall, reverse, or accelerate at these points depending on dealer positioning.
Translating Gamma Exposure into Usable Levels
[13:39 – 15:40]
Fabian then connected Ryan’s explanation to MenthorQ’s models.
Using net gamma exposure, MenthorQ identifies:
- Core resistance, where call gamma is concentrated
- Put support, where put gamma dominates
- Secondary reaction zones derived from smaller gamma clusters
These levels are plotted directly on charts so traders can see where reactions are statistically more likely.
A live example using ES futures showed how price hit a core resistance level and rotated lower, validating the concept in real time.
Learn how to use the Gamma Levels.
One-Day Expected Move and Risk Framing
[15:45 – 18:02]
The discussion then shifted to risk.
Using options data, MenthorQ calculates a one-day expected move, defining a probable range for the next session. Backtesting on SPX showed that price closed within this range the majority of the time.
This information is not meant to predict direction. It is meant to frame risk. Traders can assess whether the reward they are targeting is worth the risk they are taking.
Ryan reinforced a key professional principle: trading success comes less from being right and more from controlling losses when wrong.
Macro Trading Perspective and Cross-Asset Context
[21:26 – 29:04]
Tim’s segment focused on macro trading.
He explained that macro trades often require being early and uncomfortable. Alpha is created by understanding where consensus is wrong. His work combines:
- Fixed income and bond auctions
- Global flows
- CTA positioning
- Cross-asset correlations
Examples included China equities, oil spreads, copper inflows, and bonds. Tim emphasized how futures options data has improved macro analysis by offering cleaner signals than ETFs.
This segment showed how MenthorQ data fits into longer-term, higher-timeframe decision making.
Structured Premium Selling with Gamma Awareness
[29:45 – 42:05]
Paul’s section focused on selling options premium using iron condors.
He explained how he uses reaction zones to place spreads outside high-probability ranges. His objective is not to predict direction, but to exploit pinning behavior near expiration.
Key principles included:
- Managing each side of a spread independently
- Targeting partial profits rather than maximum gain
- Exiting quickly to reduce time-in-trade risk
- Avoiding high-impact news days like CPI
Paul emphasized that reaction zones act as decision points. If a level breaks decisively, the trade thesis is invalid and risk must be cut quickly.
Futures Trading and the Blind Spot Strategy
[42:58 – 55:18]
Patrick’s segment tied everything together.
As a futures day trader, his challenge was speed. Monitoring multiple correlated assets across different charts slowed decision making.
The blind spot strategy solved this by overlaying gamma levels from correlated instruments (SPX, SPY, QQQ) directly onto the NQ chart. This allowed Patrick to see institutional reaction zones without leaving a single chart.
He demonstrated how price repeatedly reacted to these overlaid levels during real events like PPI and Powell’s speech. This made entries and exits clearer and reduced cognitive load.
Patrick stressed that blind spots are not indicators. They are structural levels derived from where large players are forced to hedge.
Conclusion
This webinar illustrated how modern trading is no longer about isolated indicators or single-asset analysis.
Markets today are shaped by derivatives, hedging flows, and cross-asset interactions. MenthorQ’s framework brings these forces together by translating complex options data into usable reaction zones.
Whether trading macro swings, selling volatility, or scalping futures, the common thread is structure. Traders who understand where pressure builds and releases are better prepared, calmer, and more consistent.
The goal is not certainty. It is alignment with how markets actually work.
Chat with QUIN to continue learning or for help to set up your Trading Strategy.
Webinar Breakdown by Minute
0:00 – 1:11
Audio check and session setup.
1:11 – 3:00
Agenda overview and session objectives.
3:07 – 4:10
Why MenthorQ exists and institutional vs retail data gap.
4:16 – 6:25
Product walkthrough and trading rooms.
6:37 – 8:03
Futures options overview and importance.
8:23 – 13:32
Market maker hedging and reaction zones explained.
13:39 – 15:40
Net gamma exposure and core reaction levels.
15:45 – 18:02
One-day expected move and risk management.
21:26 – 29:04
Macro trading framework and cross-asset flows.
29:45 – 42:05
Iron condors, premium selling, and trade management.
42:58 – 55:18
Futures trading, blind spots, and correlated gamma levels.
55:18 – End
Q&A, implementation details, and closing remarks.
You can follow Patrick by signing up for our Pro sessions. For one to one booking with Patrick or Ryan please email [email protected].