Blind Spots Levels

Blind Spots are specific price zones where the market is likely to react sharply, but these zones aren’t always obvious from standard charts. They arise because markets are interconnected, and price movements in one asset can influence others in subtle ways.

In the financial markets, understanding how different assets interact is crucial for making decisions. At Menthor Q, we’ve developed the concept of Blind Spots Levels to help traders identify overlooked areas of market movement—those hidden signals that can help confirm a market reaction zone and solidify your trading plan.

These are not your standard support or resistance levels — they’re derived from our proprietary models that combine options positioning, gamma exposure, and volatility structure.

Blind Spots are available on various assets. We have Blind Spots for Futures, Indices and ETFs, Forex Pairs and major stocks like Mag 7.

Check out the full video tutorial.

Why are they Relevant?

Blind Spots are relevant because they reveal what most traders can’t see:

• They often mark liquidity voids or hedging pressure zones.
• When price hits these areas, market makers may need to adjust positions, triggering sharp moves.
• Retail traders typically have no visibility on these levels, so spotting them gives you a true information edge.

In short — Blind Spots help you avoid trading straight into a trap, and position yourself where the market is most likely to react.

Blind Spots Methodology

Let’s explore the three critical data inputs and why each is essential:

1. Options Positioning. Options markets reflect sophisticated trader sentiment and expectations. By analyzing net buying and selling pressure—we gain insight into where large players are positioning themselves. This reveals potential areas of support or resistance that may not be visible in the underlying asset’s price alone. Options positioning highlights where market participants are ‘putting their money,’ signaling zones of likely price interest.

2. Momentum. Momentum measures the strength and direction of price movement. Detecting momentum divergence—when price moves contradict momentum indicators—can signal weakening trends or impending reversals. Incorporating momentum helps the model identify when price is vulnerable to sharp moves, even if traditional patterns aren’t present. This dynamic aspect ensures Blind Spots reflect not just static price levels but evolving market conditions.

3. Asset Correlation. Markets are interconnected; assets rarely move in isolation. By analyzing cross-asset correlations, the model captures how price movements in one asset influence others. For example, a shift in a major commodity or currency can ripple through related stocks or indices. This broad perspective uncovers hidden signals from correlated assets that impact the target asset’s price, enriching the Blind Spots with multi-market context.

By combining options positioning, momentum, and asset correlation, the Blind Spots Models create a comprehensive, data-driven view of where market reactions are most likely. This unique integration reveals ‘blind zones’—areas where trader expectations, price dynamics, and cross-market influences converge—offering traders a powerful edge.

Markets don’t move in isolation. Many assets are highly correlated — meaning their prices tend to move together because they share common drivers like macro conditions, interest rates, or sector flows.

Understanding these relationships allows you to:

• Improve Trade Timing
• Increase Confidence in Trades
• Reduce Risk

For example:

• SPX futures are correlated with major ETFs like SPY or QQQ.
• NASDAQ futures track closely with large-cap tech leaders like AAPL, MSFT, or NVDA.
• Even BTC futures can show short-term correlation with high-beta equities in risk-on environments.

How to use Blind Spots Levels

You can use Blind Spots in multiple ways:

• As Target Zones: If you’re already in a trade, Blind Spots are natural areas to take partial profits or tighten stops.
• For Entries: When price approaches a Blind Spot in line with your bias, it can be a great place to position for a reaction.
• For Risk Control: Avoid opening new trades directly into a Blind Spot if it’s against your direction — you’re walking into possible volatility.
• For Confluence: Combine Blind Spots with Q-Score, Gamma Levels, or your own technical zones to increase conviction.

Blind Spots BL 1 to BL 10

The Blind Spots Model finds zones where price levels from multiple correlated assets overlap, creating clusters of potential market reaction points. These zones are ranked from BL 1 to BL 10 based on the number of overlaps:

• BL 1 → The strongest cluster, with the highest number of overlapping price levels, often signaling a higher likelihood of notable price reactions.
• BL 10 → Fewer overlaps, meaning it may attract less immediate attention, but can still trigger meaningful market moves.

Important: The ranking is a measure of overlap density, not a measure of certainty or importance. A BL 10 can be just as critical as BL 1 if market conditions align—especially when macro drivers, options positioning, or momentum shifts coincide with that zone.

Blind Spots Levels on Futures

Let’s see how a trader can use the Blind Spots Models on futures like the E-mini S&P 500 (ES) and Nasdaq 100 (NQ) futures to identify actionable zones:

The model analyzes options flow on correlated assets to detect where large traders are placing significant bets—whether bullish or bearish. This options activity reveals hidden market expectations beyond what price alone shows.

For example, ES (E-mini S&P 500) and NQ (E-mini Nasdaq 100) are highly correlated with other assets like MAG7 companies, gold prices, VIX, crude oil and even bitcoin, and their price movements often influence each other. 

By combining options positioning, momentum, and cross-asset correlation, the Blind Spots Models provide a multi-dimensional view that helps futures traders anticipate where sharp price moves are most likely—offering a powerful edge in fast-moving markets.

Blind Spots Levels on Forex

Forex markets present unique challenges: they are highly fragmented, operate over-the-counter (OTC), and lack a centralized exchange, which makes price discovery and data transparency more complex than in equities or futures markets.

The Blind Spots Models adapt to these characteristics by leveraging a combination of diverse data sources and advanced analytics:

• Options Positioning in Forex includes analyzing currency futures options flow, capturing where large players are positioning despite the market’s decentralized nature.
• Momentum indicators are applied to spot shifts in price trends across multiple Forex pairs, helping detect early signs of weakening or strengthening momentum even in fast-moving, liquid markets.
• Cross-Asset Correlation is especially valuable in Forex, as currency pairs are inherently linked through economic relationships and global capital flows. The model examines correlations not only between currency pairs but also with related assets like commodities and interest rates, uncovering hidden influences.

By integrating these inputs, the Blind Spots Models identify actionable zones where price is likely to react sharply, overcoming Forex’s fragmented structure. This approach provides traders with clearer signals in a market where traditional tools may struggle to capture the full picture.

Blind Spots Levels on Stocks

Blind Spots Levels are now available on Stocks. We focus on MAG7 and we will expand this in the future.

• Options-Driven Risk Mapping: Reveals risks from options hedging flows, not just price/volume.
• Hidden Liquidity Zones: Highlights fragile zones where prices can slip faster.
• Stock-Specific Analysis: Each stock has unique Blind Spots based on its options surface.
• Dynamic & Adaptive: Levels recalculate daily with flows, expiries, and events.
• Simplifies Complexity: Turns complex options positioning into clear, visual zones.