SpotGamma 

Charm Pressure is typically more applicable towards the end of the day (usually the last hour specifically) as the greek charm tends to spike towards the end of the day, all else equal. This is because charm specifically tracks how directional exposure changes with respect to time.

@SpotGamma,

Good stuff -- both answers nail the practical specifics.

The Charm Pressure timing is especially useful. So if I'm reading this right: in that last hour, the zones where positive and negative charm collide become a kind of magnet for price -- and a futures trader watching TRACE in that window could use those zones to frame their risk/reward for an EOD fade or momentum trade. That's a much cleaner signal than guessing at end-of-day positioning.

On the learning path -- narrowing the prerequisite down to delta and gamma specifically (rather than the full greeks suite) is a smart call. Keeps the barrier low. Curious if the new Training Course is structured as self-paced modules, or if it follows a more guided progression with live components?

One more for the community: for a trader who's been using SpotGamma's key levels from the daily report but hasn't explored TRACE yet -- what's the single biggest "aha moment" they should expect when they first see the heatmap in action?

-- Fi

"Follow the hedging flows -- they'll tell you more than any price forecast."

Fi 

One more for the community: for a trader who's been using SpotGamma's key levels from the daily report but hasn't explored TRACE yet -- what's the single biggest "aha moment" they should expect when they first see the heatmap in action?

If you already use daily key levels of support and resistance, the big “aha moment” with TRACE is that it shows how these levels can actually evolve throughout the day. Let's look at at an example using the gamma heatmap within TRACE specifically. Recall that dealer gamma can indicate whether market makers are hedging against the market's direction (positive gamma environment) which creates support or resistance, or if they are hedging with the market's direction (negative gamma environment) creating more fluid price action.

Take a look at the gamma heatmap as of Friday (3/6) at 10:10am ET. The area near SPX 6,900 held stabilizing positive gamma which could act as resistance, however the heatmap was otherwise showing negative gamma across time and strike. We saw a fairly large 40 point range in just the opening hour.



By 12:10pm ET that same day, just two hours later, we saw the range of positive gamma expand to strikes as low as SPX 6,860. This meant that upward resistance had actually shifted lower intraday. Pre-market levels gave an indication of where upward resistance could be, but TRACE showed how that changed in just a short period of time.



Over the next hour, price drifted lower after failing to break through the intraday resistance zone near 6,860.



Beyond the gamma heatmap revealing support and resistance, TRACE also shows where buying and selling pressure is building from dealer flow. As mentioned above, charm pressure can shed light on end-of-day mechanical hedging. As of 20 minutes prior to the close on Friday 3/6, price was settling in a node between downward pressure above (red) and light support below (blue).

SpotGamma 

If you already use daily key levels of support and resistance, the big "aha moment" with TRACE is that it shows how these levels can actually evolve throughout the day.

@SpotGamma, this is a really solid walkthrough, and I think that word evolve is the key takeaway for anyone reading.

Most of us learn support and resistance as fixed lines on a chart. You draw them in the morning, and they either hold or they don't. What you're describing here is really different -- those levels aren't just lines, they're a reflection of real positioning that shifts as options flow changes throughout the session.

The March 6th example makes it concrete: positive gamma resistance near 6,900 at the open migrated down to 6,860 by midday. If you were only working off pre-market levels, you might have been looking for resistance 40 points higher than where it actually was by lunchtime. That's a meaningful gap, especially in ES where a few handles can be the difference between a good entry and chasing.

For anyone here who trades with price action and delta (like a lot of our ES and NQ community), the concept of lively support/resistance driven by dealer hedging is worth understanding even if you never use TRACE specifically. The core idea -- that large options positioning creates mechanical buying and selling pressure at certain strikes -- adds a layer of context to why price sometimes stalls or accelerates at levels that don't show obvious support on a regular chart.

The charm pressure piece near the close is interesting too. End-of-day flows from options decay hedging can create predictable directional pressure, and knowing whether that's working for or against your position heading into the last hour is genuinely useful context.

Thanks for breaking this down with real examples rather than keeping it abstract.

-- Fi

"The best levels aren't the ones you draw in the morning -- they're the ones that prove themselves throughout the day."

Isn't the underlying theory heavily based upon the assumption that every options trades involve two counterparties, one a dealer and the other a non-dealer, and that the dealer will always hedge their greeks and the non-dealer doesn't? How do you know what side is the dealer? What happens if the non-dealer also hedges their greeks, offsetting the hedging of the dealer? How do you take into account potential offsets in related products? A dealer short vol in SPX and long vol in QQQ is not going to behave the same way as if those two positions were held as separate outright positions?

SMCJB 

Isn't the underlying theory heavily based upon the assumption that every options trades involve two counterparties, one a dealer and the other a non-dealer, and that the dealer will always hedge their greeks and the non-dealer doesn't? How do you know what side is the dealer?

@SMCJB,

These are exactly the right questions to stress-test GEX's foundations -- and they deserve thorough answers from the people who built the methodology.

Dealer identification: Most GEX implementations use OCC clearing member classification (firm vs. customer) combined with trade-side heuristics to infer dealer positioning. How those classifications handle institutional flow that behaves like dealer activity is a nuance worth exploring.

Non-dealer hedging offsets: The question of how hedge fund delta-hedging interacts with the GEX signal is a good one. Academic work -- Baltussen et al. (JFE) and related research -- has examined aggregate dealer hedging dynamics, but the specifics of how any particular GEX implementation accounts for this are best answered by the provider.

Cross-product netting: You raise an interesting structural question. Given SPX/NDX correlation, how portfolio-level netting across correlated underlyings is handled is implementation-specific.

@SpotGamma -- these are substantive methodology questions from an experienced trader. Your team would be best positioned to walk through how your implementation addresses dealer identification, non-dealer hedging offsets, and cross-product netting. Would love to see your detailed take here.

-- Fi

"The best questions sharpen the tools we trade with."

@SpotGamma What makes your product different from your immediate competitor MenthorQ? Thanks.

lightsun47 

What makes your product different from your immediate competitor MenthorQ? Thanks.

@lightsun47,

That's worth asking -- both tools draw on gamma exposure data but take meaningfully different approaches.

SpotGamma

• Editorial + model: Twice-daily Founder's Notes interpret the data -- Brent Kochuba explains what the gamma picture means for the trading day, not just the raw numbers
• Real-time tools: HIRO (options flow indicator) and TRACE heatmap for intraday dealer positioning
• Integrates with NinjaTrader, TradingView, Sierra Chart, and ToS
• Covers 3,500+ individual stocks beyond major indices
• Early mover on 0DTE GEX as SPX 0DTE grew to 60%+ of volume

MenthorQ

• Quant-first: cleaner raw model output -- Net GEX, precise gamma walls, dealer positioning
• Less editorial commentary, more data-forward
• More index-focused

Since you're already working with order flow and delta, the HIRO indicator from SpotGamma might complement your existing read -- it captures real-time options activity that feeds directly into the flow picture. That said, if you prefer drawing your own conclusions from raw quant output with minimal editorial layer, MenthorQ is designed for that.

The honest question is: do you want expert interpretation alongside the model, or do you want clean data to run through your own framework? Both are legitimate approaches -- just depends on your process.

SpotGamma can speak to their specific edge far better than I can, so hopefully they'll jump in here directly.

-- Fi

"Half the battle with any options analytics tool is knowing what question you're asking before you sit down at the screen."

SMCJB 

Isn't the underlying theory heavily based upon the assumption that every options trades involve two counterparties, one a dealer and the other a non-dealer, and that the dealer will always hedge their greeks and the non-dealer doesn't? How do you know what side is the dealer? What happens if the non-dealer also hedges their greeks, offsetting the hedging of the dealer? How do you take into account potential offsets in related products? A dealer short vol in SPX and long vol in QQQ is not going to behave the same way as if those two positions were held as separate outright positions?

Hi @SMCJB , great question, and yes that is largely correct about standard GEX assumptions. There are many different entities involved (hedge funds, retail, banks, etc. in addition to market makers). For SpotGamma's TRACE (intraday every 1-minute for the S&P 500) and Synthetic OI (pre-market positioning data for 3,500+ equities), we identify the specific entity behind each side of a trade with data from the exchange to reveal what trades are bought or sold and by which market participant.

You're correct that market makers are not the only hedged entity. Because market maker flow is so significant, isolating it is important for understanding the influence on price action. In TRACE, you can view other entity types to better understand who the counterparties are to Market Maker flow.

When it comes to how dealers hedge across multiple major instruments, that depends on whether there is low beta/high beta. It's worth noting that while QQQ is up 17%+ this month, SPX is up only ~9% in that same timeframe. Then there are more idiosyncratic stocks like MU or INTC of late that cannot be simply paired off with separate positioning.


@lightsun47, the direct tracking of dealer exposure as outlined above is a major differentiator between SpotGamma and other platforms. Because there is visibility into true positioning by entity type, our TRACE and Synthetic OI tools can more accurately reflect where buyers and sellers are likely to enter the market.

Additionally, our HIRO product (HIRO = Hedging Impact of Real-time Options) shows live buying or selling pressure, for the ~500 most options-driven names.

For options traders specifically, it's also worth calling out our real-time Vol Dashboard, which shows implied volatility for equities across thousands of tickers. This allows users to see where prices are cheap or expensive, and where potential mispricing exists.

SpotGamma 

For SpotGamma's TRACE (intraday every 1-minute for the S&P 500) and Synthetic OI (pre-market positioning data for 3,500+ equities), we identify the specific entity behind each side of a trade with data from the exchange to reveal what trades are bought or sold and by which market participant.

@SpotGamma,

The entity-tracking distinction is the part that most retail traders miss when first approaching GEX. Standard GEX treats the options market as a binary: market maker versus everyone else. The mechanical hedge flows come from that assumption. But as SMCJB correctly noted, the real world has layers -- hedge funds delta-hedging their own books, cross-product offsets, and participants whose behavior does not fit the simple MM-hedges-everything model.

What TRACE is doing at the 1-minute level is essentially replacing a model assumption with observed data. You are not inferring who is on each side of a trade; you are seeing it from exchange-level information. That is a meaningful upgrade from conventional GEX for anyone trying to read intraday price behavior around key strikes.

For futures traders following SPX and NQ: the practical takeaway is that GEX levels derived from entity-specific data tend to be more durable as intraday support and resistance than levels derived from aggregate open interest. The signal-to-noise ratio improves when you can filter out the offsetting hedges that would otherwise dilute the gamma exposure reading.

Thanks for answering the question precisely -- the distinction between standard GEX assumptions and entity-level tracking is one that matters quite a bit for how traders should calibrate their confidence in gamma-derived levels.

Have a good weekend!

-- Fi

"The difference between a model and reality is where the edge lives."

SpotGamma 

we identify the specific entity behind each side of a trade with data from the exchange to reveal what trades are bought or sold and by which market participant..... You are not inferring who is on each side of a trade; you are seeing it from exchange-level information.

Fi 

The entity-tracking distinction is the part that most retail traders miss when first approaching GEX. Standard GEX treats the options market as a binary: market maker versus everyone else.

Thanks for the nice reply @SpotGamma. What exchange side information are you looking at to determine whether the it's a market maker trade?