Video summary

Gamma exposure from an Ex Market Maker

Main summary

Key takeaways

Educational

Main ideas, concepts, and lessons

  • Gamma exposure (dealers’ hedging pressure)

    • When retail traders buy options, dealers sell those options and try to avoid directional risk by hedging with futures.
    • Gamma determines how fast the dealer hedge must adjust as price moves.
      • Dealers long gamma: hedging counteracts moves
        • Sell when price rises, buy when it falls → should dampen volatility/moves.
      • Dealers short gamma: hedging reinforces moves
        • Sell on falls, buy on rallies → should amplify moves.
    • From the options chain, the speaker constructs key price levels where dealer gamma behavior changes:
      • Call Wall (major positive gamma above spot): highest strike above the current price with the most positive dealer gamma.
      • Put Wall (major negative gamma below spot): analogous level on the downside.
      • Gamma Flip: the price where net dealer gamma crosses zero (above it dealers tend to “come with the market,” below it they “amplify,” per the speaker’s framing).
      • Centroid: a gamma-weighted average price (speaker claims it usually hugs spot because most gamma sits near at-the-money).

  • Common retail beliefs are unproven (and may be wrong)

    • Retail framing mentioned:
      • “Walls are magnets” → fade them:
        • Long on/after touching put wall, short on/after touching call wall.
      • “Gamma flip is a regime line” → fade based on side:
        • Above flip: “safe,” below flip: “sell.”
      • Some services reportedly confuse the centroid with the gamma flip.

  • Goal of the study

    • The speaker performs a 3-year backtest (built from row option data) to test these beliefs with no look-ahead bias.
    • Trades are evaluated against a baseline: simply holding NQ (NASDAQ futures) for the same time window.

Data, methodology, and test setup (detailed)

Data construction

  • Market: NASDAQ index options (NDX) using zero DTE options
  • Time granularity: 1 value per minute
  • Period: Apr 3, 2023 → Jul 7, 2026
    • 820 trading sessions
  • Dataset scope: NASDAQ regular trading hours only
  • Inputs: “row options data,” using volume traded within each minute
  • No look-ahead bias: levels computed from data available at each minute

Trading rule template used in tests

  • Signal holding period: 15 minutes for early tests
  • Execution/exit:
    • Enter at/after the signal condition
    • Hold exactly 15 minutes
    • No stop-loss
    • No take-profit
  • Trade sizing:
    • Research uses one contract
  • Performance baseline
    • “Test mode 1”: no gamma signal
    • Buy NQ, hold 15 minutes, sell, and immediately buy back—effectively slicing the day into 15-minute bars
    • Purpose: measure zero-intelligence drift for those intervals

Baseline result (must be beaten)

  • Average profit per 15-minute slot: $4.71

Backtest results by tested concept

1) Gamma Flip treated as a regime line (fade above/below)

Retail belief tested

  • Long above flip
  • Short below flip

Result

  • Average trade: +$0.56 over ~18,800 trades
  • Interpretation by speaker: essentially a coin flip
  • Why: both sides drifted upward in their measurement:
    • Above flip drifted up +$2.90
    • Below flip drifted up +$6.87
  • Conclusion: the side (“above vs below”) is not the useful variable.

2) Gamma Flip as a trigger (trade when crossing happens)

Refinement

  • Instead of asking which side you are on, the strategy responds to the moment the price crosses the flip.
  • The speaker reports profits on both long/short sides depending on crossing direction.

Result

  • Average trade: +$33.22 over ~3,400 trades (~7× baseline)
  • “Crossing direction” outcomes:
    • Short-side trades (crosses below, shorting) averaged +$27 per trade even though the market uptrend context is mentioned.
  • Conclusion: flip crossing has predictive value and behaves like a trigger, not a regime line.

3) Call Wall tested as a level to fade (sell on touch / buy on touch directionally)

Belief

  • “Price gets rejected there” → sell on touch (for call wall), follow the fade logic.

Result

  • Trying to fade the call wall yields -$39.82 (loss)

Alternative test (follow/fight the fade)

  • If direction is reversed (going long if touch call wall, per the speaker’s framing), there is “intrinsic value.”

Verdict

  • Do not fade the call wall.
  • Treat it more like a milestone and follow it.

4) Put Wall tested as “fade on touch”

Belief

  • Similar “follow the break / don’t fade” logic was evaluated.

Result

  • Average profit: +$13.12
  • Characterized as positive but weak
  • Reason given: zero DTE put book is thin, and the put wall level is “jumpy” across strikes intraday.

Verdict

  • Don’t build a standalone strategy that sells the put wall by itself.

5) Centroid treated as a trade signal (confused with gamma flip by some services)

Belief tested

  • Some services sell the centroid as if it were the gamma flip.
  • Strategy tested: “short below centroid, long above centroid.”

Result

  • Average trade: about +$3 (below the baseline of $4.71)
  • The split behavior is opposite what a true gamma-flip effect would show.
  • Speaker also says above centroid: it keeps rising; below: “nothing happens.”

Verdict

  • Centroid is not a reliable signal.

Unified conclusion from comparisons

  • Across walls, flip, touches, the speaker’s key pattern is:
    • Events at gamma levels (crossing/touch) behave like continuation signals, not mean-reversion/fading signals.
  • Fading works only later:
    • The “snap back” that fade traders expect is real, but it arrives after continuation.
    • Therefore fading is often too early, producing losses.
  • There is a time/continuation plateau:
    • After a gamma flip crossing, continuation pays out for roughly ~50 minutes, not just 15.

Best surviving configuration (“the rule”)

Signal concept

  • Gamma flip crossing is the surviving edge.

Refinements

  1. Cluster crossing rule

    • Flip crossings occur in clusters (multiple quick crossings).
    • The speaker claims:
      • Only the first crossing in a cluster matters
      • Later repeats are noise and can lose money.
    • Implementation refinement mentioned:
      • Add a ~35-minute lookout after exiting to avoid reacting to immediate re-crosses.

  2. Hold time

    • Change from 15 minutes to 50 minutes.

Full rule described

  • When price crosses the gamma flip:
    • Enter in the direction of the crossing
    • Exit 50 minutes later
    • After you exit, wait 35 minutes
    • If the flip crosses again after that waiting window, open a new position

Reported performance (research configuration)

  • Average: +$99 per trade
  • After real costs:
    • Costs: ~$19 per round trip
    • Net: ~+$80 per trade
  • Scale claim:
    • “$122,000” and “neck on one contract” are mentioned (wording unclear), but overall the strategy is stated to be profitable over the sample.
  • Works in:
    • Both halves of the sample
    • On both long and short sides

Important caveat on robustness/shape

  • Not smooth:
    • 2023 (speaker calls it “quietest year”) is reported as negative
    • “Panic months” are described as tricky because the flip may cross violently in both directions, making the timing/cluster logic crucial.

Operational takeaway (critical constraint)

  • The speaker emphasizes that the edge is concentrated:
    • Top 10 trades = 55% of profit
    • Top 20 trades = 90% of profit
    • Removing the 20 best trades from ~1,500 trades results in no strategy performing after costs.
  • Therefore:
    • You must execute every signal
    • Cannot trade it manually “by feel”
    • Cannot skip mornings
    • It must be automated or it’s “not worth trading.”

Speaker’s final framing

  • This is not presented as a final production strategy, but as a research configuration:
    • Fixed hold (50 min), no stop, no take profit
    • One contract
  • Claimed implication:
    • Since the signal is repeatable and measurable, a true deployable edge could be built by adding:
      • Position sizing
      • Proper profit/stop logic
  • Availability:
    • The speaker says the full research paper, code, and limitations will be provided soon via an “institutional protocol” for replication.

Speakers / sources featured

  • Speaker: Monti
    • Identified as a former/active market maker for 7 years, running a hedge fund and automating strategies.
  • Data source / inputs (as referenced):
    • Row options data (minute-by-minute)
    • Zero DTE options on NDX
    • NASDAQ futures (NQ) baseline and NASDAQ index chain for execution context
  • External references (mentioned, not validated):
    • “Retail platforms” and “retail trading influencers” (beliefs like fading walls and flip-as-support), but no specific names are provided.

Original video