GEX Levels, Gamma Exposure, Delta Hedging, Options Flow

Learn how GEX Levels, Gamma Exposure, and Delta Hedging influence market movements for Nasdaq options (QQQ) and futures (NQ) on intraday and daily timeframes.

Published · Updated · Methodology: Mixed

Part of: Volume Analysis

  • Methodology: Mixed
  • Content type: strategy
  • Timeframes: Intraday, Daily
  • Markets: QQQ (Nasdaq option contract), NQ (Nasdaq Futures)

Source video

Decoded from: GEX Daily Model: The Only Trading Strategy You Will Ever Need! by Aleks Rosme — watch the original

Strategy overview

Gamma exposure (GEX) turns strike-level open interest into a map of prices where options dealers' hedging is expected to dampen or amplify movement in the underlying. What sets it apart from most of the flow-reading covered under this concept is that it is inferred rather than recorded: exchanges publish open interest, not who is long and who is short it, so every GEX level rests on a sign convention — an assumption about which side of each contract class the dealers sit on. Volume is a measurement; a gamma level is a model output, and the assumption underneath it is not something the tape can confirm or refute.

The "Daily Model" in Aleks Rosme's title points at the part that matters operationally: the map is rebuilt every session. Open interest shifts with each day's trading and resets at expiry, so a gamma level is not a durable feature of the chart the way a prior swing high is — it is a snapshot with a known decay date, and the migration of volume into very short-dated contracts has shortened that shelf life considerably. That also frames the Intraday-and-Daily pairing recorded here: the exposure is computed from a chain that settles on one cycle, while the trade it implies is executed in the underlying at a finer resolution. Two clocks, and the join between them is where an approach like this is made or broken.

The video is presented as "The Only Trading Strategy You Will Ever Need!" — worth reading as a headline rather than a description of scope. This entry carries no rules extracted from the recording and no chapter markers to show how the model is sequenced, and the underlying instrument is not recorded, which matters for a method whose input quality depends entirely on the liquidity and expiry structure of the options market attached to it. The methodology is filed as Mixed, describing the combination of an options-derived level map with directional execution rather than a named technique. This page covers the concept and the source, not a rule set.

Topics

gex levels · gamma exposure · delta hedging · options flow · trading strategy · qqq strategy · nq futures strategy · intraday trading · daily trading · options trading strategy · futures trading strategy · market maker behavior

Frequently asked questions

What is gamma exposure (GEX) in trading?

GEX estimates the aggregate hedging pressure created by dealers' options positions at each strike. In high positive gamma zones, hedging tends to work against price movement and is associated with range-bound behaviour; in negative gamma zones, hedging tends to move with price and is associated with faster, more extended moves.

Are GEX levels measured data or an estimate?

An estimate. Exchanges report open interest per strike but not which counterparty is long or short, so GEX models apply an assumption about dealer positioning to assign a sign. Different providers use different conventions, which is why two GEX charts of the same market can disagree on where the key levels sit.

Why do GEX levels have to be recalculated every day?

Because they are derived from open interest, which changes as contracts are opened and closed and resets at expiry. A level valid this morning may not exist after the next expiry cycle — that is what the "daily model" framing in the source video refers to.

How should I evaluate a GEX-based approach before using it?

Check what positioning assumption the data source makes, on which instrument and expiry set, and whether the levels are computed before or during the session you intend to trade. Strategy Decoder catalogues strategies from video sources so you can see what each one is actually built on; for this entry, no rule set was extracted from the recording, so the video itself remains the reference.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

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