ML predictions in trading are usually garbage. What makes yours different?

Most ML models train on price action and overfit to noise. Ours trains on dealer positioning, gamma exposure, and flow imbalances — structural inputs that cause price movement, not just correlate with it. It’s a positioning-aware model, not a pattern-matching one.

How is this different from the free GEX charts on Twitter and Discord?

Those charts are typically single-snapshot, single-expiration views with no context. ChartGEX aggregates across all expirations, calculates Vanna and Charm flows, layers in ML forecasts, and updates throughout the session. It’s the difference between a napkin sketch and an engineering blueprint.

Is this calculated from delayed retail data, or are you using real institutional feeds?

Institutional-grade OPRA-level data — full options chain across every listed strike and expiration. Open interest, volume, IV surfaces, and Greeks. Not the 15-minute-delayed snapshots you get from free APIs.

I don’t have a quant background. Will I actually be able to use this in my process, or is it just more noise?

You need to know three things: the regime (positive or negative gamma), the key levels (magnet, flip, walls), and whether the model agrees with your trade. That takes five minutes. No quant degree required.

If I’m trading 0DTE, is this updating fast enough to matter intraday?

Data updates on a 15-minute cycle throughout the session. Structural GEX levels — gamma flip, call walls, put walls — don’t shift tick-by-tick; they move when open interest and dealer positioning change meaningfully. The 15-minute cadence captures every material shift while filtering out noise.

Trade the Mechanics, Not the Chart.

Every move is pre-mapped by dealer hedging. ChartGEX reveals the hidden gravitational zones where price is forced to move.

0% of intraday SPX reversals occur at key gamma levels. You either see them, or you're the liquidity.

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See How It Works

Gamma Summary

SPY — All DTEs

Positive GammaDELAYED

Spot Price

$592.50

Call Wall

$600

Put Wall

$585

Gamma Flip

$593

GEX by Strike

Mar 3, 2026 3:45 PM ET

Three Forces That Move Every Market

Dealer hedging creates mechanical price behavior. These are the three lenses that decode it.

Pillar 1

The Magnet

Pillar 2

The Velocity

Pillar 3

The Conviction

Pillar 1

The Magnet / GEX

Price isn’t random. It’s being pulled.

Gamma Exposure reveals where dealers are over-hedged — and where they’ll be forced to buy or sell to stay neutral. These aren’t support and resistance lines drawn by hand. They’re mechanical obligations backed by billions in open interest. When GEX is positive, dealers dampen moves. When it flips negative, they amplify them. Knowing which regime you’re in is the difference between sizing up with confidence and getting steamrolled by a vol expansion you didn’t see coming.

GEX shows you the playing field. Everything else is decoration.

Three Forces That Move Every Market

Dealer hedging creates mechanical price behavior. These are the three lenses that decode it.

Pillar 1

The Magnet / GEX

Price isn’t random. It’s being pulled.

GEX shows you the playing field. Everything else is decoration.

Pillar 2

The Velocity / Vanna & Charm

Knowing where isn’t enough. You need to know when it accelerates.

Vanna measures how dealer delta shifts as implied volatility moves. Charm measures how it shifts as time decays. Together, they tell you when a slow grind is about to become a violent move — or when a sharp sell-off is about to exhaust itself. This is how institutions anticipate the 2pm melt-up into OpEx. This is how they front-run the charm-driven drift that pins price to max pain by Friday close. You’ve watched it happen. Now you’ll see it forming.

Vanna and Charm are the “when” behind every dealer-driven acceleration and pin.

Pillar 3

The Conviction / ML Predictions

Data without direction is just noise. The model filters it.

ChartGEX’s ML layer synthesizes gamma positioning, flow imbalances, and volatility regime data into directional probabilities — not vague “bullish/bearish” labels, but calibrated forecasts tied to specific strike-level mechanics. It doesn’t replace your thesis. It pressure-tests it. When your read on the tape aligns with the model’s highest-conviction zone, you size accordingly. When they diverge, you stay flat. That filter alone changes your P&L curve.

The model turns positioning data into a decision framework — so you stop overtrading setups that don’t have structural backing.

See What the Big Money Sees

Institutional-level analytics — from gamma profiling to ML-powered predictions — in a dashboard built for everyday traders.

Gamma Summary

SPY — All DTEs

Positive GammaDELAYED

Spot Price

$592.50

Call Wall

$600

Put Wall

$585

Gamma Flip

$593

GEX by Strike

Mar 3, 2026 3:45 PM ET

The Problem

You’re trading in a market that’s already been mapped.

$500B in hidden flows

Over $500B in options open interest creates mechanical hedging flows every single session. You’re bringing a line chart to a structural-flow fight.

The Problem

You’re trading in a market that’s already been mapped.

$500B in hidden flows

Over $500B in options open interest creates mechanical hedging flows every single session. You’re bringing a line chart to a structural-flow fight.

That ‘random’ reversal wasn’t random

Every stop-out at a level that “shouldn’t have held” was a gamma wall — dealer hedging mechanically absorbing pressure and reversing price.

0DTE changed the game

Zero-day options now account for over 40% of SPX volume. Your 2021 playbook — VWAP bounces, MA holds — is getting eaten alive by structural flows you’re not tracking.

The Solution

ChartGEX shows you the mechanical blueprint behind every session.

GEX levels, Vanna/Charm flows, and ML-driven directional forecasts — continuously updated throughout the session and across expiration cycles. One dashboard. No guessing which levels matter.

Start Your Edge

Who It's For

Built for traders who already know what GEX is.

Prop traders & options desks replacing Bloomberg-tier tools
Independent professionals who need institutional-grade data
Systematic traders integrating positioning into their edge

Pricing

One avoided fake-out pays for a year.

This isn’t an expense — it’s infrastructure.

See Pricing

Confused → Confident in 5 Minutes

30 seconds

Read the Regime

Open ChartGEX at the start of your session. Check the GEX profile: Is aggregate gamma positive (pinning/mean-reverting environment) or negative (trending/expanding environment)? This single data point tells you whether to fade moves or ride them today.

2 minutes

Identify the Key Levels

Find the highest positive gamma strike (the “magnet” — price gravitates here), the gamma flip point (above = dealers suppress; below = dealers amplify), and any Vanna/Charm clusters near current price. These are your session’s structural levels. They replace guesswork S/R.

2 minutes

Align & Execute

Check the ML directional forecast against your own thesis. If your setup aligns with a high-conviction gamma zone and the model’s directional lean, you have structural backing to size with confidence. If they diverge, reduce size or sit on your hands. This filter alone eliminates the majority of low-quality trades.

You don’t need to become a GEX expert. You need to know three things: the regime, the levels, and whether the model agrees with your trade. That takes five minutes.

Why It Works

Data Source

Where does this come from?

ChartGEX ingests options chain data across every listed strike and expiration — open interest, volume, implied volatility surfaces, and Greeks — sourced from institutional-grade feeds (OPRA-level data, not delayed retail snapshots). Gamma, Vanna, and Charm exposures are calculated per-strike and aggregated to map the full dealer positioning landscape. This is the same data infrastructure that powers the analytics desks at major funds.

Mechanical Certainty

Why should I trust GEX levels?

Because dealer hedging isn’t optional. When a market maker sells you a call, they delta-hedge by buying the underlying. As gamma increases near a strike with massive open interest, their hedging accelerates — they must buy dips and sell rips, mechanically pinning price. When gamma flips negative, the opposite happens: they sell into declines and buy into rallies, amplifying moves. This isn’t a pattern. It’s not a backtest. It’s how the options market structurally functions every single day. GEX maps where those obligations concentrate. You either trade with that information, or you’re the counterparty to someone who does.

Frequently Asked Questions

Everything you need to know about Chart GEX.

Open interest tells you where contracts exist. GEX tells you what dealers are forced to do because of them. It quantifies the directional hedging pressure at each strike — so you know which levels will mechanically attract or repel price, not just where volume sits.

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Stop Trading Without the Blueprint

One avoided fake-out at a gamma wall pays for a year of access. See where dealers are hedged — and where they’ll be forced to act.

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