One signal. Backtested across 100+ tickers. Clear entry. Clear exit.
Options market makers (dealers) don't make directional bets. They hedge. And when their gamma exposure turns deeply negative, they're forced to buy when stocks go up and sell when stocks go down — amplifying every move like a rubber band being stretched.
Eventually, the rubber band snaps back. Volatility compresses, stocks bounce, and the calls you bought at the peak of fear surge in value. That's the Dealer Signal.
If oversold stocks snap back, why not just buy anything that drops 5%? Because most dips are justified. An earnings miss, a sector rotation, a guidance cut — these are real reasons for a stock to fall, and there's no rubber band pulling it back up.
The Dealer Signal doesn't look at price. It looks at why the selling is happening at the market microstructure level. There's a critical difference:
The signal is a filter: out of all the stocks dropping on any given day, which ones are dropping because of market plumbing — not fundamentals? That's the edge. You're not betting on every dip. You're betting only on the ones where the selling pressure has a mechanical expiration date.
And even then, it doesn't always work — fundamentals sometimes overwhelm the dealer effect. That's the 60% that loses. But because you're buying cheap OTM calls at peak fear, the winners are so much bigger than the losers that the math still works in your favor.
Extreme negative gamma conditions are uncommon. The market has to genuinely sell off hard enough that dealers are deeply short gamma — and then momentum has to turn. That combination only happens a handful of times per stock each year. When it does, the setup is powerful. When it doesn't, there's nothing to chase.
A stock can be oversold in gamma terms and be falling for a real reason — a blown earnings report, a fraud allegation, a sector collapse. The Dealer Signal tells you the mechanical setup is there. But you still need to confirm the dip isn't driven by something that won't reverse.
That's where the rest of the TradeAlerts platform becomes essential:
Is the stock holding key support levels? Is there a bullish divergence forming? TA gives you the structural picture — if the chart is in freefall with no support in sight, the gamma setup alone isn't enough.
Are institutions buying calls or dumping stock? Heavy put flow with sweep activity is a warning sign. But if smart money is quietly accumulating calls during a dip, that's confirmation the signal is real.
Our machine learning model scores every ticker daily on multiple factors. A high conviction score during a dealer signal means the fundamentals, technicals, and flow all agree — the dip is mechanical, not structural.
Think of it this way: the Dealer Signal is the trigger. The rest of the platform is your safety check. When the signal fires and the TA, flow, and ML all say "risk on" — that's when the setup is highest conviction. When the signal fires but flow is bearish and there's an earnings miss on the calendar? You skip it.
This is exactly why the backtest shows a 60/40 win rate but still generates +288% returns. The signal provides the asymmetric setup — cheap OTM calls at peak fear. The platform tools help you decide which signals to take. And the strict rules (TP at +50%, exit by day 5) manage the risk when you're wrong.
These aren't hypothetical. Every trade below was generated by our backtesting engine using real historical options pricing, with commissions and slippage modeled.
Every winning trade needs an exit plan. Most services give you an entry and leave you hanging. We built two simple, mechanical rules that remove emotion from the equation.
When your call is up 50% from entry, sell. Lock in gains before theta decay or a reversal eats them. This isn't greed — it's math.
If take-profit hasn't triggered by Day 5, cut the position. Dealer gamma effects decay quickly — holding longer means holding hope, not edge.
11 months. 50+ tickers. 247 trades. Walk-forward validated. No curve-fitting.
Same signal, different starting capital. Position sizing scales with account.
| Starting Capital | Ending Value | Return | Net P&L |
|---|---|---|---|
| $5,000 | $17,316 | +246% | +$12,316 |
| $10,000 | $38,850 | +289% | +$28,850 |
| $20,000 | $82,287 | +311% | +$62,287 |
| $30,000 | $119,098 | +297% | +$89,098 |
Click to expand the methodology behind the signal.
Gamma Exposure (GEX) measures the total gamma that options market makers (dealers) hold across all strikes for a given stock. When GEX is positive, dealers are long gamma — they buy dips and sell rips, acting as a stabilizing force. When GEX is negative, dealers are short gamma — they're forced to sell into dips and buy into rips, amplifying moves.
Think of it as a measure of the market's "spring tension." Positive GEX = tight spring (range-bound). Negative GEX = loose spring (volatile, directional). Our signal specifically targets periods when GEX is deeply negative — meaning dealers are being forced into destabilizing hedging flows.
Formula: GEX = dealer_gamma * open_interest * 100 * spot_price
We aggregate across all expirations and strikes to get a single net GEX reading per ticker per day.
The Dealer Signal fires when two conditions are met simultaneously:
1. Negative GEX below the 25th percentile: We calculate a rolling 60-day lookback of each ticker's GEX distribution. When current GEX drops below the 25th percentile, it means dealers are under unusual hedging stress — significantly more negative than their recent norm.
2. Rising momentum (GEX is increasing): We don't just want "deep negative" — we want "deep negative and recovering." A 5-day rate-of-change filter ensures we catch the inflection point where dealers start covering, not the freefall phase where they're still selling.
This combination — stressed but turning — captures the moment the rubber band starts snapping back. We scan 50+ tickers daily and only enter when both conditions align.
Our backtest uses Black-Scholes pricing with realistic implied volatility estimation to model option premiums at entry and exit.
Strike selection: We buy calls that are 5% out-of-the-money (OTM). This gives enough leverage for explosive returns while keeping premiums affordable. For a stock at $200, we'd buy the $210 strike.
Expiration: 14 days to expiration (DTE). Long enough to survive a few days of adverse price action, short enough that theta hasn't crushed the premium yet.
IV estimation: We estimate implied volatility as HV20 * 1.10 — the 20-day historical volatility scaled up by 10% to account for the typical volatility risk premium. This is conservative and produces realistic option prices.
Position sizing: Each trade risks a fixed 4% of portfolio equity, with a maximum of $4,000 per position. Contracts are calculated by dividing the allocation by the premium cost.
We use walk-forward analysis to ensure the signal isn't overfit to historical data. Unlike simple in-sample/out-of-sample splits, walk-forward testing simulates how the strategy would actually be deployed:
3 rolling windows: The 11-month test period is divided into 3 overlapping windows. In each window, the first 60% is used to calibrate the GEX threshold, and the remaining 40% is traded blind.
No hindsight bias: The 25th percentile threshold is calculated only from data the strategy would have had at the time. No future data leaks into signal generation.
Multi-ticker coverage: The signal is tested across 50+ liquid stocks (not just mega-caps). Performance isn't cherry-picked from the best tickers — the +288% return is the aggregate across all signals fired.
Realistic execution: We model $0.65 per contract commission, 1-tick slippage on entries, and no fills below $0.10 premium. This ensures the backtest reflects what a real trader would experience.
Get the Dealer Signal, real-time GEX maps, options flow intelligence, and AI-powered technical analysis — all in one platform.
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