Don't Chase Earnings | Trade the Squeeze Instead
•February 25, 2026
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Why It Matters
By focusing on high‑probability squeeze setups, traders can protect capital and improve returns during earnings‑driven volatility, a critical edge in options markets.
Key Takeaways
- •Selling options premium beats buying out‑of‑the‑money calls
- •Ideal squeeze identified via Squeeze Ultra filters low‑probability trades
- •Adaptive timeframes improve entry precision during earnings
- •Live scanning finds hundreds of high‑probability setups quickly
- •Avoiding mediocre trades boosts monthly performance
Pulse Analysis
Earnings season injects massive implied‑volatility (IV) into options pricing, creating a tempting but treacherous environment for speculative traders. When a heavyweight like Nvidia releases results, the market often over‑prices the move, and many participants chase out‑of‑the‑money calls only to see those premiums erode as IV collapses. This dynamic can quickly turn a seemingly lucrative trade into a loss, especially for those who base decisions solely on headline reactions rather than structural market factors.
John Carter’s Squeeze Ultra methodology reframes the earnings playbook by targeting "ideal squeezes"—price action patterns that combine low volatility compression with a clear directional catalyst. Unlike generic squeeze indicators that flag any narrowing range, the Ultra filter adds volume, momentum arrows, and green‑zone confirmations to weed out false signals. By adjusting the timeframe adaptively, traders can pinpoint the precise moment a breakout is likely, reducing exposure to choppy price action and improving entry accuracy. This systematic approach transforms a chaotic earnings window into a disciplined, high‑probability trading environment.
For professional traders, adopting the Squeeze Ultra framework means shifting from volume‑driven speculation to a data‑backed, risk‑controlled strategy. The ability to scan hundreds of equities in real time and isolate only the most promising setups can dramatically enhance portfolio performance, especially when combined with premium‑selling tactics that capitalize on inflated IV. As markets continue to reward precision and risk management, tools like Squeeze Ultra become essential for sustaining edge in volatile earnings cycles.
Original Description
Nvidia just reported earnings — but the real edge isn’t guessing the reaction. It’s knowing which setups are actually worth trading.
In this video, John Carter breaks down Nvidia earnings, the expected move priced into options, and why many traders get crushed by IV when chasing out-of-the-money calls. Then he shows something far more powerful: how to use the Squeeze Ultra to identify only “ideal squeeze” setups — and avoid the mediocre trades that quietly destroy performance.
If you’ve ever looked back at your statement and thought, “If I just avoided those 10 trades, I would’ve had a great month,” this video is for you.
You’ll learn:
Why selling premium often outperforms buying during earnings
What makes an “ideal squeeze” different from a regular squeeze
How to use arrows + green zones for precise entries
Why adaptive timeframe settings change the game
How to scan hundreds of stocks quickly for high-probability setups
This isn’t about trading more.
It’s about trading better.
Watch John Carter scan for ideal setups LIVE using the New Squeeze Ultra and learn how to instantly spot real breakouts, avoid chop, and know exactly when not to trade. :chart_with_upwards_trend: Join John live on Wednesday, February 25th at 6PM CT to see his automated watchlist, live chart examples, and the same pre-breakout framework he’s used for 20+ years. Sign up: https://lp.simplertrading.com/ideal-setups?utm_campaign=ult&utm_spec=2026-q1-jc&utm_medium=organic_social&utm_source=youtube&utm_term=web-reg
Get access to John’s trade alerts and daily live trading sessions in the Mastering the Trade Room. Start a $7 trial here: https://lp.simplertrading.com/mastering-the-trade?utm_campaign=mtt&utm_spec=on&utm_medium=organic_social&utm_source=youtube&utm_term=purchase
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