My 15% Buffer Strategy for High-Probability Income Trades

by | Apr 29, 2026

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Let me walk you through something that’s become central to how I approach income trading — the idea of building substantial buffers into my option spreads.

In a recent session, I broke down the exact trade I was setting up. At the time, the S&P 500 was trading around 7,150, which provided a clear backdrop for why I went as far OTM as I did.

The short strike I chose was 6,000. To put the distance into perspective, 7,150 minus 6,000 is 1,150 points. Divide 1,150 by 7,150 and you get roughly 0.16 — a 16% downside cushion. I like showing the math because it helps traders understand the magnitude of the safety margin I look for.

The backdrop behind this positioning was simple. After watching how violently and how fast the market moved higher recently, it made sense to consider multiple scenarios. One possible path is a modest drift higher, but another is a pullback into the 7,000 area if momentum cools.

That isn’t a prediction — it’s a scenario that fits within the current volatility structure. If we break back above recent highs and hold, that would invalidate the pullback setup entirely.

From there, the question becomes: Where does the market have real structural support? I’ve been watching 6,300, which aligns with a prior swing low; 6,150, which lines up with a high-volume node on volume-by-price; and 6,000, a major psychological round number that historically attracts responsive buying.

Those levels aren’t arbitrary — they’re anchored in repeated price interactions and liquidity pockets traders consistently defend.

The Technical Levels That Define My Strike Selection

When selecting strike zones, my goal is to stack technical evidence beneath the trade so price would need to break multiple layers of support before my short strikes come into play. In this case, I built the structure as a defined-risk put credit spread.

Specifically, I sold the 6,000–6,025 zone and bought protection up at 6,110–6,120, creating a wide, stable foundation beneath the market.

This setup gives clear parameters. Max profit is the premium collected, max loss is the width of the spread minus that premium, and breakeven sits just below the short put strike. Because it’s a defined-risk structure, buying power requirement stays minimal and predictable.

That said, no option structure is immune to real-world mechanics. Even if the market touches my levels, volatility spikes, gap moves, settlement rules and intraday breaches can influence outcomes.

Index options like SPX or XSP that cash-settle reduce assignment complications but don’t eliminate all risks, so traders need to stay aware of how fast-moving markets can affect defined-risk positions.

Balancing Buffer Distance Against Premium Collection

When you build a 16% buffer, you naturally give up some premium. That’s the trade-off: more room for error and less income per contract. To accommodate different risk profiles, I created two versions of the same structure. One targeted a $1 credit for around a 7% return while the other aimed for a $2 credit at roughly 15%.

Both maintain that substantial downside cushion — they just shape the risk-reward differently.

With this approach, I’m not trying to predict the next 50 points on SPX. I’m building trades that can withstand dislocations, emotional selling and algorithm-driven flushes while still aiming for steady income. The combination of defined risk, deep technical support and a wide buffer creates a setup designed to deliver durable results without requiring perfect timing.

I’ll see you in the markets.

Chris Pulver
Chris Pulver Trading 

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*This is for informational and educational purposes only. There is inherent risk in trading, so trade at your own risk. 

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