185: Inside My SPX Strategy with Option Omega

Stock Market Options Trading

185: Inside My SPX Strategy with Option Omega

Stock Market Options TradingApr 28, 2026

Why It Matters

Understanding intraday seasonality and trend‑based timing lets traders capture more frequent, high‑probability opportunities, especially in volatile environments where traditional longer‑term strategies may stall. This episode offers a practical, data‑driven approach that can improve risk‑adjusted returns for options traders looking to scale their edge in the SPX market.

Key Takeaways

  • Trend Spread Engine ranks optimal trade times daily.
  • Zero‑day credit spreads use delta‑20/15 strikes near expected move.
  • 90‑day rolling analysis filters out losing periods and gaps.
  • 11:30 AM emerged as top time, overtaking 10:30 AM.
  • Automation potential via Option Omega and Alpha Crunching integration.

Pulse Analysis

In this episode Eric O'Rourke tackles the perennial trader dilemma—what to trade when markets are volatile and traditional multi‑day strategies stall. He explains how zero‑day credit spreads, especially on the SPX, can generate frequent, high‑probability entries if the right intraday signals are used. Leveraging Option Omega’s back‑testing suite, Eric validates his ideas against years of data, highlighting the importance of seasonality and expected‑move pricing. The discussion frames the broader context of today’s geopolitical uncertainty and VIX behavior, underscoring why a disciplined, data‑driven approach matters for professional portfolios.

The core of the conversation revolves around the Trend Spread Engine, a tool that scans the market every fifteen minutes between 10 a.m. and 3 p.m. Eastern. It determines trend direction, selects put or call credit spreads with minimum deltas of 20 and 15, and logs each trade for a rolling 90‑day performance review. By ranking the top five time slots based on win‑rate—defined as expiring worthless—the engine surfaced 11:30 a.m. as the current leader, overtaking the previously dominant 10:30 a.m. slot. A simple gap filter further refines entries, skipping days when the S&P 500 jumps more than half a percent, which helps eliminate sudden losers.

For a business‑focused audience, the takeaway is clear: integrating automated options analytics can sharpen risk‑reward ratios and reduce loss frequency. The episode demonstrates that even modest adjustments—such as timing trades to the highest‑ranked window and applying a gap‑avoidance rule—can boost expectancy to roughly $45 per spread, translating to a 10% return on a 4:1 risk profile. As the Trend Spread Engine matures, full automation via Option Omega and Alpha Crunching becomes feasible, offering firms a scalable way to capture intraday credit‑spread opportunities without constant screen time. Embracing such technology positions traders to stay ahead of regime shifts and maintain consistent profitability in an ever‑changing market landscape.

Episode Description

Watch the full video version of this episode:

https://youtu.be/2RgGjxUe35w?si=m1BU5TwEq973he2k

Links & Discounts:

Option Omega → https://optionomega.com (Use code SMOT for a discount)

Alpha Crunching → https://alphacrunching.com (Use code SPX50 for 50% off your first year)

In this episode, I sit down with Matt from Option Omega to break down how I’m using their platform to backtest and execute strategies from Alpha Crunching—with a focus on the Trend Spread Engine (TSE).

We dig into the core problem many traders are facing right now: what should I actually be trading in this market? With volatility shifting, trends changing, and many swing strategies not triggering, the goal is to find something repeatable that can be traded consistently.

That’s where the Trend Spread Engine comes in.

We walk through:

Why high-probability spreads alone don’t create an edge

How intraday time-of-day + trend + strike selection changes outcomes

The idea of tracking trades every 15 minutes to uncover intraday seasonality

Using a rolling 90-day dataset to adapt to changing market conditions

How I turn that data into actual trades using Option Omega

We also get into real examples of how certain time slots (like 10:30am vs 11:30am) rotate in and out of effectiveness—and how that impacts execution week to week.

If you’re trading SPX options—or trying to build a more mechanical, data-driven approach—this is a great behind-the-scenes look at how I’m thinking about strategy development right now.

Show Notes

Comments

Want to join the conversation?

Loading comments...