FOMC is coming ~ again… so here is a great opportunity!

I’ve always wondered: can we actually trade these FOMC days in a systematic way?

So I ran an experiment. I pulled real SPY options data from every FOMC meeting since 2022, and I tested 3 very different strategies. Each one had clear rules, risk limits, and profit targets.

Here’s what I set up:

Strategy 1: The Long Straddle

  • Enter 2 days before the FOMC meeting

  • Buy 1 call and 1 put, both at-the-money

  • Expiration: weekly options (2–5 DTE)

  • Profit Target: +100% of premium

  • Stop Loss: –50% of premium

The hypothesis: when the Fed speaks, volatility should cause a big enough move in either direction to pay off.

Strategy 2: The Reverse Iron Condor

  • Enter 2 days before FOMC

  • Buy 1 call and 1 put ~5% out-of-the-money

  • Sell 1 further call and 1 further put to reduce cost

  • Expiration: weekly options (2–5 DTE)

  • Profit Target: +100% of debit paid

  • Stop Loss: –50% of debit paid

The idea: Fed moves are explosive, but buying both wings is expensive. Selling further OTM options should reduce the cost and make the bet more affordable.

Strategy 3: The Iron Butterfly

  • Enter 2 days before FOMC

  • Sell 1 at-the-money call + 1 at-the-money put

  • Buy 1 call and 1 put ~5% away for protection

  • Collect a net credit upfront (~$2,000+)

  • Profit Target: 75% of max profit

  • Stop Loss: 25% of net credit

The twist: instead of betting on big moves, this strategy bets that the Fed might not move markets as much as expected.

Now here’s where it gets interesting. I tested all 27 FOMC meetings from 2022 through mid-2025. One of these strategies completely failed, another had mixed results, and the last one… well, let’s just say it shocked me with a 96.2% win rate after optimization.

But I won’t spoil it here.

👉 Watch the full backtest breakdown, trade logs, and equity curves here:
96.2% Win Rate FOMC Options Trading Strategy

Trust me, you’ll want to see which setup cracked the code.

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Data is King

Sizing is everything

Sean Seah,

Portfolio Manager, Swiss-Asia Financial Services, Alpha Quant Index