To test a new weekly income routine, I’m starting a simple structure: selling a put credit spread Invesco QQQ Trust (QQQ) every Friday with a target of ~$500 per week. The goal: consistency, not prediction.
This is the first trade in that sequence.
Since I started a bit late — entering the position on Monday, July 21 instead of Friday, July 18 — the time decay premium was lower, and the target P/L for this trade is more modest.
Why This Approach?
Some of my trades are structured around earnings or volatility — event-driven, directional, and often fast-moving.
But I’m also exploring a slower, income-oriented routine that can compound consistently week after week — independent of news or catalysts.
This weekly credit spread is built around stability, probability, and time decay — a useful counterbalance to more aggressive plays.
Why QQQ and Why This Strategy?
QQQ is liquid, has tight bid-ask spreads, and a wide range of strikes.
Each Friday, I’ll sell a PUT option slightly out of the money (~10 delta), and buy a further OTM PUT to cap the downside.
That creates a bull put spread — limited risk, limited reward.
Most weeks, the market doesn’t crash. This structure benefits from that stability and theta decay.
With 10 contracts, the premium collected per spread ($0.52) targets $500 per week, using a capital base of ~$25,000.
If a trade goes against me, I’ll roll into a covered call recovery using LEAPS — a system I’ll outline in more detail when needed.
This Week’s Trade
Opened: Monday, July 21, 2025
Instrument: QQQ (Invesco QQQ Trust)
Expiration: Friday, July 25, 2025
Structure: Put Credit Spread
Sell: 547 PUT @ $0.30
Buy: 522 PUT @ $0.04
Net credit: $0.26
Contracts: 10
Total premium: $260
Max risk: $24,740
👉 View this setup on OptionStrat
Management Plan
If QQQ stays above 547 → I let it expire worthless and keep the full premium.
If QQQ drops near or below 547 → I’ll manually close the spread and switch to recovery mode using a long-dated call and weekly covered calls.
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Disclaimer
All content is for informational purposes only and does not constitute financial advice.Any trades or strategies should be tested in a simulated environment before use.Trading involves risk, and all decisions are the sole responsibility of the reader.