When a strategy beats QQQ, what actually produced the extra return?
The four engines
Any options strategy built on QQQ gets its return from some mix of these:
- Market exposure: you are paid for owning growth-oriented large caps. What can go wrong: a prolonged technology drawdown.
- Leverage: capital efficiency from LEAPS. What can go wrong: losses grow at the same rate as gains.
- Option premium: selling calls and puts. What can go wrong: capped upside and sharp losses in fast moves.
- Timing: changing exposure across market regimes. What can go wrong: overfitting and changes in how the market behaves.
Why it matters
Most investors who "found a better strategy" just found more leverage. Leverage is not skill. It makes the same bet bigger. To judge a strategy honestly, you have to separate the engines.
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Applying it to TradeMind
TradeMind's two year simulation ran from October 14, 2024 to October 13, 2026. Under the tested assumptions, QQQ LEAPS showed +229.48% with a largest decline of 14.59%, against QQQ buy and hold at +49.46% with a largest decline of 22.88%. That result is hypothetical, model-priced and not live trading. Here is how to read it:
- How much came from QQQ simply rising?
- How much came from LEAPS leverage?
- How much came from PMCC (poor man's covered call) and SMH (semiconductor ETF) premium?
- How much came from the ML regime model choosing when to hold more or less?
TradeMind's methodology page splits performance into exactly these components. A headline CAGR with no breakdown is a marketing number. A breakdown is research.
Strategy Integrity Check
Ask: "What would this strategy have returned with the timing model turned off?" If the answer is close to the full result, the AI is not what is earning the return.
