Strong Bull Test
Look for assignment and opportunity cost when the market rises persistently.
Run in Covered Call Lab →Options Experiments
Watch the idea. Then run the experiment yourself.
Our videos show one simulated outcome. The free labs let you test the same strategy again under different market conditions and see expiration, assignment, premium income, missed upside, and comparison with buy-and-hold.
Calm BullStrong BullTypicalChoppyBearCrash / Crisis
How to use this page
Three steps from video to experiment
Watch
Start with a short video explaining one options trade-off or market regime.
Run
Open the relevant free simulator and make the decisions yourself.
Compare
Repeat the same setup under another market regime and compare the complete account result.
Current challenge
The Strong Bull Test
Question: Can repeated covered-call premium keep up when the market rises persistently and breaks through strikes more often?
Run the Covered Call Lab with Strong Bull selected. Track premium collected, assignment, missed upside, and the difference versus simply holding the shares. Then rerun the exercise under Calm Bull.
Run the Strong Bull TestExperiment library
Five useful tests to run
Bear Market Test
See how much premium cushions a decline—and how much stock-market risk remains.
Run in Covered Call Lab →Choppy Market Test
Examine a market with substantial movement but limited sustained direction.
Run in Covered Call Lab →Assignment Test
Sell a cash-secured put and follow what changes if shares are assigned.
Run in CSP / Wheel Lab →Wheel Bear Test
See what happens when put assignment turns into stock ownership during a falling market.
Run in CSP / Wheel Lab →Same Strategy, Different Market
Run the same choices twice under different regimes. The point is not to predict; it is to expose dependence on market conditions.
Choose a simulator →What simulation can—and cannot—tell you
These labs are educational models, not forecasts. They simplify option pricing, execution, taxes, dividends, liquidity, and other real-world details. Their purpose is to make strategy mechanics and trade-offs visible under controlled market conditions.
For research-oriented analysis, see the Research section for Monte Carlo studies, validation work, and reproducible settings.