Covered Calls on Apple in a Bear Market (AAPL)
How covered calls can create additional income and lower the effective cost of an Apple position—even when markets are unsettled.
Read & watch the insight →Insights & field notes
Clear thinking for markets that refuse to stand still.
The archive begins with practical investing lessons from Mark's covered-call work. New perspectives on AI, business and wealth will build from the same foundation: understand the system, manage the risk and decide with intention.
Two lensesAI leadership · disciplined investing
Featured from the archive
A practical look at positioning.
Educational market commentary from the Cash Flow Machine archive. Nothing here is individualized financial advice.
Covered Calls on Tesla (TSLA)
A practical look at writing covered calls on Tesla to pursue income while managing the cost basis of a long-term position.
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Best Covered Call Stocks for 2022
Three covered-call candidates, plus a bonus idea, viewed through the lens of selection discipline and repeatable process.
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Can You Use Covered Calls for Passive Income?
How covered calls compare with other income approaches, and why a proven system matters more than any single trade.
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Selling Covered Calls Using LEAPS
The opportunities and tradeoffs of synthetic covered calls, including delta, slippage, capital efficiency and active management.
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Covered Call Examples
Real examples using Roku and Alibaba to show why selection, market context and position management all matter.
Read & watch →Continue the conversation
Watch, listen and go deeper.
Mark's current thinking lives across two YouTube channels and the Wealth Architect Podcast.
AI YouTube
The AI Blindspot
Applied AI strategy for owners, experts and leaders.
Watch the channel ↗Investing YouTube
Covered Calls
Practical market and cash-flow investing education.
Watch the channel ↗Podcast
Wealth Architect
Conversations about money, business, freedom and legacy.
Listen to the podcast ↗The next advantage
AI is already changing your market. Choose your position.
See the shifts that matter, identify the expensive blind spots and begin building practical AI fluency.