Closed trades + the methodology behind each

50% profit target hit at 23 DTE — both formal rules satisfied in one cycle. The methodology working clean. The premium per share was the strongest of the cycle so far.

Stock ran toward the $23 strike during the cycle. Closed near break-even — barely positive premium against the upside cap. The cycle that says: this strategy has an edge case where a fast rally on the underlying erases the trade-off.

Strikes moved to $23 as the stock continued drifting lower. Closed in 4 days when premium had decayed past the 50% target — Rule 1 firing in real time.

Second cycle at the $26 strike. Opened standalone; later paired with a $25-strike call (next row) as the stock drifted lower. Both closed the same day.

Stacked alongside the $26 call above as the stock drifted toward $25. A strike-spread experiment to diversify premium across two strikes for the same cycle. Both closed same day.

First covered call after assignment at the $26 strike. Premium decayed fast — closed in 2 days. The annualised number looks wild because the cycle was so short; the methodology says don't chase that yield by re-entering immediately.

Classic wheel entry — sold the $26 put a notch below the share price, accepted assignment at expiry to acquire the initial position. The trade that started the wheel running.

Bought spring 2024 on the thesis that Agentforce + AI-attach would lift subscription growth back to 15%+. The thesis broke quarter by quarter as growth decelerated below 10% and management's acquisition appetite returned. Exited September 2025 at -10% across three sells. The pre-trade prompt I run now would have caught the original thesis as too dependent on a single quarter's results.

Bought May 2024 on a post-earnings dip expecting mean reversion to the long-term compounder pattern. Position held flat for 9 months while the broader market ran. Sold all 5 lots in one day in February 2025 when it became clear the catalyst wasn't coming. Small realised loss; the real cost was 9 months of flat capital.

Bought 2021-22 at $278-299 (split-adjusted from $834-897 pre-August-2022 3-for-1), added January 2024 at $185-212 after a further drawdown. Held through as the company swung between EV demand wobbles and FSD timeline noise. Exited in 5 staged sells across November 2024 at $342-360 as the trade returned to thesis territory.

Bought through late 2024 / early 2025 on the AI Overview market-share fear. Thesis: search query share wouldn't fall as fast as the bears claimed, Gemini integration would defend the moat, cloud growth was independently strong. 12-month hold across multiple buy windows, single big sell in September 2025.

Bought December 2023 after the password-sharing crackdown started showing up in subscriber numbers. Thesis: the ad-tier launch + content monetisation were durable, the streaming wars were settling. Held 13 months through the 2024 run. Exited at +108% when the original thesis fully played out.

A small-cap restaurant chain bought when the analyst consensus was sceptical of post-COVID restaurant demand. Thesis: regional value brands compound through inflation cycles. 13-month hold; exited September 2024 when the multiple caught up to the thesis.

Bought 2021-22 at $173-325 across staged entries. Watched it fall to a $32-50 trough by late 2022 — about 80% underwater at the worst. Held through, then added at $71-90 during the 2023 recovery as the bottom was confirmed. Exited across 11 staged sells through 2024 at $208-340. The 2023 recovery buys turned a difficult position into the best % return on the page.