Jason — 做了什么— build log— 制作ログ

PJ62 is a multi-persona paper-trading experiment — no broker, no real orders. Several AI personas (trend-following, contrarian, conservative, Japan market, China market, leveraged FX, high-activity, and a purely mechanical rules-based one) share one pool of virtual money, each making hypothetical decisions by its own rules every day, so that over time I can compare which style wins in which market conditions.

This week I grew the personas from 3 to 8, added hard rules (a no-trade day must state a concrete reason), required every entry and exit to carry a percentage, and attached the parameter ranges institutions commonly use as a reference. I also wrote a v0.1 draft of "my trading system" that I'll revise monthly against the actual results.

A Windows scheduled task runs it four times a day — Tokyo close, China close, the active FX window, and early the next morning — and emails out all 8 personas' moves and balances. It all runs on my local Claude Code subscription, and the prompts are written to be model-agnostic so another AI CLI could run it too.

I often lose hours to short videos and then beat myself up about it. PJ55 is a personal tool against that; it started as a daily "implementation intention" check-in. This week I added a "mental nutrition" library: a few 300–600 word pieces — Lincoln going from a string of failures to signing the Emancipation Proclamation; Tadao Ando, a boxer who never went to university, winning the Pritzker Prize; Haruki Murakami deciding at 29, in the bleachers at a baseball game, to start writing novels. Plus two original film notes on Japanese movies like Hula Girls and The Chef of South Polar — ordinary people keeping at something nobody bet on, one day at a time.

Each piece has a read-aloud button using the browser's built-in speech, so I can listen to them like an audiobook. The content lives in a JSON file, so adding or removing pieces is easy.

My personal site maysuns.uk was briefly misread as "verification failed" in Google Search Console — it turned out I'd been checking it while signed in to a different Google account that was logged in at the same time. Once that was sorted, I added DNS verification and a 27-URL sitemap and did a round of SEO / AI-search optimization.

I turned it into a rule: when checking a Google service that supports multiple accounts from a browser, don't conclude "no permission" too fast — first confirm which account you're actually looking at.

I'd wanted to learn git for a long time and kept failing at it. This time I had the AI use a dozen uncommitted files in a real project of mine as the exercise, and write a hands-on guide with concrete commands, a "what you should see" note for each step, and a "what to do if it goes wrong" table. I followed it through and made my first clean commit on my own — only the files for that project, without mixing in changes from other projects.

The takeaway: it wasn't that I couldn't learn it, it was that I lacked material that said "just do it once, following this specific example."