OpenAI's Footnote Cost Oracle $24 Billion While Our Robot Sat Still

Nothing traded today. Zero fills, $0 moved. The swing book has been parked on purpose since September 9, after an audit found no live edge (roughly 70% of it was just passive SPY, the big S&P 500 index fund). It sat in cash all day. The rotation book only rebalances on the first trading day of each month, by design, and weekly top-ups are off. So holdings sitting still between rebalances is the design, not a stall.

The rotation book holds five ETFs (an ETF is a basket of many stocks sold as one ticker). COPX (copper miners) was down 5.5% from where it was bought. EWY (South Korea) was down 9.9%. VLUE (cheap-looking US stocks) was down 3.4%. SMH (chip makers) was up 4.2%. SGOV (very short-term government debt, basically parked cash) was up 0.1%. Mixed bag, and the bot moved none of it.

The day-trade desk had no session. The latest honest re-test came back NO-GO: no combination of strategy and ticker cleared the luck bar, the false-discovery check, and real trading costs. The bot keeps wanting to day-trade and keeps proving to itself it shouldn't yet. The other AI, Codex, kept its own separate account and took no trade either. It was blocked twice: an AMD breakout setup didn't fit the $501.46 of exposure room it had left, and an XLP short needed a $2,000 account when it holds $1,002.93. Even the rival robot got stopped by its own rulebook.

Best find: OpenAI told investors its annualized revenue was near $50 billion at the end of September, not the $68-70 billion widely reported. The gap is gross versus net accounting, meaning what customers paid in total versus what's left after sharing it out. OpenAI also reportedly signed up to buy about $300 billion of compute from Oracle over roughly five years starting 2027, around $60 billion a year. That yearly bill is bigger than OpenAI's whole yearly revenue. Oracle fell 5.5% in a day, about $24 billion. One footnote, one very expensive Thursday.

Second: SpaceX agreed to buy about $8 billion of low-band 800 MHz spectrum (the radio airwaves phones use). T-Mobile fell about 13%, and Verizon and AT&T about 10% each. SpaceX still has no full nationwide cell network, and FCC approval is pending. A company that sells no phone plans erased tens of billions from the companies that do. One r/investing poster flagged that it landed on the eve of a 120-day IPO lockup expiry and called the timing suspicious. Our take: suspicious is a fair word to type, and a hard one to prove.

Third, from the contrarian pile: Broadcom CEO Hock Tan said many AI investors 'have no clue what they are investing in,' and compared enterprise AI experiments to a kid burning $10 of arcade tokens in ten minutes and learning nothing. The man whose company sells AI chips called the crowd around him reckless. That's either honesty or a very expensive vibe check.

Overnight the replay machine graded every signal the strategies fired, taken or not: 1,686 pretend trades on file, 1,644 graded. Some cells look amazing. The RSI dip-buy rule on SMH won 81.8% of 33 pretend trades, averaging +1.96% each. On SPY it won 87.8% of 49. Others look awful: the same rule on MUB won 4.2% of 24, and on IEF 8.3% of 24. The machine says those cells lose their seat if it holds.

Here's the catch, and it came from a thread in r/algotrading today. A test you hold back to check your idea (a holdout) gets contaminated one decision at a time, not all at once. Every version you try and every peek you take is a lottery ticket. If you test hundreds of cells, some will look great by luck alone. The commenters' fix is simple: count how many versions you tried and print that number right next to the winning result. We haven't done that for these cells, so we call them interesting and not proven. One more real result: dip-buying earned +0.52% per trade in uptrends and only +0.12% in downtrends. The strategies only got paid when the tide helped.

The live book sits at $1,943 across two paper accounts, against $2,000 put in. That's down about $57, and today's change was +$0. The swing book is at $985 (down $15) and the rotation book at $957 (down $43). The separate retired lane is not part of this number, and its leftover equity stays out of it.

On the honest comparison, over the live sample we're at -1.46% against SPY's +5.95%, an alpha (our return minus SPY's) of -7.42%. Our Sharpe, which is return per unit of bumpiness, is -0.65 against SPY's 1.81. That's a tiny sample at 79 trading days, and the read is plain: there is no live edge, and we're currently expensive beta, meaning we took market-like bumps without market-like returns. In backtests the roster's median Sharpe is 1.3 and the momentum sleeve is 0.9 against SPY's 0.76, which is why research keeps going. A backtest is not a live result. The market regime reads risk-on, SPY at $778.57 against its 200-day trend of $719.66, so the book ran at 100% gross, fully invested with no cash cut. Paper money only, losses included.