The nightly “top 3 stocks to watch” list, every pick scored
An account with nearly twenty thousand followers posts three stocks to watch every trading night, and the tickers only exist as text burned into the video, so we read all 101 lists off the frames and priced every one of the 303 picks. The typical pick fell almost four percent against the market on the very day it was named for, and kept falling: down a third by week three, with only one pick in seven still above water. The reason is timing, not stock-picking. By the time a stock reaches the list it has already jumped about fifty percent in three days, so the list is really a leaderboard of what already moved, and you cannot buy until the next morning, which is exactly where the fall begins. Trading every list for eight months turns a thousand pounds into a hundred and twenty-two, while the market rose eleven percent. He never tells anyone to hold overnight, and none of this needs him to be dishonest.
An account with nearly 20,000 followers posts three stocks to watch every trading night. We pulled all 101 of those lists, read the tickers off the video frames because the captions never contain them, and scored all 303 picks against the market. The picks lose, and the reason is visible in the timing rather than the stock-picking: by the time a name reaches the list it has already risen a median 54% in three days on heavy volume. The list is a leaderboard of what already moved. A viewer cannot buy until the next morning’s open, which is where the decay starts. Nothing here suggests dishonesty and he never tells anyone to hold; these are day-trade candidates. But the money still goes one way.
101 nightly slates, 303 picks, 218 distinct tickers, 2025-12-24 to 2026-08-25, 287 priced (94.7% coverage). Entry is the open of the session each caption names, because the post goes up the previous evening (the in-video phone clock reads 9:44pm) and no viewer can transact sooner. Same-session excess over SPY: mean −0.90%, median −3.81%, 117 of 287 closed up, sign test p=0.001. The mean is milder than the median only because a few lottery hits carry it, one name gained 142% in a session. Holding is worse and monotonic: −6.5% at one week, −19.3% at two, −26.7% at three (t=−9.44), −29.0% at 21 sessions, with the fraction closing up falling 41% → 29% → 21% → 16% → 13%. Measured on a balanced panel of the 224 picks that all have 20 forward sessions, so the sample never shifts under the curve. Benchmark choice is irrelevant: −29.0% vs SPY, −29.5% vs IWM, −29.7% vs IWC, and microcaps beat the S&P over this window (IWC +22.6% vs SPY +11.3%), so it is not an asset-class artefact. Absolute return ignoring benchmarks entirely: −26.4% at 21 sessions. Repeating a name makes it worse (−2.21% vs −0.23% for names called once), which is chasing rather than conviction: one stock was named at $3.89, named again the next night at $11.91 after it gapped, then fell 78.6% in 21 sessions. Prices are as-traded and not split-adjusted, which flatters these names, and no commission or spread is charged anywhere, so every figure here is the optimistic version. 19 picks never priced, mostly delistings, which also biases the result upward.
- Kill date
- 2026-08-26
- Sample
- 101 slates, 303 picks, 218 tickers, 287 priced
- Method
- Documented kill
- Verdict
- the run-up happens before the post
Locked to this strategy's real measured result of -2.06% per night, compounded. You choose the amount and the time. We don't choose the return, the strategy already did.
- The same leaderboard’s number two, traced: a real gain, a third of the board+$213,377 → $65,300 · 2026-09-08
- The copy-trading leaderboard’s number one, traced to the wallets behind the handle+$814,776 → $0 · 2026-09-04
- Buy the dip, counted: thirteen thousand opportunities, priced+65% vs +166% · 2026-09-01
Tested on the record and published in full, with the real numbers, whatever the result.
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