ET Reddit Mentions | ChartExchange

I run a trading bot with two thoroughly tested strategies that hold up to 14/32 market days depending on the strategy. Anyways, I have a paper trading module in the trading bot and a claude skill to pull in reddit posts for analysis including all pictures and posts. Here's what it says about your post.
**What the OP is doing** (from the post, 56 comments, and chart forensics): scalping **QQQ 0DTE options** — I identified the underlying by matching their chart to today's intraday tape (QQQ hit its −2.19%-from-open trough at exactly 10:43 ET, matching their chart point-for-point; SPY doesn't). Signals are RSI/Bollinger/MACD on the underlying with ML-selected parameters, \~18 morning trades/session, stop-only exits with winners left to run, a session-equity trailing stop, and \~2-second fills at mid via Schwab. Their published stats are internally consistent (rare for Reddit — the PF, compounding, and chart labels all cross-check), but the current config has only \~3 live sessions behind it, tuned in response to earlier live losses.
**What I built**: a pre-registered 14-cell × SPY/QQQ replication family (frozen at commit `0d67889` before any results) on the July lab's real-option-bar harness — rebuilt its deleted \~13M-row cache and extended it to 619 sessions per underlying through 2026-07-24. Before trusting results, a 9-agent adversarial review found **4 real harness defects** (a null miscalibration worth +1.4t on one cell, silent censoring of v-bounce tail mornings, an entry-window off-by-one excluding the OP's signature 09:31 minute, and a cell that couldn't test its own hypothesis) — all fixed (`4dc6b5a`), everything re-run from scratch.
**What the data says** (full detail in `REDDIT_REPORT.md`, tables in `results_reddit_tables.md`):
* **All 28 cells lose at realistic fills; 27 of 28 lose even at frictionless fills.** The one exception is noise (t +0.5).
* **The signal doesn't exist**: RSI(2) scalps on QQQ — the most OP-like cell — earn exactly **0.0000%/trade gross at zero cost** over 5,835 trades. On the underlying shares, all six signal families are *negative* even at 2bp cost (t as bad as −14) — nowhere near our standing ≥+40bp/day reopen gate.
* **Their exit math is a 2-second-reaction artifact**: our trail cells reproduce their winner shape (29% win rate, +46–54% average winners) but average losses are −27%, not their −3.1% — 0DTE gamma gaps through tight stops at any reaction speed we could implement (we measured −15%→−32% across two 1-minute bars on real prints).
* **"Dynamic indicator selection" makes it worse** — the walk-forward best-indicator meta-cell is the *worst* cell at raw fills. Selection chases noise.
* **The commenter's afternoon 2%-OTM-put play**: the \~1000% winners are real (+700–900% average when they hit) but occur 5–7% of the time; mean −30%/trade with no stop, identical at frictionless fills. It's theta, not spread.

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