🐘 Stock Market Elephant/The Graveyard Series
The graveyard series Β· bonus autopsy

We bought a vendor ORB strategy and audited the trade log

Sep 8, 2026 Β· 6 min read

A reader sent us a paid TradingView opening-range-breakout strategy β€” the kind sold with a glowing equity curve and one giant number on the sales page: 76% win rate. It looked more profitable than the system we'd spent weeks building and gate-testing. So we exported its full one-year trade log β€” 331 trades on NASDAQ micro futures β€” and did what nobody does before buying: read it.

The sales page vs the CSV

What's advertisedWhat the log says
Win rate76.4%real β€” but keep reading
Average winnerβ€”+23.5 points
Average loserβ€”βˆ’69.6 points
Profit factorβ€”1.10
Year's profit$2,875…trading up to 12 contracts
Profit per contractβ€”$3.10 per trade
Commission columnβ€”$0.00, all 331 rows
Max drawdownβ€”$2,853 β€” as large as the profit

Win 76% of the time, win small, and lose three times bigger when you lose. That's not an edge with a high win rate; it's the win rate purchased from the edge β€” the exact inversion we demonstrated in part 4, running in a paid product.

The commission column is doing the heavy lifting

331 trades at an average of ~3.4 contracts is roughly 1,100 contract round-trips. At realistic micro-futures costs that's about $1,950 in commissions and exchange fees the backtest never paid. Subtract it and the year's $2,875 becomes roughly $900 β€” before slippage, which at this trade frequency comfortably erases the rest. The honest expectation of this strategy is approximately zero, presented as a winner by a checkbox left unticked.

The tell that should end the conversation: zero-bar trades

196 of 331 trades β€” 59% β€” enter and exit inside the same five-minute candle. Backtesting platforms fill same-bar entries and exits at optimistic intrabar prices that no live order flow guarantees; it's the least falsifiable fill assumption in retail backtesting. When most of a system's trades live in that zone, the equity curve isn't evidence β€” it's rendering.

Four checks that took us twenty minutes and would have cost the vendor his sale: (1) Is the commission column zero? (2) Divide profit by contracts traded. (3) Compare average winner to average loser. (4) Count same-bar round trips. Any one of these fails β†’ walk away.

The sizing tell

Position sizes swing from 1 to 12 contracts with no stated rule β€” and the biggest sizes cluster after losing streaks. Whatever the intent, on a prop account that pattern has a name: one of its βˆ’70-point losses at size 12 is a βˆ’$1,680 day, an instant daily-loss-limit violation at most firms. A strategy can be harmless in a vacuum and undeployable inside the rules you'd actually trade under.

The quiet vindication

Strip the presentation away and the vendor's system made independent, real-money-adjacent choices we had tested and rejected on seven years of data: a shorter opening range (our data ranks it below 20–30 minutes), always trading both directions (fails selection tests), and profit-taking tuned for win rate (the part-4 trap). The audit didn't just fail their strategy β€” it out-of-sample confirmed our graveyard. Every grave got a second flower.

The uncomfortable economics: a 76% win rate with a green curve will outsell a 51% win rate with honest gates every single time. Which is why this series exists. Audit the log. It's always in the log.

Educational content only β€” not financial advice; no vendor is identified and results describe one exported log. All comparative results are backtests on real CME MNQ data with realistic costs; backtests differ from live trading. Futures involve substantial risk of loss.