The backtest finished in eleven seconds. The Sharpe ratio was 3.1. The max drawdown: 4%. It was impossible.
The code was elegant—violent, even. It didn’t just optimize parameters; it rewired AmiBroker’s internal pricing engine to inject synthetic latency. The comment in the main function made his skin prickle:
The README was clean, professional, and utterly false.
He compiled the bridge, linked it to AmiBroker, and ran his system against five years of Nikkei 225 futures.
Leo unplugged his internet. He deleted the compiled bridge. Then, with a trembling hand, he opened his own AmiBroker GitHub fork—the public one, full of polite moving average scripts—and added a new repository: AB_Safe_Optimizer .
The last commit was two years old. No stars. One fork.
