“My algorithmic trading system — years of research treated as a lab, not a hunch.”
A bot that trades gold (XAUUSD) in production, built on the scientific method: every decision becomes a hypothesis, tested against market noise, and only stays if the data proves a real edge. Custom infrastructure to separate luck from edge, a notebook of documented findings, 100% deterministic. The proof it's serious: when the analysis showed the algorithm the bot is named after added nothing, I removed it and kept only what held up. Leaner, faster, stronger.
backtest-optimizer
Open source“The method behind my bots, open for anyone to audit.”
Open-source: the protocol I use to optimize a strategy without falling into the trap of fitting the bot to a past that never repeats. It's the public face of the discipline behind Bandit Thompson.
“My bot trades real money. I built a second system whose only job is not to trust it.”
A forensic observer that records, every 15 minutes, everything the trading bot does and the context it did it in — never able to interfere, by contract: read-only. When the data channel started rotting on a recurring basis, it learned to detect the failure and recover on its own: 77 recoveries in the two weeks measured, and 271 by the time it was retired in August, when collection gained a better source. None failed, none needed me.
“I tested six years of EUR/USD against its own noise; what survived became a bot — and every decision was stamped before I saw the result.”
End-to-end quantitative research on EUR/USD: six years of data, out-of-sample walk-forward validation, and decisions locked by gates defined before seeing the result. The confirmed thesis became a bot, now under test on a cloud demo account. It's the Bandit Thompson method applied to a second instrument — proof the edge wasn't luck.