DUOrc™ — Version Comparison · June 22 to June 28, 2026

This page tracks the continuous optimisation of DUOrc™ by TraderLab™ — AutoEdge Systems'™ proprietary AI tuning engine that runs 24 hours a day, 7 days a week. TraderLab™ employs walk-forward optimisation across a rolling dataset, systematically evaluating thousands of parameter combinations across all eleven trading sessions and validating each candidate on out-of-sample periods it has never seen — ensuring results reflect genuine edge rather than curve-fitting. All backtesting and validation is performed on NinjaTrader 8 Playback data, which replays true tick-by-tick Level 1 market data (bid/ask/last) — the highest-fidelity historical simulation environment NinjaTrader offers. It's worth noting that NinjaTrader's built-in optimizer does not support Level 1 Playback data at all — its native optimisation runs only on bar-based historical data, meaning no standard NinjaTrader optimisation tool can match the accuracy of what TraderLab™ produces. This is precisely why we built TraderLab™ from the ground up as a proprietary system sitting alongside the platform. Each version listed in the table below represents a distinct AI-tuned build that has passed this rigorous walk-forward validation process before being logged here.

Every weekend, the latest TraderLab™-tuned release is made available as a public update for all active DUOrc™ subscribers — ensuring your live deployment is always running the most current, AI-optimised configuration. Check back each week to see how the numbers evolve.

TraderTuner83 currently leads this week's series with a Series Score of 21.94 (net P&L of $21,290.62) across 7 TraderLab™-tuned builds. Series Leader is determined by score = net points ÷ trades − max(0, (max drawdown in points − 450) × 0.1) — rewarding consistent, efficient performance per trade while subtracting 0.1 for every point of drawdown beyond 450 pts (the $900 risk threshold on 1 MNQ contract); builds with fewer than 10 trades are disqualified. Check back as new versions clear walk-forward validation and are added to the table and charts below.

A quick note on how to read these numbers: they show how this strategy performed over the past six months of tuning data, so think of them as a guide to recent behavior rather than a guarantee of what's ahead — average daily P&L, max drawdown, and other figures will naturally shift over time. We chose a six-month window because our walk-forward testing showed it strikes the best balance for tuning this type of strategy, and that's also why TraderLab™ re-tunes it every week, with a fresh build released each weekend.